Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective

Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have contributed about 66% of the total authors and about 55% of the total affiliated institutions. Indicates few numbers of countries has substantial participation to statistical science research, while large majority has nominal contributions. Of which, USA contributes the most (31%) followed by India, Canada, France and Japan. Result therefore indicates presence of ‘sort of ‘clique’ with dominant foreign coauthors. Further analysis reveals that, unilateral collaboration dominates at the country level whereas at the institution level bilateral collaboration dominates - implies authors from two different institutions of same country are key contributors of this specialty. Indian Statistical Institute (native institute of the source journal) found to be the most productive institution. Study therefore signifies skewed distribution of co-authorship with limited evidence of cross-country collaboration. Furthermore, Google Scholar citation analysis showed that collaboration has significant positive influence on the article impact

Authorship Pattern and Research Collaboration of Journal of Informetrics

The study highlights the authorship pattern and research collaboration in the area of Informetrics based on 420 scholarly communications appeared in the Journal of Informetrics during 2007 to 2013. Study illustrates various significant aspects like –types and trends of authorship, author productivity, degree of collaboration,collaborative index, geographical diffusion and institutional diversification of authorship. Findings suggest tangible growth of Informetrics literature over the years with predominantly multi-authored contributions. Result also show that Informetrics research is unevenly scattered among 251 institutions from 38 countries around the globe

Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective

Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have contributed about 66% of the total authors and about 55% of the total affiliated institutions. Indicates few numbers of countries has substantial participation to statistical science research, while large majority has nominal contributions. Of which, USA contributes the most (31%) followed by India, Canada, France and Japan. Result therefore indicates presence of ‘sort of ‘clique’ with dominant foreign coauthors. Further analysis reveals that, unilateral collaboration dominates at the country level whereas at the institution level bilateral collaboration dominates - implies authors from two different institutions of same country are key contributors of this specialty. Indian Statistical Institute (native institute of the source journal) found to be the most productive institution. Study therefore signifies skewed distribution of co-authorship with limited evidence of cross-country collaboration. Furthermore, Google Scholar citation analysis showed that collaboration has significant positive influence on the article impact

Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective

Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have contributed about 66% of the total authors and about 55% of the total affiliated institutions. Indicates few numbers of countries has substantial participation to statistical science research, while large majority has nominal contributions. Of which, USA contributes the most (31%) followed by India, Canada, France and Japan. Result therefore indicates presence of ‘sort of ‘clique’ with dominant foreign coauthors. Further analysis reveals that, unilateral collaboration dominates at the country level whereas at the institution level bilateral collaboration dominates - implies authors from two different institutions of same country are key contributors of this specialty. Indian Statistical Institute (native institute of the source journal) found to be the most productive institution. Study therefore signifies skewed distribution of co-authorship with limited evidence of cross-country collaboration. Furthermore, Google Scholar citation analysis showed that collaboration has significant positive influence on the article impact

A sustainability impact-assessment tool for selected building technologies in rural India :the case of the Andhra Pradesh primary education project

PhD ThesisThe United Nations Commission on Environment and Development, AGENDA 21, The Millennium Development Goals, etc. indicate that there is a worldwide concern for sustainable development. Construction is an essential human activity in development programmes. It is an important component of sustainable development. The decision makers should examine every constructon projectb efore it is implemented.T herefore,t here is a need for an assessmentt ool to examinet he sustainabilityi mpactso f construction.T he existinga ssessmentm ethodsw ere found to be mostly based on environmental sustainability and thus, there was a need for developing an assessment tool, taking into account the social and economic issues also. The data and experience of the primary school construction project in a rural district of Andhra Pradesh (India) was adopted as a basis of assessment tool development The aim of this dissertation was to provide an impact assessment tool for the decision makers to select sustainable building construction technologies in the context of social infrastructure developmenti n rural India. It also aimed to demonstrateh ow to calculatet he socio-economica nd environmentailm pactst hrought he use of differentw alling and roofingc onstructiont echnologies. The dissertation's objectives were to examine the efficacy of the primary school construction project in Andhra Pradesh as a base for developing an impact assessment tool, to develop a process of calculation and determining the actual values of the socio economic and environmental impacts of selected building technologies, to demonstrate the selection process of the combination of walling and roofing technologies having optimum life cycle socio-economic and environmental impacts, to demonstrate the effect of weights on the selection process and to enable decision makers to develop databases on new construction and life cycle impacts in other contexts and to select sustainable building construction technologies.Department For International Development (DFID) India

Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective

Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have contributed about 66% of the total authors and about 55% of the total affiliated institutions. Indicates few numbers of countries has substantial participation to statistical science research, while large majority has nominal contributions. Of which, USA contributes the most (31%) followed by India, Canada, France and Japan. Result therefore indicates presence of ‘sort of ‘clique’ with dominant foreign coauthors. Further analysis reveals that, unilateral collaboration dominates at the country level whereas at the institution level bilateral collaboration dominates - implies authors from two different institutions of same country are key contributors of this specialty. Indian Statistical Institute (native institute of the source journal) found to be the most productive institution. Study therefore signifies skewed distribution of co-authorship with limited evidence of cross-country collaboration. Furthermore, Google Scholar citation analysis showed that collaboration has significant positive influence on the article impact

Aspects of Authorship in journal special issues: An experience from DESIDOC Journal of Library and Information Technology

In the spirit of introspection, present study bibliometrically analyses 59 special issues comprising of 346 scholarly articles of DESIDOC Journal of Library and Information Science (DJLIT). To investigate the metrics of author inclusiveness of special issue publications, present study examines authorship pattern, nature of authorship, trend and type of collaboration along with some demographic attributes like seniority, gender and professional rank/positions. Subsequent analysis focuses on prolific contributors, degree of collaboration, collaborative index, geographical and institutional diversities. The study shows sustainable growth of special issues with domination of senior/ veteran authors from national research institutions around New Delhi. Dominance of single authors (with nominal senior – senior collaboration) is attributed to less author diversity in this specialty. Author base is mostly endowed with blend of senior academia and LIS practitioners (having senior signing pattern) besides stray participations of specialized professionals. Study, therefore recognizes the fact that LIS special issue literatures are dominated by eminent and veteran authors, which eventually help to elevate scholar- ship, visibility and reputation of the source journal

Bioconversion of Agricultural and Food Wastes to Vinegar

Agricultural residues and fruit/food wastes are a curse to the environment but this can also play an important role in meeting the growing needs for energy, value-added chemicals, and food security problems. Vinegar is an acidic liquid whose major component is acetic acid and consists of different organic acids and bioactive compounds. Vinegar is a substance produced by the acetic acid bacteria Acetobacter and Gluconobacter that has a 4% acetic acid content. For the efficient biological production of acetic acid, a variety of renewable substrates are used, including agro and food, dairy, and kitchen wastes. This reduces waste and lowers environmental pollution. There are different types of traditional vinegar available all over the world and have many applications. Vinegar can be made either naturally, through alcoholic and then acetic fermentation, or artificially, in laboratories. This chapter emphasizes the production and biotransformation of agricultural and fruit wastes into vinegar and the genetic manipulations done on microorganisms to utilize a wide range of substrates and achieve maximum product titer

Scientometric Evaluation of Sankhyá - the Indian Journal of Statistics

This paper analyses 199 peer-reviewed articles published in Sankhyā during 2003 to 2007. It examines authorship pattern, collaboration trend among authors, predominant areas of statistical research, and time lag in publications, prolific contributors, degree of collaboration, collaboration density, active sub-domains of statistics and time lag trend. Findings reveal that the number of articles reduced from 24.6% to 14.0% that conforms to the growth trend of statistical publications in India and the author productivity is not in agreement with Lotka’s law. The study also shown an average time lag of fifteen months to publish an article, and a declining trend of time lags following second-degree polynomial type has been observed in this scholarly journal