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Describes how the idea of normalised impact factor came into being and the method of its determination. In all, five properties of the normalised impact factor have been identified and described. It is observed that the ranking of a journal in its own category is better revealed by the normalised impact factor and the average normalised impact factor seems to provide better indication of the comparative performance of a set of laboratories engaged in diverse areas of research.

A formula for the ranking of scientists based on diachronous citation counts is proposed. The paper generalises the fact that the citation generation potential (CGP) is not the same for all papers, it differs from paper to paper, and also to a certain extent depends on the subject domain of the papers. The method of ranking proposed in no way replaces peer review. It merely acts as an aid for peers to help them arrive at a better judgement.

Symbols for concepts like ‘half life’, ‘impact factor’, ‘normalised impact factor’ and ‘immediacy index’ are proposed and formulas for the determination of their values are provided. The features of the concepts are also highlighted.

Quantum-dot cellular automata (QCA) is a promising technology, which seems to be the prospective substitute for complementary metal-oxide semiconductor (CMOS). It is a high speed, high density and low power paradigm producing efficient circuits. These days, most of the smart devices used for computing, make use of random access memory (RAM). To enhance the performance of a RAM cell, researchers are putting effort to minimize its area and access time. Multilayer structures in QCA framework are area efficient, fast and immune to the random interference. Unlike CMOS, QCA multilayer architectures can be designed using active components on different layers. Thus, using multilayer topology in the design of a RAM cell, which is not yet reported in the literature can improve the performance of RAM and hence, the computing device. This paper aims to present the modular design of RAM cell with multilayer structures in the QCA framework. The fundamental modules such as XOR gate, 2:1 multiplexer and D latch are proposed here using multilayer formations with the goal of designing a RAM cell with the provision of read, write, set and reset control.

All the modules used to design a RAM cell are designed using multilayer approach in QCA framework.

The proposed multilayer RAM cell is optimized and has shown an improvement of 20% in cell count, 30% in area, 25% in area latency product and 48.8% in cost function over the other efficient RAM designs with set/reset ability reported earlier. The proposed RAM cell is further analyzed for the fault tolerance and power dissipation.

Due to the multilayer structure, the complexity of the circuit enhances which can be eliminated using simple architectures.

The performance metrics and results obtained establish that the multilayer approach can be implemented in the QCA circuit to produce area efficient and optimized sequential circuits such as a latch, flip flop and memory cells.

This communication describes the building of a list of constructed impact factors (CIF) for biomedical journals not included in the 1996 editions of the Journal Citation Reports (JCR). The online retrieval from the host DIMDI of the data needed for impact factor calculation is described in detail. At present, the CIF list comprises 338 titles. The top 100 (ranked according to their CIFs) are shown. The complete list is available via the World Wide Web at the URL: http://www.medizin.fu‐berlin.de/medbib/CIF/cif.html. The possible usefulness of constructed impact factors for citation and evaluation studies is discussed.

Increasingly, how well organisations innovate is becoming the single most important issue in determining their ultimate success. Referencing a variety of cases primarily drawn from governmental organisations, this paper argues that the key to successful innovation implementation rests on the convergence of three different factors. First, an innovation must be properly framed in terms of stakeholders’ expectations. Secondly, a good internal innovation environment must be present. Finally, the pros of specific attributes of innovations must outweigh their cons. The Eight other conditions, in which one or more of these factors is not positive, result in differing degrees of success and failure, with different implications for organisational outcomes. These eight conditions, and their associated propositions, are discussed in terms of their heuristic value for bridging gaps in differing parties’ understanding of innovation processes and future directions for research, including the interaction of power and type of innovation.

The purpose of this paper is to assess the present situation in the development of indigenous digital libraries in India. The study aims to evaluate different retrieval features of Indian digital libraries, especially those provide access to multilingual and multimedia documents.

For this study, eight digital libraries originated in India, which are available in 24×7 timeframe and accessible worldwide through the internet, have been identified and selected. The retrieval features and other information on these digital libraries have been collected mostly from their respective websites and from other published literature, annual reports, etc.

The paper finds that Indian digital libraries provide universal access to informative and culturally rich digital content related to South Asian region. The digitisation efforts in Indian institutions make these digital libraries operational.

