Bharath Hariharan

42.9k total citations · 6 hit papers
46 papers, 5.9k citations indexed

About

Bharath Hariharan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Bharath Hariharan has authored 46 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 9 papers in Aerospace Engineering. Recurrent topics in Bharath Hariharan's work include Advanced Neural Network Applications (17 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Vision and Imaging (9 papers). Bharath Hariharan is often cited by papers focused on Advanced Neural Network Applications (17 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Vision and Imaging (9 papers). Bharath Hariharan collaborates with scholars based in United States, Israel and Colombia. Bharath Hariharan's co-authors include Ross Girshick, Jitendra Malik, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, Kilian Q. Weinberger, Yan Wang, Mark Campbell, Wei‐Lun Chao and C. Lawrence Zitnick and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cell Science and ACM Transactions on Graphics.

In The Last Decade

Bharath Hariharan

45 papers receiving 5.7k citations

Hit Papers

Semantic contours from inverse detectors 2011 2026 2016 2021 2011 2015 2017 2019 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bharath Hariharan United States 23 4.7k 2.3k 708 399 363 46 5.9k
Mathieu Salzmann Switzerland 41 4.3k 0.9× 2.0k 0.9× 665 0.9× 542 1.4× 599 1.7× 169 5.8k
Xiaodan Liang China 51 6.6k 1.4× 3.7k 1.6× 408 0.6× 455 1.1× 498 1.4× 239 8.7k
Longin Jan Latecki United States 43 5.4k 1.2× 1.5k 0.6× 638 0.9× 449 1.1× 696 1.9× 212 7.0k
Aleš Leonardis Slovenia 39 4.9k 1.0× 1.9k 0.8× 1.3k 1.8× 636 1.6× 307 0.8× 198 6.9k
Bryan Russell United States 21 4.1k 0.9× 1.1k 0.5× 674 1.0× 543 1.4× 251 0.7× 43 5.6k
Subhransu Maji United States 33 6.1k 1.3× 2.8k 1.2× 407 0.6× 773 1.9× 588 1.6× 85 8.1k
Dengxin Dai Switzerland 32 3.3k 0.7× 1.8k 0.8× 495 0.7× 822 2.1× 228 0.6× 91 4.8k
Zhaoxiang Zhang China 39 5.1k 1.1× 1.9k 0.8× 522 0.7× 428 1.1× 345 1.0× 230 6.5k
Wenguan Wang China 56 9.4k 2.0× 1.9k 0.8× 673 1.0× 1.1k 2.8× 275 0.8× 123 11.1k
Yanwei Fu China 38 4.8k 1.0× 2.8k 1.2× 394 0.6× 744 1.9× 376 1.0× 164 6.7k

Countries citing papers authored by Bharath Hariharan

Since Specialization
Citations

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

Fields of papers citing papers by Bharath Hariharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bharath Hariharan

This figure shows the co-authorship network connecting the top 25 collaborators of Bharath Hariharan. A scholar is included among the top collaborators of Bharath Hariharan 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 Bharath Hariharan. Bharath Hariharan 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.
Yang, Guandao, et al.. (2025). Accurate Differential Operators for Hybrid Neural Fields. 530–539. 1 indexed citations
2.
Tang, Luming, Nataniel Ruiz, Aleksander Holynski, et al.. (2024). RealFill: Reference-Driven Generation for Authentic Image Completion. ACM Transactions on Graphics. 43(4). 1–12. 13 indexed citations
3.
You, Yurong, et al.. (2024). Better Monocular 3D Detectors with LiDAR from the Past. 6634–6641. 1 indexed citations
4.
Hariharan, Bharath, et al.. (2020). A semi-automated machine learning-aided approach to quantitative analysis of centrosomes and microtubule organization. Journal of Cell Science. 133(14). 5 indexed citations
5.
Garg, Divyansh, Yan Wang, Bharath Hariharan, et al.. (2020). Wasserstein Distances for Stereo Disparity Estimation. Neural Information Processing Systems. 33. 22517–22529. 1 indexed citations
6.
Wang, Yan, Xiangyu Chen, Yurong You, et al.. (2020). Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. 11710–11720. 94 indexed citations
7.
Wang, Yan, Wei‐Lun Chao, Divyansh Garg, et al.. (2019). Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. 8437–8445. 701 indexed citations breakdown →
8.
Birman, Ken, Bharath Hariharan, & Christopher De. (2019). Cloud-Hosted Intelligence for Real-time IoT Applications. ACM SIGOPS Operating Systems Review. 53(1). 7–13. 4 indexed citations
9.
Pathak, Deepak, Ross Girshick, Piotr Dollár, Trevor Darrell, & Bharath Hariharan. (2017). Learning Features by Watching Objects Move. 6024–6033. 243 indexed citations
10.
Yadwadkar, Neeraja J., Bharath Hariharan, Joseph E. Gonzalez, & Randy H. Katz. (2016). Multi-task learning for straggler avoiding predictive job scheduling. Journal of Machine Learning Research. 17(1). 3692–3728. 41 indexed citations
11.
Hariharan, Bharath, Pablo Arbeláez, Ross Girshick, & Jitendra Malik. (2016). Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(4). 627–639. 77 indexed citations
12.
Malik, Jitendra, Pablo Arbeláez, João Carreira, et al.. (2016). The three R’s of computer vision: Recognition, reconstruction and reorganization. Pattern Recognition Letters. 72. 4–14. 22 indexed citations
13.
Hariharan, Bharath. (2015). Beyond Bounding Boxes: Precise Localization of Objects in Images. eScholarship (California Digital Library). 2 indexed citations
14.
Gkioxari, Georgia, Bharath Hariharan, Ross Girshick, & Jitendra Malik. (2014). Using k-Poselets for Detecting People and Localizing Their Keypoints. 3582–3589. 93 indexed citations
15.
Arbeláez, Pablo, Bharath Hariharan, Chunhui Gu, et al.. (2012). Semantic segmentation using regions and parts. 3378–3385. 171 indexed citations
16.
Hariharan, Bharath, S. V. N. Vishwanathan, & Manik Varma. (2012). Efficient max-margin multi-label classification with applications to zero-shot learning. Machine Learning. 88(1-2). 127–155. 39 indexed citations
17.
Hariharan, Bharath, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, & Jitendra Malik. (2011). Semantic contours from inverse detectors. 991–998. 944 indexed citations breakdown →
18.
Hariharan, Bharath, Lihi Zelnik‐Manor, Manik Varma, & S. V. N. Vishwanathan. (2010). Large Scale Max-Margin Multi-Label Classification with Priors. International Conference on Machine Learning. 423–430. 93 indexed citations
19.
Hariharan, Bharath, et al.. (2004). Translation: A Cultural Slide Show. 1(2).
20.
Aluru, Srinivas, et al.. (2002). Efficient parallel algorithms for solvent accessible surface area of proteins. IEEE Transactions on Parallel and Distributed Systems. 13(6). 544–555. 14 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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