Refine your search
Collections
Co-Authors
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Datta, Surjya Narayan
- Research Dynamics in Indian Fisheries and Aquaculture:A Scientometric Analysis
Abstract Views :231 |
PDF Views:82
Authors
Affiliations
1 University Library, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141 004, IN
2 Department of Fisheries Resource Management, College of Fisheries, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141 004, IN
3 Indian Institute of Technology Ropar, Nangal Road, Rupnagar 140 001, IN
1 University Library, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141 004, IN
2 Department of Fisheries Resource Management, College of Fisheries, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141 004, IN
3 Indian Institute of Technology Ropar, Nangal Road, Rupnagar 140 001, IN
Source
Current Science, Vol 117, No 3 (2019), Pagination: 382-389Abstract
The study was carried out to map out the dynamics of scientific output in fisheries and aquaculture in India during the decade 2007–2016, applying scientometric tools. The publication pattern, most productive journals and author have been identified and statistical analysis of citations to publications has been executed. The data was retrieved from ‘Scopus’ database for phrases such as ‘fisheries’, ‘fishery’ and ‘aquaculture’ as main operators. The search results were filtered for journal articles, English language and for the period 1 January 2007–31 December 2016. The authorship, geographical and keyword landscapes were visualized using free to use visualization software. The study revealed that the number of articles on fisheries and aquaculture have more than doubled from 2007 to 2016. The results indicated a significant correlation between number of citations and number of years from which the article has been published. The United States emerged to be the top most collaborator of India to work in this field followed by South Korea, United Kingdom, Japan and Germany. The network visualization is expected to be useful to the scientific community in analysing the research trends in subject under study and further strengthening the research activities.Keywords
Aquaculture, Fisheries, Chronological Growth, International Collaboration, Network Visualization, Scientometric Study.Full Text
References
- FAO, How to feed the world in 2050: insights from an expert meet of FAO. 2009, 1–35; http://www.fao.org/wsfs/forum2050/wsfsforum/ en/.
- World Bank, Fish to 2030: prospects for fisheries and aquaculture, 2014.
- Subasinghe, R., Fishing for development, background paper for session 3: Green growth in fisheries and aquaculture, 2014; https://www.oecd.org/tad/events/Fishing-for-development-2014-Session-3-GG-in-aquaculture.pdf.
- Thorpe, A., Reid, C., Van Anrooy, R., Brugere, C. and Becker, D., Poverty reduction strategy papers and the fisheries sector: an opportunity forgone? J. Int. Dev., 2006, 18(4), 489–517.
- Mohanty, B. P., Behera, B. K. and Sharma, A. P., Nutritional significance of small indigenous fishes in human health, 2010.
- NFDB, About Indian fisheries, 2016; http://nfdb.gov.in/about-indian-fisheries.htm.
- Kumar, B. G. and Datta, K. K., Impact of science and technology on Indian fisheries sector, 2008; http://www.nistads.res.in/indiasnt2008/t6rural/t6rur11.htm.
- Poletto, V. C. and Faraco Junior, I. M., Bibliometric study of articles published in a Brazilian Journal of pediatric dentistry. Braz. Oral Res., 2010, 24(1), 83–88; http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-832420100001000 14&lng=en&tlng=en.
- Dias, J. D., Simões, N. R. and Bonecker, C. C., Net cages in fish farming: a scientometric analysis. Acta Limnol. Bras., 2012, 24, 12–17.
- Sylvain, C., Canadian research activity in aquaculture: a bibliometric analysis. Scientometrics, 1993, 27(3), 295–316.
- Santos, S. R. and Vianna, M., Scientometric analysis of the fisheries science for the species of cynoscion (sciaenidae: perciformes) from the Western Atlantic, with emphasis in the comparison of the North American and Brazilian fisheries catch data. Rev. Fish. Sci. Aquac., 2017, 26(1), 55–69; doi:10.1080/23308249.2017.1337078.
- Aksnes, D. W. and Browman, H. I., An overview of global research effort in fisheries science. ICES J. Mar. Sci., 2016, 73, 1004–1011; https://doi.org/10.1093/icesjms/fsv248.
- Natale, F., Fiore, G. and Hofherr, J., Mapping the research on aquaculture. A bibliometric analysis of aquaculture literature. Scientometrics, 2012, 90(3), 983–999.
- Alves, D. C. and Minte-Vera, C. V., Scientometric analysis of freshwater fisheries in Brazil: repeating past errors? Rev. Fish Biol. Fish., 2013, 23(1), 113–126.
- Singh, N., European journal of phycology: a bibliometric study. Int. J. Inf. Dissem. Technol., 6(3), 145–150.
- Kumaresan, R., Ezhilrani, R., Vinitha, K. and Jayaraman, R., Indian research contributions in the aquaculture journal during 1972–2011: a scientometric study. Lib. Philos. Pract. (e-journal), 2014, 1185.
- Jayashree, B. and Arunachalam, S., Mapping fish research in India. Curr. Sci., 2010, 79(5), 613–620.
- Arunachalam, S. and Jayashree, B., Fish science research in China: how does it compare with fish research in India? Scientometrics, 2001, 52(1), 13–28.
- Rana, Madan, S. and Agarwal, S., Authorship trends in Indian wildlife and fisheries literature – a bibliometric study. Ann. Lib. Sci. Doc., 1994, 41(1), 13–18.
- Ezhilrani, R., Surianarayanan, S. and Kanthimathi, S., Authorship pattern and collaborative research in aquaculture journals. SRELS J. Inf. Manage., 2006, 43(4), 391–398.
- Ponnudurai, R. and Shabu, Research productivity on fish and fishing industry in India. Int. J. Pharm. Biol. Arch., 2013, 4(4), 747– 750.
- Chaman Sab, M., Dharani Kumar, P. and Biradar, B. S., Scientometric study of the research performance on fishery: the Indian perspective. J. Adv. Lib. Inf. Sci., 2016, 5(2), 337–341.
- Van Eck, N. J. and Waltman, L., Visualizing bibliometric networks. In Measuring Scholarly Impact: Methods and Practice (eds Ding, Y., Rousseau, R. and Wolfram, D.), Springer, 2014, pp. 285–320.