Maia Kapur

466 total citations
18 papers, 314 citations indexed

About

Maia Kapur is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Maia Kapur has authored 18 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 8 papers in Nature and Landscape Conservation and 4 papers in Ecology. Recurrent topics in Maia Kapur's work include Marine and fisheries research (15 papers), Fish Ecology and Management Studies (8 papers) and Marine Bivalve and Aquaculture Studies (7 papers). Maia Kapur is often cited by papers focused on Marine and fisheries research (15 papers), Fish Ecology and Management Studies (8 papers) and Marine Bivalve and Aquaculture Studies (7 papers). Maia Kapur collaborates with scholars based in United States, Italy and Australia. Maia Kapur's co-authors include Felipe Carvalho, Henning Winker, Kevin R. Piner, Richard D. Methot, André E. Punt, Mark N. Maunder, Jason M. Cope, Owen S. Hamel, Hui‐Hua Lee and James N. Ianelli and has published in prestigious journals such as Ecology, Biological Conservation and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

Maia Kapur

18 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maia Kapur United States	9	260	156	114	59	17	18	314
Momoko Ichinokawa Japan	13	318 1.2×	177 1.1×	151 1.3×	37 0.6×	23 1.4×	31	396
Felipe Hurtado-Ferro United States	10	471 1.8×	320 2.1×	171 1.5×	47 0.8×	24 1.4×	10	525
Stratis Gavaris Canada	8	405 1.6×	270 1.7×	140 1.2×	60 1.0×	29 1.7×	15	467
Jin Gao China	9	228 0.9×	166 1.1×	146 1.3×	49 0.8×	33 1.9×	27	341
Dean L. Courtney United States	7	172 0.7×	114 0.7×	76 0.7×	24 0.4×	41 2.4×	13	212
Kelli F. Johnson United States	14	629 2.4×	430 2.8×	212 1.9×	71 1.2×	43 2.5×	24	719
Ciarán J. Kelly Ireland	13	453 1.7×	278 1.8×	186 1.6×	108 1.8×	23 1.4×	28	522
Sven Kupschus United Kingdom	10	236 0.9×	149 1.0×	149 1.3×	51 0.9×	39 2.3×	11	295
Taiki Fuji Japan	11	211 0.8×	127 0.8×	145 1.3×	36 0.6×	38 2.2×	32	288
Paul R. Crone United States	12	314 1.2×	237 1.5×	118 1.0×	73 1.2×	13 0.8×	14	368

Countries citing papers authored by Maia Kapur

Since Specialization

Citations

This map shows the geographic impact of Maia Kapur'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 Maia Kapur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maia Kapur more than expected).

Fields of papers citing papers by Maia Kapur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maia Kapur. 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 Maia Kapur. The network helps show where Maia Kapur may publish in the future.

Co-authorship network of co-authors of Maia Kapur

This figure shows the co-authorship network connecting the top 25 collaborators of Maia Kapur. A scholar is included among the top collaborators of Maia Kapur 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 Maia Kapur. Maia Kapur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Kapur, Maia, Melissa A. Haltuch, Brendan Connors, et al.. (2024). Range-wide contrast in management outcomes for transboundary Northeast Pacific sablefish. Canadian Journal of Fisheries and Aquatic Sciences. 81(7). 810–827. 4 indexed citations

Kapur, Maia, et al.. (2024). Good practices, trade-offs, and precautions for model diagnostics in integrated stock assessments. Fisheries Research. 281. 107206–107206. 4 indexed citations

Kokkalis, Alexandros, Casper Willestofte Berg, Maia Kapur, et al.. (2024). Good practices for surplus production models. Fisheries Research. 275. 107010–107010. 11 indexed citations

Maunder, Mark N., Owen S. Hamel, Hui‐Hua Lee, et al.. (2022). A review of estimation methods for natural mortality and their performance in the context of fishery stock assessment. Fisheries Research. 257. 106489–106489. 48 indexed citations

Carvalho, Felipe, Henning Winker, Dean L. Courtney, et al.. (2021). A cookbook for using model diagnostics in integrated stock assessments. Fisheries Research. 240. 105959–105959. 51 indexed citations

Kapur, Maia, et al.. (2021). Equilibrium reference point calculations for the next generation of spatial assessments. Fisheries Research. 244. 106132–106132. 14 indexed citations

Kapur, Maia, et al.. (2020). A codeveloped management tool to determine harvest limits of introduced mud crabs, Scylla serrata (Forskål, 1775), within a Native Hawaiian fishpond. Pacific Conservation Biology. 27(4). 418–431. 2 indexed citations

Kapur, Maia, Melissa A. Haltuch, Brendan Connors, et al.. (2019). Oceanographic features delineate growth zonation in Northeast Pacific sablefish. Fisheries Research. 222. 105414–105414. 13 indexed citations

Winker, Henning, Felipe Carvalho, James T. Thorson, et al.. (2019). JABBA-Select: Incorporating life history and fisheries’ selectivity into surplus production models. Fisheries Research. 222. 105355–105355. 27 indexed citations

10.

Kapur, Maia, et al.. (2019). 2018 Benchmark Stock Assessment of Main Hawaiian Islands Kona Crab. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 1 indexed citations

11.

Berger, Aaron M., Brendan Connors, Jason M. Cope, et al.. (2019). Report on the 2018 International Sablefish Workshop. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 1 indexed citations

12.

Kapur, Maia, et al.. (2018). Standardization of the swordfish Xiphias gladius catch per unit effort data caught by the Hawaii-based longline fishery from 1994-2016 using generalized linear models.. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 1 indexed citations

13.

Syslo, John M., et al.. (2018). Stock assessment for the main Hawaiian Islands Deep 7 bottomfish complex in 2018, with catch projections through 2022.. NOAA Institutional Repository. 6 indexed citations

14.

Kapur, Maia, et al.. (2018). Size composition for swordfish Xiphias gladius in the Hawaii-based pelagic longline fishery for 1995-2016.. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 2 indexed citations

15.

Winker, Henning, Felipe Carvalho, & Maia Kapur. (2018). JABBA: Just Another Bayesian Biomass Assessment. Fisheries Research. 204. 275–288. 93 indexed citations

16.

Carvalho, Felipe, et al.. (2018). Can the status of pelagic shark populations be determined using simple fishery indicators?. Biological Conservation. 228. 195–204. 13 indexed citations

17.

Taylor, Brett M., Simon J. Brandl, Maia Kapur, et al.. (2017). Bottom‐up processes mediated by social systems drive demographic traits of coral‐reef fishes. Ecology. 99(3). 642–651. 22 indexed citations

18.

Brodziak, Jon, et al.. (2017). An exploratory analysis of trends in swordfish (Xiphias gladius) length composition data from the Hawaiian longline fishery.. NOAA Institutional Repository. 1 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.

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