Deepak Pathak

1.5k total citations · 2 hit papers
29 papers, 663 citations indexed

About

Deepak Pathak is a scholar working on Plant Science, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deepak Pathak has authored 29 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Molecular Biology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deepak Pathak's work include Bacterial Genetics and Biotechnology (4 papers), Smart Agriculture and AI (4 papers) and Bacteriophages and microbial interactions (3 papers). Deepak Pathak is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Smart Agriculture and AI (4 papers) and Bacteriophages and microbial interactions (3 papers). Deepak Pathak collaborates with scholars based in South Korea, United States and Germany. Deepak Pathak's co-authors include Philipp Krähenbühl, Trevor Darrell, Shikhar Bahl, Xuxin Cheng, Abhinav Gupta, Kenneth Shaw, Eunju Kwon, Dong Young Kim, Hyun Suk Jung and Andreas Dengel and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Biochemical and Biophysical Research Communications.

In The Last Decade

Deepak Pathak

29 papers receiving 639 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.

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

2015 351 citations Deepak Pathak, Philipp Krähenbühl et al. profile →
Extreme Parkour with Legged Robots

2024 63 citations Xuxin Cheng, Deepak Pathak et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Pathak South Korea	10	345	209	104	74	55	29	663
Rongshan Chen China	13	350 1.0×	76 0.4×	45 0.4×	52 0.7×	62 1.1×	39	836
Borui Zhao China	9	360 1.0×	358 1.7×	35 0.3×	49 0.7×	36 0.7×	19	845
Geoff Nitschke South Africa	10	163 0.5×	299 1.4×	56 0.5×	45 0.6×	23 0.4×	74	724
Amal H. Alharbi Saudi Arabia	11	142 0.4×	174 0.8×	36 0.3×	28 0.4×	70 1.3×	45	593
Shaoli Huang China	17	972 2.8×	557 2.7×	73 0.7×	57 0.8×	22 0.4×	54	1.2k
Hui Zeng China	15	360 1.0×	74 0.4×	51 0.5×	59 0.8×	28 0.5×	119	874
Chuanxing Geng China	5	191 0.6×	392 1.9×	54 0.5×	42 0.6×	19 0.3×	12	619
Sourav Mishra India	7	127 0.4×	150 0.7×	23 0.2×	43 0.6×	26 0.5×	21	534
Huan Ling China	12	740 2.1×	209 1.0×	45 0.4×	53 0.7×	20 0.4×	33	1.1k
Ning Xie China	15	574 1.7×	246 1.2×	23 0.2×	29 0.4×	24 0.4×	63	846

Countries citing papers authored by Deepak Pathak

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Pathak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Pathak

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pathak, Deepak, et al.. (2025). Intrinsic explainability of multimodal learning for crop yield simulation. Computers and Electronics in Agriculture. 239. 111003–111003. 1 indexed citations

2.

Cheng, Xuxin, et al.. (2024). Extreme Parkour with Legged Robots. 11443–11450. 63 indexed citations breakdown →

3.

Shaw, Kenneth, et al.. (2024). Demonstrating Learning from Humans on Open-Source Dexterous Robot Hands. 1 indexed citations

4.

Mena, Francisco, Deepak Pathak, Patrick Helber, et al.. (2024). Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction. Remote Sensing of Environment. 318. 114547–114547. 21 indexed citations

5.

Lin, Zhiqiu, Deepak Pathak, Kewen Wu, et al.. (2024). Evaluating and Improving Compositional Text-to-Visual Generation. 5290–5301. 9 indexed citations

6.

Xiong, Haoyu, et al.. (2024). SPIN: Simultaneous Perception, Interaction and Navigation. 18133–18142. 3 indexed citations

7.

Liu, Shihong, et al.. (2024). Language Models as Black-Box Optimizers for Vision-Language Models. 12687–12697. 7 indexed citations

8.

Helber, Patrick, Benjamin Bischke, Deepak Pathak, et al.. (2023). Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. 2763–2766. 9 indexed citations

9.

Pathak, Deepak, et al.. (2023). Crystal structure of Bacillus subtilis glyceraldehyde-3-phosphate dehydrogenase GapB. 11(4). 59–65. 2 indexed citations

10.

Pathak, Deepak, et al.. (2023). Crystallization and X-ray crystallographic analysis of the extracytoplasmic domain of the sensor histidine kinase CssS from Bacillus subtilis. 11(4). 70–73. 1 indexed citations

11.

Helber, Patrick, Benjamin Bischke, Francisco Mena, et al.. (2023). Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. 5014–5017. 5 indexed citations

12.

Kwon, Eunju, et al.. (2022). Structural analysis of the regulation of blue-light receptors by GIGANTEA. Cell Reports. 39(3). 110700–110700. 12 indexed citations

13.

Kwon, Eunju, et al.. (2022). Crystal structure of a tandem B-box domain from Arabidopsis CONSTANS. Biochemical and Biophysical Research Communications. 599. 38–42. 3 indexed citations

14.

Bahl, Shikhar, Abhinav Gupta, & Deepak Pathak. (2022). Human-to-Robot Imitation in the Wild. 43 indexed citations

15.

Kim, Youngmi, Deepak Pathak, Eunju Kwon, et al.. (2021). The CAGE–MiR-181b-5p–S1PR1 Axis Regulates Anticancer Drug Resistance and Autophagy in Gastric Cancer Cells. Frontiers in Cell and Developmental Biology. 9. 666387–666387. 26 indexed citations

16.

Pathak, Deepak, Eunju Kwon, & Dong Young Kim. (2020). Selective interactions between mimivirus uracil-DNA glycosylase and inhibitory proteins determined by a single amino acid. Journal of Structural Biology. 211(3). 107552–107552. 1 indexed citations

17.

Kwon, Eunju, Deepak Pathak, Sung Chul Ha, et al.. (2019). Structural insights into stressosome assembly. IUCrJ. 6(5). 938–947. 11 indexed citations

18.

Kwon, Eunju, et al.. (2019). Structural analysis of the recognition of the -35 promoter element by SigW from Bacillus subtilis. PLoS ONE. 14(8). e0221666–e0221666. 5 indexed citations

19.

Kwon, Eunju, Deepak Pathak, Hyeun Wook Chang, & Dong Young Kim. (2017). Crystal structure of mimivirus uracil-DNA glycosylase. PLoS ONE. 12(8). e0182382–e0182382. 6 indexed citations

20.

Pathak, Deepak, Philipp Krähenbühl, & Trevor Darrell. (2015). Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. 1796–1804. 351 indexed citations breakdown →

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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