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The study's main purpose is to scrutinize Google Scholar profiles and find the answer to the question, “Do authors play fair or manipulate Google Scholar Bibliometric Indicators like h-index and i10-index?”

The authors scrutinized the Google Scholar profiles of the top 50 library and science researchers claiming authorship of 21,022 publications. The bibliographic information of all the 21,022 publications like authorship and subject details were verified to identify accuracy, discrepancies and manipulation in their authorship claims. The actual and fabricated entries of all the authors along with their citations were recorded in the Microsoft Office Excel 2007 for further analyses and interpretation using simple arithmetic calculations.

The results show that the h-index of authors obtained from the Google Scholar should not be approved at its face value as the variations exist in the publication count and citations, which ultimately affect their h-index and i10 index. The results reveal that the majority of the authors have variations in publication count (58%), citations (58%), h-index (42%) and i10-index (54%). The magnitude of variation in the number of publications, citations, h-index and i10-index is very high, especially for the top-ranked authors.

The scope of the study is strictly restricted to the faculty members of library and information science and cannot be generalized across disciplines. Further, the scope of the study is limited to Google Scholar and caution needs to be taken to extend results to other databases like Web of Science and Scopus.

The study has practical implications for authors, publishers, and academic institutions. Authors must stop the unethical research practices; publishers must adopt techniques to overcome the problem and academic institutions need to take precautions before hiring, recruiting, promoting and allocating resources to the candidates on the face value of the Google Scholar h-index. Besides, Google needs to work on the weak areas of Google Scholar to improve its efficacy.

The study brings to light the new ways of manipulating bibliometric indicators like h-index, and i10-index provided by Google Scholar using false authorship claims.

The purpose of this study is to analyze the use of Google Scholar Citations’ profiling platform by library and information science (LIS) scholars in Pakistan.

Purposive sampling was used to collect Google Scholar Citations profiles between 15 November 2017 and 31 January 2018. Resultant data were analyzed in SPSS Version 21.

In terms of demographical data, the study results were consistent with previous studies of Pakistani LIS scholars. There were strong correlations between Google Scholar Citations metrics (publications, citations, h-index and i10-index). The results indicate that, compared with a 2011 survey of LIS academics in Pakistan, the overall uptake for this cohort remains relatively low. This cohort is not maximizing the opportunity provided by this specific online profiling system to increase research visibility.

As the study was limited to those Pakistani LIS scholars who already had a profile on ResearchGate, it would be useful to broaden the research to encompass all Pakistani LIS scholars.

The role of the librarian as an adviser in scholarly communication and impact can be extended to support scholars in the adoption of new online platforms for scholarly communication and visibility.

There have been no published research studies on Google Scholar Citations metrics in the context of Pakistani LIS scholars as a whole.

In the present paper, the three-phase-lag (3PHL) model, Green-Naghdi theory without energy dissipation (G-N II) and Green-Naghdi theory with energy dissipation (G-N III) are used to study the influence of the gravity field on a two-temperature fiber-reinforced thermoelastic medium.

The analytical expressions for the displacement components, the force stresses, the thermodynamic temperature and the conductive temperature are obtained in the physical domain by using normal mode analysis.

The variations of the considered variables with the horizontal distance are illustrated graphically. Some comparisons of the thermo-physical quantities are shown in the figures to study the effect of the gravity, the two-temperature parameter and the reinforcement. Also, the effect of time on the physical fields is observed.

To the best of the author’s knowledge, this model is a novel model of plane waves of two-temperature fiber-reinforced thermoelastic medium, and gravity plays an important role in the wave propagation of the field quantities. It explains that there are significant differences in the field quantities under the G-N II theory, the G-N III theory and the 3PHL model because of the phase-lag of temperature gradient and the phase-lag of heat flux.

Seven years after the release of Google Scholar in 2004, it was enhanced by a new module, the Google Scholar Author Citation Tracker (GSACT), currently a small subset of the complete Google Scholar (GS) database. The aim of this paper is to focus on this enhancement.

The paper discusses the Google Scholar Author Citation Tracker, its features, potential benefits and problems.

GSACT allows registered users to create and edit their scientific profiles and some bibliometric indicators, such as the h‐index, total citation counts, and the i10 index. These metrics are provided for the entire academic career of authors and for the most recent five‐year period. The new module also offers some long overdue essential options, such as sorting result lists of the documents by their publication year, title, and the citations received

The paper shows that, at present, GSACT may be too little, too late. However, with an extension of the current clean‐up project it could possibly become a really scholarly resource in the long run.

The study of sustainability within universities is recognized as essential for debates and research; in the long term, the “sustainable university” concepts can contribute to sustainability from a larger perspective. This study aims to propose a conceptual model for evaluating the students’ sustainability considering their interactions with the university and the environment. The proposed model is titled Sunshine model. It is applied to students of the La Salle University, Peru.

The model combines academic performance, happiness and the ecological footprint to quantify university students’ sustainability. A structured questionnaire survey was elaborated and applied to get the raw data that feeds the three methods. The students’ average grades evaluate academic performance. Happiness is quantified by the happiness index method, and the ecological footprint is measured by the demand for food, paper, electricity, transport and built-up areas. Results are evaluated under both approaches, overall group performance and clusters.

