Hemal Naik

887 total citations · 1 hit paper
12 papers, 451 citations indexed

About

Hemal Naik is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hemal Naik has authored 12 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hemal Naik's work include Robotics and Sensor-Based Localization (6 papers), Augmented Reality Applications (4 papers) and Advanced Vision and Imaging (3 papers). Hemal Naik is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Augmented Reality Applications (4 papers) and Advanced Vision and Imaging (3 papers). Hemal Naik collaborates with scholars based in Germany, United States and Hungary. Hemal Naik's co-authors include Iain D. Couzin, Liang Li, Daniel H. Chae, Benjamin Koger, Jacob M. Graving, Blair R. Costelloe, Fumihiro Kano, Nassir Navab, Máté Nagy and Renaud Bastien and has published in prestigious journals such as Scientific Reports, Science Advances and Animal Behaviour.

In The Last Decade

Hemal Naik

12 papers receiving 445 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

Hemal Naik

CVPR

EEBS

CB

SP

CN

Benjamin Koger Germany

Daniel H. Chae Australia

Jessy Lauer Portugal

Steffen Schneider Germany

Jacob M. Graving Germany

Shaokai Ye United States

Blair R. Costelloe United States

Lindsay Willmore United States

Francisco J. H. Heras United Kingdom

Diego Aldarondo United States

Benjamin Koger Germany

Hemal Naik

103 ×0.8

CVPR

87 ×1.0

EEBS

68 ×0.9

CB

61 ×0.9

SP

51 ×0.8

CN

Citations per year, relative to Hemal Naik Hemal Naik (= 1×) peers Benjamin Koger

Countries citing papers authored by Hemal Naik

Since Specialization

Citations

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

Fields of papers citing papers by Hemal Naik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hemal Naik

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

All Works

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12 of 12 papers shown

1.

Naik, Hemal, et al.. (2025). Advancing animal behaviour research using drone technology. Animal Behaviour. 222. 123147–123147. 6 indexed citations

2.

Naik, Hemal, Máté Nagy, Iain D. Couzin, et al.. (2024). 3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking. International Journal of Computer Vision. 132(10). 4235–4252. 8 indexed citations

3.

Nagy, Máté, Hemal Naik, Fumihiro Kano, et al.. (2023). SMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers. Science Advances. 9(35). eadf8068–eadf8068. 17 indexed citations

4.

Naik, Hemal, et al.. (2023). 3D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds with Marker-Based Motion Capture. 21274–21284. 14 indexed citations

5.

Kano, Fumihiro, et al.. (2022). Head-tracking of freely-behaving pigeons in a motion-capture system reveals the selective use of visual field regions. Scientific Reports. 12(1). 19113–19113. 16 indexed citations

6.

Naik, Hemal, Renaud Bastien, Nassir Navab, & Iain D. Couzin. (2020). Animals in Virtual Environments. IEEE Transactions on Visualization and Computer Graphics. 26(5). 2073–2083. 29 indexed citations

7.

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 →

8.

Naik, Hemal, et al.. (2016). Frustration Free Pose Computation For Spatial AR Devices in Industrial Scenario. 121–122. 1 indexed citations

9.

Naik, Hemal, et al.. (2015). On-Site Semi-Automatic Calibration and Registration of a Projector-Camera System Using Arbitrary Objects with Known Geometry. IEEE Transactions on Visualization and Computer Graphics. 21(11). 1211–1220. 18 indexed citations

10.

Naik, Hemal, et al.. (2015). [POSTER] Exploiting Photogrammetric Targets for Industrial AR. 144–147. 1 indexed citations

11.

Naik, Hemal, et al.. (2015). [POSTER] A Step Closer To Reality: Closed Loop Dynamic Registration Correction in SAR. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 112–115. 3 indexed citations

12.

Chen, Xin, Hemal Naik, Lejing Wang, Nassir Navab, & Pascal Fallavollita. (2014). Video-guided calibration of an augmented reality mobile C-arm. International Journal of Computer Assisted Radiology and Surgery. 9(6). 987–996. 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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