Bradley P. Harris

817 total citations
50 papers, 494 citations indexed

About

Bradley P. Harris is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Bradley P. Harris has authored 50 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 26 papers in Ecology and 12 papers in Nature and Landscape Conservation. Recurrent topics in Bradley P. Harris's work include Marine and fisheries research (29 papers), Marine Bivalve and Aquaculture Studies (14 papers) and Fish Ecology and Management Studies (12 papers). Bradley P. Harris is often cited by papers focused on Marine and fisheries research (29 papers), Marine Bivalve and Aquaculture Studies (14 papers) and Fish Ecology and Management Studies (12 papers). Bradley P. Harris collaborates with scholars based in United States, United Kingdom and China. Bradley P. Harris's co-authors include Kevin D. E. Stokesbury, Andrew T. Metters, Karen J. L. Burg, Jaishankar K. Kutty, Nathan Wolf, Charles Francis Adams, Suresh A. Sethi, Geoffrey W. Cowles, Qichun Xu and Jonathan H. Grabowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Macromolecules and Langmuir.

In The Last Decade

Bradley P. Harris

41 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bradley P. Harris United States	12	269	178	107	102	79	50	494
Isla Fitridge Australia	9	453 1.7×	189 1.1×	140 1.3×	82 0.8×	33 0.4×	11	786
Kent M. Berntsson Sweden	9	190 0.7×	150 0.8×	215 2.0×	123 1.2×	35 0.4×	12	606
J. Douglas McKenzie United Kingdom	19	241 0.9×	247 1.4×	285 2.7×	15 0.1×	25 0.3×	37	839
Mary R. Carman United States	8	369 1.4×	139 0.8×	167 1.6×	56 0.5×	6 0.1×	14	543
Jay Willis United Kingdom	12	216 0.8×	345 1.9×	80 0.7×	16 0.2×	136 1.7×	18	561
A. B. Yule United Kingdom	19	333 1.2×	462 2.6×	451 4.2×	198 1.9×	107 1.4×	33	1.2k
Brian T. Nedved United States	14	347 1.3×	205 1.2×	308 2.9×	170 1.7×	14 0.2×	24	959
Benjamin Dubansky United States	10	105 0.4×	163 0.9×	67 0.6×	92 0.9×	99 1.3×	23	643
Jürgen Weissenberger Germany	8	67 0.2×	190 1.1×	156 1.5×	10 0.1×	50 0.6×	14	515
T. Itoh Japan	18	521 1.9×	288 1.6×	25 0.2×	10 0.1×	370 4.7×	67	981

Countries citing papers authored by Bradley P. Harris

Since Specialization

Citations

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

Fields of papers citing papers by Bradley P. Harris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley P. Harris. 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 Bradley P. Harris. The network helps show where Bradley P. Harris may publish in the future.

Co-authorship network of co-authors of Bradley P. Harris

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

All Works

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20 of 20 papers shown

Zhou, Mu, et al.. (2026). Individual identification of brown bears using pose-aware metric learning. Current Biology. 36(3). 645–659.e14.

Stewart, Ian J., et al.. (2025). Exploring Spatial and Temporal Patterns in the Size‐At‐Age of Pacific Halibut in the Gulf of Alaska. Fisheries Management and Ecology. 32(6). 430–439.

Stokesbury, Kevin D. E., et al.. (2024). Anticipating the winds of change: A baseline assessment of Northeastern US continental shelf surficial substrates. Fisheries Oceanography. 35(1). 22–32.

Wolf, Nathan, et al.. (2024). Stable isotopes, morphology, and body condition metrics suggest similarity in the trophic level and diversity in the carbon sources of freshwater and early marine diets of Chinook salmon. Marine Biology. 171(4). 2 indexed citations

Baker, M. R., Robert Alverson, Keith R. Criddle, et al.. (2023). Mechanisms and models for industry engagement in collaborative research in commercial fisheries. Frontiers in Marine Science. 10. 5 indexed citations

Gruenthal, Kristen M., et al.. (2023). High Spatiotemporal Genetic Connectivity in the Pacific Razor Clam (Siliqua patula) throughout Cook Inlet, Alaska. Journal of Shellfish Research. 42(3). 1 indexed citations

Sethi, Suresh A., et al.. (2022). Juvenile salmon habitat use drives variation in growth and highlights vulnerability to river fragmentation. Ecosphere. 13(8). 7 indexed citations

Murphy, Robert, et al.. (2021). Can Landsat Thermal Imagery and Environmental Data Accurately Estimate Water Temperatures in Small Streams?. Journal of Fish and Wildlife Management. 12(1). 12–26. 7 indexed citations

Loher, Timothy, et al.. (2021). Estimation of Postrelease Longline Mortality in Pacific Halibut Using Acceleration-Logging Tags. North American Journal of Fisheries Management. 42(1). 37–49. 3 indexed citations

10.

Murphy, Robert, et al.. (2021). Using mental models to quantify linear and non-linear relationships in complex fishery systems. Marine Policy. 132. 104695–104695. 5 indexed citations

11.

Murphy, Robert, et al.. (2020). Capturing stakeholder perspectives through a collaboration with a commercial fishing cooperative. Marine Policy. 117. 103948–103948. 4 indexed citations

12.

Moriarty, Meadhbh, Suresh A. Sethi, Debbi Pedreschi, et al.. (2019). Combining fisheries surveys to inform marine species distribution modelling. ICES Journal of Marine Science. 77(2). 539–552. 23 indexed citations

13.

Wolf, Nathan, et al.. (2019). Exploring sample cross‐contamination in fish epidermal mucus. Journal of Fish Biology. 95(2). 647–650. 2 indexed citations

14.

McGonigle, Chris, et al.. (2018). Dynamic occupancy modeling of temperate marine fish in area‐based closures. Ecology and Evolution. 8(20). 10192–10205. 2 indexed citations

15.

Harris, Bradley P., Charles Francis Adams, & Kevin D. E. Stokesbury. (2018). Sea scallops exhibit strong local spatiotemporal structure associated with seabed stability and high flows. Ecosphere. 9(3). 11 indexed citations

16.

Harris, Bradley P., et al.. (2016). Ballast-borne marine invasive species: exploring the risk to coastal Alaska, USA. Management of Biological Invasions. 7(2). 199–211. 16 indexed citations

17.

McGuire, Chad J. & Bradley P. Harris. (2012). Systems Thinking Applied to U.S. Federal Fisheries Management. 26(3). 2 indexed citations

18.

Jacobson, Larry D., Kevin D. E. Stokesbury, Antonie S. Chute, et al.. (2010). Measurement errors in body size of sea scallops (Placopecten magellanicus) and their effect on stock assessment models. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 9 indexed citations

19.

McGuire, Chad J. & Bradley P. Harris. (2008). Rights-Based Fisheries and Ecosystem-Based Management: Maybe Scientists and Fishermen Know the Way?. 12(1). 1 indexed citations

20.

Harris, Bradley P., et al.. (2006). Photopatterned Polymer Brushes Promoting Cell Adhesion Gradients. Langmuir. 22(10). 4467–4471. 90 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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