Jacob M. Graving

1.2k total citations · 1 hit paper
9 papers, 656 citations indexed

About

Jacob M. Graving is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jacob M. Graving has authored 9 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jacob M. Graving's work include Animal Behavior and Reproduction (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Neurobiology and Insect Physiology Research (3 papers). Jacob M. Graving is often cited by papers focused on Animal Behavior and Reproduction (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Neurobiology and Insect Physiology Research (3 papers). Jacob M. Graving collaborates with scholars based in Germany, United States and Denmark. Jacob M. Graving's co-authors include Iain D. Couzin, Liang Li, Benjamin Koger, Blair R. Costelloe, Daniel H. Chae, Hemal Naik, Máté Nagy, Joseph B. Bak-Coleman, Guangming Xie and Verner P. Bingman and has published in prestigious journals such as Science, Nature Communications and Journal of Animal Ecology.

In The Last Decade

Jacob M. Graving

9 papers receiving 643 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

2019 332 citations Jacob M. Graving, Daniel H. Chae et al. eLife profile →

Peers

Jacob M. Graving

EEBS

AE

CVPR

ECOLO

GENET

Blair R. Costelloe United States

John R. Stowers New Zealand

Hemal Naik Germany

Benjamin Risse Germany

Hai Nguyen United States

Sachit Butail United States

Benjamin Koger Germany

Nicole Abaid United States

Ivo G. Ros United States

Blair R. Costelloe United States

Jacob M. Graving

133 ×0.9

EEBS

50 ×0.4

AE

177 ×1.6

CVPR

240 ×2.2

ECOLO

72 ×0.8

GENET

Citations per year, relative to Jacob M. Graving Jacob M. Graving (= 1×) peers Blair R. Costelloe

Countries citing papers authored by Jacob M. Graving

Since Specialization

Citations

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

Fields of papers citing papers by Jacob M. Graving

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob M. Graving. 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 Jacob M. Graving. The network helps show where Jacob M. Graving may publish in the future.

Co-authorship network of co-authors of Jacob M. Graving

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

All Works

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9 of 9 papers shown

1.

Couzin-Fuchs, Einat, Chi-Yu Lee, Jacob M. Graving, et al.. (2025). The behavioral mechanisms governing collective motion in swarming locusts. Science. 387(6737). 995–1000. 7 indexed citations

2.

Koger, Benjamin, et al.. (2023). Quantifying the movement, behaviour and environmental context of group‐living animals using drones and computer vision. Journal of Animal Ecology. 92(7). 1357–1371. 57 indexed citations

3.

Li, Liang, Máté Nagy, Jacob M. Graving, et al.. (2020). Vortex phase matching as a strategy for schooling in robots and in fish. Nature Communications. 11(1). 5408–5408. 151 indexed citations

4.

Graving, Jacob M., Daniel H. Chae, Hemal Naik, et al.. (2019). DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning. eLife. 8. 332 indexed citations breakdown →

5.

Alarcón‐Nieto, Gustavo, et al.. (2018). An automated barcode tracking system for behavioural studies in birds. Methods in Ecology and Evolution. 9(6). 1536–1547. 59 indexed citations

6.

Graving, Jacob M., Verner P. Bingman, Eileen A. Hebets, & Daniel D. Wiegmann. (2017). Development of site fidelity in the nocturnal amblypygid, Phrynus marginemaculatus. Journal of Comparative Physiology A. 203(5). 313–328. 6 indexed citations

7.

Wiegmann, Daniel D., Eileen A. Hebets, Wulfila Gronenberg, Jacob M. Graving, & Verner P. Bingman. (2016). Amblypygids: Model Organisms for the Study of Arthropod Navigation Mechanisms in Complex Environments?. Frontiers in Behavioral Neuroscience. 10. 47–47. 21 indexed citations

8.

Bingman, Verner P., Jacob M. Graving, Eileen A. Hebets, & Daniel D. Wiegmann. (2016). Importance of the antenniform legs, but not vision, for homing by the neotropical whip spider,Paraphrynus laevifrons. Journal of Experimental Biology. 220(Pt 5). 885–890. 22 indexed citations

9.

Graving, Jacob M.. (2016). POSE: Python Open Source Ethology Tracker v0.1.1-beta (September 2016). Zenodo (CERN European Organization for Nuclear Research). 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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