The institutional repositories and open access archives of Indian institutions that give access to the current research literature are not included in this study, because their retrieval features are mostly similar to each other as they use either DSpace or GNU EPrints open source software.

Indigenous digital libraries in India provide universal access to information and knowledge related to culture and heritage of people of South Asian counties. This study gives an insight on how diverse contents are integrated and disseminated to the end‐users in a user‐friendly manner. This study also indicates research initiatives on different aspects of multilingual contents in this region.

No such evaluation on Indian digital libraries has been done from the perspective of information retrieval features. This study will generate new knowledge in area of indigenous digital libraries in a developing country like India. This study is also an attempt to popularise Indian indigenous digital libraries among the world community.

The International Centre in Paris of the International Serials Data System (ISDS) maintains the database of world serial publications and functions through a network of national and regional centres in various countries. ISDS is an intergovernmental organization established within the framework of the Unesco‐UNISIST programme. The Indian National Centre for ISDS was set up in January 1986 at the Indian National Scientific Documentation Centre (INSDOC), New Delhi, for identification, registration, creation and maintenance of records of serial publications published in India, as well as for monitoring and promoting the use of International Standard Serial Numbers (ISSN). So far, printed Data Transmittal Sheets (DTS) have been used by this centre to send data of serial publications to be incorporated in the ISDS database at the International Centre (IC). Now the Indian centre has developed a computerised system by which the data of serial publications can be transferred directly onto computer designed DTS. The database so created has also been used to produce ISDS‐India Bulletin which describes the collection of records of serials published in India.

The objective of this paper is to investigate the impact of risk disclosures on firm value. We further investigate whether effective governance moderates the relation between risk disclosures and firm value.

We use a sample of the top 200 Indian listed firms on NSE from 2013 to 2018. The generalised method of moments (GMM) along with the ordinary least square (OLS) is used to investigate our research problem. Further, we use the Propensity Score Matching (PSM) technique and the Heckman selection model for correcting selection bias in the robustness section.

We find that higher risk disclosures result in lower firm value. Besides, we show that better governance minimizes the negative impact of risk disclosures on firm value. This finding encourages firms to have a good governance mechanism to mitigate the adverse effects of risk disclosures in public.

The main contribution of our paper is to examine the moderating effect of governance between risk disclosures in the annual report and firm value (market-based and accounting-based) in the context of an emerging economy. Moreover, the paper highlights the potential moderating effect of independent directors and resourceful boards on the risk disclosures and firm value in the Indian context.

For those who plan research funds and assess the research performance from the funds, it is necessary to overcome the limitations of the conventional classification of evaluated papers published by the research funds. Besides, they need to promote the objective, fair clustering of papers, and analysis of research performance. Therefore, the purpose of this paper is to find the optimum clustering algorithm using the MATLAB tools by comparing the performances of and the hybrid particle swarm optimization algorithms using the particle swarm optimization (PSO) algorithm and the conventional K-means clustering method.

The clustering analysis experiment for each of the three fields of study – health and medicine, physics, and chemistry – used the following three algorithms: “K-means+Simulated annealing (SA)+Adjustment of parameters+PSO” (KASA-PSO clustering), “K-means+SA+PSO” clustering, “K-means+PSO” clustering.

The clustering analyses of all the three fields showed that KASA-PSO is the best method for the minimization of fitness value. Furthermore, this study administered the surveys intended for the “performance measurement of decision-making process” with 13 members of the research fund organization to compare the group clustering by the clustering analysis method of KASA-PSO algorithm and the group clustering by research funds. The results statistically demonstrated that the group clustering by the clustering analysis method of KASA-PSO algorithm was better than the group clustering by research funds.

This study examined the impact of bibliometric indicators on research impact of papers. The results showed that research period, the number of authors, and the number of participating researchers had positive effects on the impact factor (IF) of the papers; the IF that indicates the qualitative level of papers had a positive effect on the primary times cited; and the primary times cited had a positive effect on the secondary times cited. Furthermore, this study clearly showed the decision quality perceived by those who are working for the research fund organization.

There are still too few studies that assess the research project evaluation mechanisms and its effectiveness perceived by the research fund managers. To fill the research void like this, this study aims to propose PSO and successfully proves validity of the proposed approach.