Robert N. M. Ahrens

537 total citations
10 papers, 388 citations indexed

About

Robert N. M. Ahrens is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Robert N. M. Ahrens has authored 10 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 6 papers in Nature and Landscape Conservation and 4 papers in Ecology. Recurrent topics in Robert N. M. Ahrens's work include Marine and fisheries research (7 papers), Fish Ecology and Management Studies (4 papers) and Marine Bivalve and Aquaculture Studies (2 papers). Robert N. M. Ahrens is often cited by papers focused on Marine and fisheries research (7 papers), Fish Ecology and Management Studies (4 papers) and Marine Bivalve and Aquaculture Studies (2 papers). Robert N. M. Ahrens collaborates with scholars based in United States, Canada and Israel. Robert N. M. Ahrens's co-authors include Naama Menda, Evan Herbst, Ying Wang, Steven D. Tanksley, John Binns, Nicolas L. Taylor, Lukas A. Mueller, Chenwei Lin, Robert Buels and Mark H. Wright and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Biological Conservation.

In The Last Decade

Robert N. M. Ahrens

10 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert N. M. Ahrens United States 5 257 210 38 32 24 10 388
Sara Torre Italy 7 177 0.7× 193 0.9× 88 2.3× 27 0.8× 40 1.7× 13 354
Mayra Costa da Cruz Gallo de Carvalho Brazil 11 331 1.3× 275 1.3× 19 0.5× 18 0.6× 9 0.4× 20 450
Lenka Havlíčková United Kingdom 12 338 1.3× 209 1.0× 61 1.6× 20 0.6× 9 0.4× 21 448
Hyemin Lim South Korea 11 421 1.6× 201 1.0× 42 1.1× 25 0.8× 13 0.5× 42 518
Pascale Satour France 9 568 2.2× 197 0.9× 17 0.4× 24 0.8× 9 0.4× 15 635
Zhonghua Tu China 9 149 0.6× 186 0.9× 41 1.1× 8 0.3× 22 0.9× 30 280
Renhua Zheng China 10 206 0.8× 199 0.9× 39 1.0× 15 0.5× 31 1.3× 25 310
Mika Lännenpää Finland 9 261 1.0× 228 1.1× 45 1.2× 19 0.6× 9 0.4× 12 348
Cong‐Hua Feng China 12 541 2.1× 349 1.7× 17 0.4× 25 0.8× 10 0.4× 18 607
Amandine Radziejwoski Belgium 8 454 1.8× 283 1.3× 25 0.7× 37 1.2× 10 0.4× 9 505

Countries citing papers authored by Robert N. M. Ahrens

Since Specialization
Citations

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

Fields of papers citing papers by Robert N. M. Ahrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert N. M. Ahrens. 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 N. M. Ahrens. The network helps show where Robert N. M. Ahrens may publish in the future.

Co-authorship network of co-authors of Robert N. M. Ahrens

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

All Works

10 of 10 papers shown
1.
Harley, Shelton J., et al.. (2024). Potential of dynamic ocean management strategies for western Pacific leatherback sea turtle bycatch mitigation in New Zealand. Frontiers in Marine Science. 11. 2 indexed citations
2.
Ahrens, Robert N. M., et al.. (2024). A machine learning approach for protected species bycatch estimation. Frontiers in Marine Science. 11. 3 indexed citations
3.
Lorenzen, Kai, et al.. (2023). Global synthesis of effects and feedbacks from artificial reefs on socioecological systems in recreational fisheries. Fish and Fisheries. 25(2). 303–319. 6 indexed citations
4.
Ahrens, Robert N. M., et al.. (2023). Evaluation of a long-term information tool reveals continued suitability for identifying bycatch hotspots but little effect on fisher location choice. Biological Conservation. 279. 109912–109912. 3 indexed citations
5.
Eguchi, Tomoharu, et al.. (2020). Assessing the population level impacts of North Pacific Loggerhead and western Pacific Leatherback interactions in the Hawaii-based shallow set fishery. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 1 indexed citations
6.
Collins, Angela B., et al.. (2020). Fish Population Recruitment: What recruitment means and why it matters. SHILAP Revista de lepidopterología. 2020(2). 6–6. 7 indexed citations
7.
Carruthers, Thomas R., Murdoch K. McAllister, & Robert N. M. Ahrens. (2010). Simulating spatial dynamics to evaluate methods of deriving abundance indices for tropical tunas. Canadian Journal of Fisheries and Aquatic Sciences. 67(9). 1409–1427. 17 indexed citations
10.
Mueller, Lukas A., Nicolas L. Taylor, Robert Buels, et al.. (2005). The SOL Genomics Network. A Comparative Resource for Solanaceae Biology and Beyond. PLANT PHYSIOLOGY. 138(3). 1310–1317. 343 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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