Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Robert S. Pomeroy
Since
Specialization
Citations
This map shows the geographic impact of Robert S. Pomeroy'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 Robert S. Pomeroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert S. Pomeroy more than expected).
Fields of papers citing papers by Robert S. Pomeroy
This network shows the impact of papers produced by Robert S. Pomeroy. 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 Robert S. Pomeroy. The network helps show where Robert S. Pomeroy may publish in the future.
Co-authorship network of co-authors of Robert S. Pomeroy
This figure shows the co-authorship network connecting the top 25 collaborators of Robert S. Pomeroy.
A scholar is included among the top collaborators of Robert S. Pomeroy 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 Robert S. Pomeroy. Robert S. Pomeroy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kuperan, K., et al.. (1999). Measuring transaction costs of fisheries co-management in San Salvador Island, Philippines. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 22(4). 45–48.6 indexed citations
11.
Pomeroy, Robert S.. (1998). A process for community-based fisheries co-management. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 21(1). 71–75.22 indexed citations
12.
Katon, B.M., et al.. (1998). Mangrove rehabilitation and coastal resource management: a case study of Cogtong Bay, Philippines. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 21(2). 46–52.7 indexed citations
13.
Abdullah, Raja Syamsul Azmir Raja, K. Kuperan Viswanathan, & Robert S. Pomeroy. (1998). Fisheries co-management and transaction costs. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 21(3). 40–42.4 indexed citations
14.
Pido, Michael D., et al.. (1996). A handbook for rapid appraisal of fisheries management systems.15 indexed citations
15.
Pomeroy, Robert S., et al.. (1996). Impact evaluation of community-based coastal resource management projects in the Philippines. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 19(4). 9–12.33 indexed citations
16.
Pomeroy, Robert S.. (1994). Community management and common property of coastal fisheries in Asia and the Pacific: Concepts, methods and experiences. RePEc: Research Papers in Economics.62 indexed citations
17.
Pomeroy, Robert S.. (1994). Common property regimes. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 17(2). 37–38.3 indexed citations
18.
Pomeroy, Robert S. & Michelle Williams. (1994). Fisheries co-management and small-scale fisheries: a policy brief.. Digital Library Of The Commons Repository (Indiana University).80 indexed citations
19.
Pomeroy, Robert S.. (1990). The economics of production and marketing in a small scale fishery: Matalom, Leyte, Philippines.. UMI eBooks. 50(9). 3001–3002.7 indexed citations
20.
Pomeroy, Robert S., et al.. (1989). Evaluation and application of a holographic aberration corrected imaging spectrograph.. 21(2). 82–84.4 indexed citations
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.