Samuel S. Urmy

413 total citations
17 papers, 301 citations indexed

About

Samuel S. Urmy is a scholar working on Ecology, Global and Planetary Change and Oceanography. According to data from OpenAlex, Samuel S. Urmy has authored 17 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 9 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Samuel S. Urmy's work include Marine animal studies overview (7 papers), Marine and fisheries research (7 papers) and Underwater Acoustics Research (5 papers). Samuel S. Urmy is often cited by papers focused on Marine animal studies overview (7 papers), Marine and fisheries research (7 papers) and Underwater Acoustics Research (5 papers). Samuel S. Urmy collaborates with scholars based in United States, Mexico and New Zealand. Samuel S. Urmy's co-authors include John K. Horne, Joseph D. Warren, Kelly J. Benoit‐Bird, Erin P. Overholt, Taylor H. Leach, Craig E. Williamson, S. Geoffrey Schladow, Sudeep Chandra, Steven Sadro and Patrick J. Neale and has published in prestigious journals such as Current Biology, Geophysical Research Letters and Ecology Letters.

In The Last Decade

Samuel S. Urmy

17 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel S. Urmy United States	10	156	150	129	56	45	17	301
Mette Dalgaard Agersted Denmark	10	204 1.3×	185 1.2×	216 1.7×	54 1.0×	66 1.5×	21	400
Paul D. van Ruth Australia	10	209 1.3×	179 1.2×	212 1.6×	57 1.0×	43 1.0×	19	396
Hubert du Pontavice France	10	228 1.5×	266 1.8×	148 1.1×	88 1.6×	22 0.5×	17	401
Mohamed Ramdani Morocco	7	121 0.8×	120 0.8×	109 0.8×	24 0.4×	11 0.2×	15	281
Sarah C. Crosby United States	9	383 2.5×	67 0.4×	96 0.7×	40 0.7×	93 2.1×	13	439
Kristina Øie Kvile Norway	12	187 1.2×	170 1.1×	197 1.5×	52 0.9×	63 1.4×	24	348
Omar Ettahiri Morocco	9	149 1.0×	234 1.6×	169 1.3×	34 0.6×	20 0.4×	35	390
Reuben G. Biel United States	8	195 1.3×	93 0.6×	38 0.3×	34 0.6×	31 0.7×	10	326
Chang-Ik Zhang South Korea	10	115 0.7×	193 1.3×	96 0.7×	54 1.0×	39 0.9×	40	325
John A. Gittings Greece	11	166 1.1×	169 1.1×	335 2.6×	15 0.3×	28 0.6×	19	425

Countries citing papers authored by Samuel S. Urmy

Since Specialization

Citations

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

Fields of papers citing papers by Samuel S. Urmy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel S. Urmy. 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 Samuel S. Urmy. The network helps show where Samuel S. Urmy may publish in the future.

Co-authorship network of co-authors of Samuel S. Urmy

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

All Works

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17 of 17 papers shown

Urmy, Samuel S., Alex De Robertis, & Christopher Bassett. (2023). A Bayesian inverse approach to identify and quantify organisms from fisheries acoustic data. ICES Journal of Marine Science. 81(7). 1461–1477. 3 indexed citations

Urmy, Samuel S., et al.. (2022). When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers. Ecology Letters. 25(5). 1323–1341. 4 indexed citations

Girón‐Nava, Alfredo, et al.. (2021). Positive Social-Ecological Feedbacks in Community-Based Conservation. Frontiers in Marine Science. 8. 16 indexed citations

Urmy, Samuel S. & Kelly J. Benoit‐Bird. (2021). Fear dynamically structures the ocean’s pelagic zone. Current Biology. 31(22). 5086–5092.e3. 27 indexed citations

Urmy, Samuel S. & Joseph D. Warren. (2020). Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes. Methods in Ecology and Evolution. 11(4). 559–569. 3 indexed citations

Zhang, Yanwu, Brian Kieft, Brett Hobson, et al.. (2020). Persistent Sampling of Vertically Migrating Biological Layers by an Autonomous Underwater Vehicle Within the Beam of a Seabed-Mounted Echosounder. IEEE Journal of Oceanic Engineering. 46(2). 497–508. 10 indexed citations

Urmy, Samuel S.. (2020). Visual trail following in colonial seabirds: theory, simulation, and remote observations. Ecological Monographs. 91(1). 6 indexed citations

Urmy, Samuel S., Kelly J. Benoit‐Bird, John P. Ryan, & John K. Horne. (2019). Mesopelagic predator-prey interactions revealed by joint passive and active acoustic observations. The Journal of the Acoustical Society of America. 146(4_Supplement). 2899–2899. 1 indexed citations

Urmy, Samuel S. & Joseph D. Warren. (2019). Seasonal changes in the biomass, distribution, and patchiness of zooplankton and fish in four lakes in the Sierra Nevada, California. Freshwater Biology. 64(10). 1692–1709. 5 indexed citations

10.

Urmy, Samuel S. & Joseph D. Warren. (2016). Quantitative ornithology with a commercial marine radar: standard‐target calibration, target detection and tracking, and measurement of echoes from individuals and flocks. Methods in Ecology and Evolution. 8(7). 860–869. 21 indexed citations

11.

Urmy, Samuel S., Craig E. Williamson, Taylor H. Leach, et al.. (2016). Vertical redistribution of zooplankton in an oligotrophic lake associated with reduction in ultraviolet radiation by wildfire smoke. Geophysical Research Letters. 43(8). 3746–3753. 27 indexed citations

12.

Urmy, Samuel S. & John K. Horne. (2016). Multi-scale responses of scattering layers to environmental variability in Monterey Bay, California. Deep Sea Research Part I Oceanographic Research Papers. 113. 22–32. 19 indexed citations

13.

Williamson, Craig E., Erin P. Overholt, Jennifer A. Brentrup, et al.. (2016). Sentinel responses to droughts, wildfires, and floods: effects of UV radiation on lakes and their ecosystem services. Frontiers in Ecology and the Environment. 14(2). 102–109. 62 indexed citations

14.

Parker‐Stetter, Sandra L., Samuel S. Urmy, John K. Horne, Lisa B. Eisner, & Edward V. Farley. (2016). Factors affecting summer distributions of Bering Sea forage fish species: Assessing competing hypotheses. Deep Sea Research Part II Topical Studies in Oceanography. 134. 255–269. 10 indexed citations

15.

Parker‐Stetter, Sandra L., John K. Horne, Samuel S. Urmy, et al.. (2015). Vertical Distribution of Age-0 Walleye Pollock during Late Summer: Environment or Ontogeny?. Marine and Coastal Fisheries. 7(1). 349–369. 10 indexed citations

16.

Urmy, Samuel S., et al.. (2012). Measuring the vertical distributional variability of pelagic fauna in Monterey Bay. ICES Journal of Marine Science. 69(2). 184–196. 71 indexed citations

17.

Horne, John K., et al.. (2010). Using sonar to describe temporal patterns of oceanic organisms from the MARS observatory. 1–7. 6 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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