James M. Kapetsky

591 total citations
22 papers, 439 citations indexed

About

James M. Kapetsky is a scholar working on Global and Planetary Change, Aquatic Science and Nature and Landscape Conservation. According to data from OpenAlex, James M. Kapetsky has authored 22 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 5 papers in Aquatic Science and 4 papers in Nature and Landscape Conservation. Recurrent topics in James M. Kapetsky's work include Marine Bivalve and Aquaculture Studies (7 papers), Marine and fisheries research (6 papers) and Fish Biology and Ecology Studies (4 papers). James M. Kapetsky is often cited by papers focused on Marine Bivalve and Aquaculture Studies (7 papers), Marine and fisheries research (6 papers) and Fish Biology and Ecology Studies (4 papers). James M. Kapetsky collaborates with scholars based in United States, United Kingdom and Italy. James M. Kapetsky's co-authors include J. Aguilar-Manjarrez, Jeff Jenness, John M. Hill, L D Worthy, Doris Soto, Gaia Righini, Kai Lorenzen, C. Garaway, Johann D. Bell and J. Moreau and has published in prestigious journals such as Aquaculture, Agricultural and Forest Meteorology and Journal of the World Aquaculture Society.

In The Last Decade

James M. Kapetsky

20 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James M. Kapetsky United States 13 251 152 143 102 55 22 439
Óscar Pérez Spain 9 259 1.0× 122 0.8× 152 1.1× 77 0.8× 34 0.6× 15 404
Celeste Young Australia 6 215 0.9× 135 0.9× 69 0.5× 45 0.4× 15 0.3× 26 364
Shree S. Nath United States 5 140 0.6× 55 0.4× 93 0.7× 60 0.6× 86 1.6× 8 296
Anamarija Frankić United States 5 164 0.7× 100 0.7× 102 0.7× 51 0.5× 13 0.2× 8 278
Muhammad Irham Indonesia 11 91 0.4× 91 0.6× 92 0.6× 58 0.6× 44 0.8× 71 491
Britta Grote Germany 9 233 0.9× 106 0.7× 151 1.1× 85 0.8× 12 0.2× 14 424
Miriam Huitric Sweden 6 258 1.0× 222 1.5× 85 0.6× 53 0.5× 6 0.1× 10 424
P. Medley United Kingdom 12 249 1.0× 234 1.5× 115 0.8× 39 0.4× 11 0.2× 24 417
Marcelo Vasconcellos Canada 14 477 1.9× 442 2.9× 243 1.7× 88 0.9× 21 0.4× 24 794
Confred G. Musuka Zambia 6 85 0.3× 105 0.7× 128 0.9× 24 0.2× 19 0.3× 17 301

Countries citing papers authored by James M. Kapetsky

Since Specialization
Citations

This map shows the geographic impact of James M. Kapetsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James M. Kapetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Kapetsky more than expected).

Fields of papers citing papers by James M. Kapetsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Kapetsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James M. Kapetsky. The network helps show where James M. Kapetsky may publish in the future.

Co-authorship network of co-authors of James M. Kapetsky

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Kapetsky. A scholar is included among the top collaborators of James M. Kapetsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James M. Kapetsky. James M. Kapetsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aguilar-Manjarrez, J., James M. Kapetsky, & Doris Soto. (2010). The potential of spatial planning tools to support the ecosystem approach to aquaculture. 43 indexed citations
2.
Aguilar-Manjarrez, J., et al.. (2010). The potential of spatial planning tools to support the ecosystem approach to aquaculture. FAO/Rome Expert Workshop, Rome, Italy, 19-21 November, 2008.. 15 indexed citations
3.
Kapetsky, James M., J. Aguilar-Manjarrez, & Doris Soto. (2010). Status and potential of spatial planning tools, decision-making and modelling in implementing the ecosystem approach to aquaculture.. 17–176. 3 indexed citations
4.
Kapetsky, James M. & J. Aguilar-Manjarrez. (2010). Geographic information systems, remote sensing and mapping for the development and management of marine aquaculture. 66 indexed citations
5.
Kapetsky, James M. & J. Aguilar-Manjarrez. (2009). Sistemas de información geográfica, sensores remotos y mapeo para el desarrollo y la gestión de la acuicultura marina.
6.
Kapetsky, James M. & J. Aguilar-Manjarrez. (2002). Geographical Information Systems in aquaculture development and management from 1985 to 2002: an assessment. 2 indexed citations
7.
Lorenzen, Kai, U.S. Amarasinghe, D. M. Bartley, et al.. (2000). Strategic review of enhancements and culture-based fisheries. Deakin Research Online (Deakin University). 221–237. 14 indexed citations
8.
Kapetsky, James M.. (2000). Present applications and future needs of meteorological and climatological data in inland fisheries and aquaculture. Agricultural and Forest Meteorology. 103(1-2). 109–117. 14 indexed citations
9.
Kapetsky, James M., et al.. (1998). A strategic assessment of the potential for freshwater fish farming in the Caribbean island States. Food and Agriculture Organization of the United Nations eBooks. 3 indexed citations
10.
Kapetsky, James M., et al.. (1995). Monitoring wetlands for fisheries by NOAA AVHRR LAC thermal data. Florence Research (University of Florence). 13 indexed citations
11.
Kapetsky, James M.. (1994). A strategic assessment of warm-water fish farming potential in Africa. 45 indexed citations
12.
Kapetsky, James M., et al.. (1991). Where are the best opportunities for fish farming in Ghana? The Ghana Geographical Information System as a decision-making tool for fish farming development. Based on the work of J.M. Kapetsky, U.N. Wijkstrom, N.MacPherson, M.M.J. Vincke, E. Ataman, F. Caponera.. 4 indexed citations
13.
Kapetsky, James M., et al.. (1990). Assessing Potential for Aquaculture Development with a Geographic Information System. Journal of the World Aquaculture Society. 21(4). 241–249. 12 indexed citations
14.
Kapetsky, James M., John M. Hill, & L D Worthy. (1988). A geographical information system for catfish farming development. Aquaculture. 68(4). 311–320. 42 indexed citations
15.
Kapetsky, James M., et al.. (1988). Worldwide compendium of mangrove-associated aquatic species of economic importance. 23 indexed citations
16.
Kapetsky, James M., et al.. (1987). A geographical information system and satellite remote sensing to plan for aquaculture development a FAO - UNEP/GRID cooperative study in Costa Rica. 26 indexed citations
17.
Kapetsky, James M., et al.. (1984). Management of coastal lagoon fisheries = Amenagement des peches dans les lagunes cotieres. Food and Agriculture Organization of the United Nations eBooks. 4 indexed citations
18.
Kapetsky, James M., et al.. (1984). Management of coastal lagoon fisheries [Mediterranean]. [Papers]. 1 indexed citations
19.
Kapetsky, James M., et al.. (1983). Pelagic fish and fisheries of tropical and subtropical natural lakes and reservoirs. 8 indexed citations
20.
Kapetsky, James M., et al.. (1973). The Grand Traverse Bay Sport Fishery: Angler Activity, Revenue, and Economic Impact. Deep Blue (University of Michigan).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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