Ken Yoda

2.9k total citations
99 papers, 1.8k citations indexed

About

Ken Yoda is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Ken Yoda has authored 99 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Ecology, 36 papers in Ecology, Evolution, Behavior and Systematics and 23 papers in Nature and Landscape Conservation. Recurrent topics in Ken Yoda's work include Avian ecology and behavior (52 papers), Marine animal studies overview (29 papers) and Animal Behavior and Reproduction (23 papers). Ken Yoda is often cited by papers focused on Avian ecology and behavior (52 papers), Marine animal studies overview (29 papers) and Animal Behavior and Reproduction (23 papers). Ken Yoda collaborates with scholars based in Japan, France and Argentina. Ken Yoda's co-authors include Katsufumi Sato, Yasuhiko Naito, Yasuaki Niizuma, Yan Ropert‐Coudert, Hiroyoshi Kohno, Masakazu Kurita, Yvon Le Maho, Akinori Takahashi, Naoki Tomita and Sakiko Matsumoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ken Yoda

92 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Yoda Japan 22 1.3k 510 348 298 228 99 1.8k
Nikolai Liebsch United Kingdom 16 1.5k 1.2× 592 1.2× 360 1.0× 779 2.6× 192 0.8× 25 2.1k
André Ancel France 26 1.3k 1.0× 770 1.5× 297 0.9× 189 0.6× 103 0.5× 59 2.0k
RP Wilson United Kingdom 27 1.7k 1.4× 584 1.1× 602 1.7× 727 2.4× 162 0.7× 41 2.1k
Yasuaki Niizuma Japan 19 1.2k 0.9× 463 0.9× 334 1.0× 397 1.3× 64 0.3× 90 1.5k
Todd E. Dennis New Zealand 20 904 0.7× 214 0.4× 235 0.7× 226 0.8× 215 0.9× 44 1.3k
Janet R. D. Silk United Kingdom 14 1.7k 1.3× 439 0.9× 489 1.4× 307 1.0× 65 0.3× 15 1.9k
André Chiaradia Australia 31 1.8k 1.4× 500 1.0× 794 2.3× 337 1.1× 108 0.5× 74 2.2k
Markus Horning United States 25 1.9k 1.5× 467 0.9× 448 1.3× 514 1.7× 132 0.6× 69 2.3k
Charles‐André Bost France 31 2.2k 1.7× 458 0.9× 828 2.4× 476 1.6× 113 0.5× 72 2.5k
David Thompson United Kingdom 30 2.0k 1.6× 312 0.6× 648 1.9× 413 1.4× 280 1.2× 79 2.4k

Countries citing papers authored by Ken Yoda

Since Specialization
Citations

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

Fields of papers citing papers by Ken Yoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Yoda

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

All Works

20 of 20 papers shown
1.
Sato, Katsufumi, Takuji Noda, Takuya Koizumi, et al.. (2025). Biologging intelligent Platform (BiP): an integrated and standardized platform for sharing, visualizing, and analyzing biologging data. Movement Ecology. 13(1). 23–23. 2 indexed citations
2.
Asakawa, Shuichi, et al.. (2024). Three‐Dimensional Vascular Structure of Caudal and Dorsal Fins of a Dwarf Sperm Whale. Ecology and Evolution. 14(12). e70727–e70727.
3.
Goto, Yusuke, et al.. (2024). Hidden rivals: the negative impacts of dolphinfish on seabird foraging behaviour. Biology Letters. 20(8). 20240223–20240223. 1 indexed citations
4.
Yoda, Ken, et al.. (2024). Exploring deep learning techniques for wild animal behaviour classification using animal‐borne accelerometers. Methods in Ecology and Evolution. 15(4). 716–731. 14 indexed citations
5.
Goto, Yusuke, et al.. (2024). Albatrosses employ orientation and routing strategies similar to yacht racers. Proceedings of the National Academy of Sciences. 121(23). e2312851121–e2312851121. 3 indexed citations
6.
Matsumoto, Sakiko, et al.. (2024). Interannual linkages between oceanographic condition, seabird behaviour and chick growth from a decadal biologging study. Animal Behaviour. 209. 63–81. 1 indexed citations
7.
8.
Yoda, Ken, et al.. (2023). Automatic recording of rare behaviors of wild animals using video bio-loggers with on-board light-weight outlier detector. PNAS Nexus. 3(1). pgad447–pgad447. 7 indexed citations
9.
Goto, Yusuke, Ken Yoda, Henri Weimerskirch, & Katsufumi Sato. (2022). How did extinct giant birds and pterosaurs fly? A comprehensive modeling approach to evaluate soaring performance. PNAS Nexus. 1(1). 8 indexed citations
10.
Gómez‐Laich, Agustina, Rory P. Wilson, Walter S. Svagelj, et al.. (2021). Leg rings impact the diving performance of a foot‐propelled diver. Ibis. 164(1). 118–131. 2 indexed citations
11.
12.
Abe, Kazuki, et al.. (2021). Development of Data Logger Separator for Bio-Logging of Wild Seabirds. Journal of Robotics and Mechatronics. 33(3). 446–456.
13.
Maekawa, Takuya, Yizhe Zhang, Sakiko Matsumoto, et al.. (2020). Deep learning-assisted comparative analysis of animal trajectories with DeepHL. Nature Communications. 11(1). 5316–5316. 33 indexed citations
14.
Suzuki, Hirokazu, Sakiko Matsumoto, Masaki Samejima, et al.. (2020). Machine learning enables improved runtime and precision for bio-loggers on seabirds. Communications Biology. 3(1). 633–633. 35 indexed citations
15.
Kohno, Hiroyoshi, et al.. (2019). Movements and activity characteristics of the Brown Booby Sula leucogaster during the non-breeding period. Marine ornithology. 47(2). 4 indexed citations
16.
Hashimoto, Koichi, et al.. (2019). Context-based semantical vector representations for animal trajectories. Advanced Robotics. 33(3-4). 118–133. 1 indexed citations
17.
18.
Müller, Martina S., Alexei L. Vyssotski, Maki Yamamoto, & Ken Yoda. (2017). Heart rate variability reveals that a decrease in parasympathetic (‘rest-and-digest’) activity dominates autonomic stress responses in a free-living seabird. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 212. 117–126. 18 indexed citations
19.
Shirai, Masaki, et al.. (2014). Predation by Feral Cat on Streaked Shearwater chicks on Awashima. Japanese Journal of Ornithology. 63(1). 75–78. 7 indexed citations
20.
Takahashi, Akinori & Ken Yoda. (2010). Advances in biologging science: a review of bird studies. Japanese Journal of Ornithology. 59(1). 3–19. 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.

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