The proposed model avoids misleading interpretations of a single indicator or discussions on sustainability that lack a conceptual model, bringing robustness in assessing students’ sustainability in universities. To have a low ecological footprint, the student needs to need up to 1 planet for their lifestyle, be considered happy with at least 0.8 (of 1) for happiness index, and have good academic performance with at least a grade of 7 (of 10) in their course. Regarding the case study, La Salle students show a high academic grade degree of 7, a high level for happiness index of 0.8 and low performance for ecological footprint by demanding 1.8 Earth planets, resulting in an “environmentally distracted” overall classification for students with 2019 data. From a cluster approach, 81% of evaluated students (n = 603) have low performance for ecological footprint, whereas 31% have low performance for indicators of recreational activities of happiness. Changing lifestyles and making more recreational activities available play crucial roles in achieving higher sustainability for the La Salle students.

The happiness assessment questionnaire can be subject to criticism, as it was created as a specific method for this type of audience based on existing questionnaires in the literature. Although it can be seen as an important approach for diagnoses, the proposed model does not consider the cause–effect aspect. The decision-maker must consider the sociocultural aspects before implementing plan actions.

University managers can better understand why university students have high or low sustainability performance and provide more effective actions toward higher levels of students’ sustainability.

The proposed model, Sunshine model, overcomes the single-criteria existing tools that access the sustainability of universities. Rather than focusing on university infrastructure, the proposed model focuses on the students and their relationship with the university.

The purpose of this paper is to study a model of the equations of a two-dimensional problem in a half space, whose surface in a free micropolar thermoelastic medium possesses cubic symmetry as a result of inclined load. The problem is formulated in the context of Green-Naghdi theory of type II (G-N II) (without energy dissipation) and of type III (G-N III) (with energy dissipation) under the effect of magnetic field.

The normal mode analysis is used to obtain the exact expressions of the physical quantities.

The numerical results are given and presented graphically when the inclined load and magnetic field are applied. Comparisons are made with the results predicted by G-N theory of both types II and III in the presence and absence of the magnetic field and for different values of the angle of inclination.

In the present work, the authors study the influence of inclined load and magnetic field in a micropolar thermoelastic medium in the context of the G-N theory of both types II and III. Numerical results for the field quantities are obtained and represented graphically.

The purpose of this paper is to investigate the dynamic response for a thermoelastic infinite medium with a spherical cavity in the context of the theory of two-temperature thermoelasticity without energy dissipation.

The cavity is fixed and subjected to a subjected to harmonically varying temperature.

The exact expressions for displacement, temperature and thermal stresses are computed and represented graphically. These distributions are calculated for a copper material and results are analyzed.

Effects of non-simple heat conduction, frequency of thermal vibrations and magnetic field are depicted graphically on the field variables.

Research impact has taken on increased importance at both a micro- and macro-level and is a key factor today in shaping the careers of real estate researchers. This has seen a range of research impact metrics become global benchmarks when assessing research impact at the individual academic level and journal level. Whilst recognising the limitations of research impact metrics, this paper uses these research impact metrics to identify the leading research impact researchers in real estate, as well as the leading real estate journals in the real estate impact space. The nexus between research quality and research impact is also articulated. As well as focusing on research quality, strategies are identified for the effective incorporation of research impact into a real estate researcher's agenda to assist their research careers; particularly for Early Career Researchers in real estate.

The research impact profile of over 150 real estate researchers and 22 real estate journals was assessed using Google Scholar and Publish or Perish. Using the research impact metrics of the h-index, total citations and i10, the leading high impact real estate researchers as well as the high impact real estate journals are identified.

Based in these research impact metrics, the leading real estate researchers in impactful real estate research are identified. Whilst being US focused, there is clear evidence of increasing roles by ERES, AsRES and PRRES players. The leading real estate journals in the impact space are identified, including both real estate-specific journals and the broader planning/urban policy journals, as well as being beyond just the standard US real estate journals. Researcher career strategies are also identified to see both research quality and research impact included as balanced elements in a real estate researcher's career strategy.

With research impact playing an increased role in all real estate researchers' careers, the insights from this paper provide strong empirical evidence for effective strategies to expand the focus on the impact of their real estate research agendas. This sees a balanced strategy around both research quality and research impact as the most effective strategy for real estate researchers to achieve their research career goals.

Research impact has taken on increased importance globally and is an important factor in shaping real estate researchers' careers. Using research impact metrics, this is the first paper to rigorously and empirically identify the leading research impact players and journals in real estate, as well as identifying strategies for the more effective inclusion of impact in real estate researchers' agendas.

This paper includes regional, behavioral and biological issues of men that lead them to high mortality rate in Pakistan. The study was design to factories the major cause of gender inequality of infection. This study focused on regional, behavioral and biological issues of men that lead to high mortality rate.

The statistical datum was collected from the official fact finding documents of Government of Pakistan to analyze the gender-based infection rate and mortality count. It was found that among the population of men in Pakistan, the mortality rate is very high.

The epidemiological studies are more threatening because mostly the population which is under real panic comprises older men.

The author declares that all the data was collected from the most authentic source and applied according to their background and biological, behavioral and logical knowledge.

Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.

After a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.

This paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.

The focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.

The transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.

Green supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.

We have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.