Ankur Handa

5.1k total citations · 2 hit papers
31 papers, 2.3k citations indexed

About

Ankur Handa is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Ankur Handa has authored 31 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Control and Systems Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Ankur Handa's work include Robot Manipulation and Learning (10 papers), Robotics and Sensor-Based Localization (9 papers) and Advanced Vision and Imaging (7 papers). Ankur Handa is often cited by papers focused on Robot Manipulation and Learning (10 papers), Robotics and Sensor-Based Localization (9 papers) and Advanced Vision and Imaging (7 papers). Ankur Handa collaborates with scholars based in United Kingdom, United States and India. Ankur Handa's co-authors include Andrew J. Davison, Stefan Leutenegger, John McCormac, John McDonald, Thomas J. Whelan, Roberto Cipolla, Dieter Fox, Simon Stent, Viorica Pătrăucean and Vijay Badrinarayanan and has published in prestigious journals such as IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters and Journal of cardiovascular computed tomography.

In The Last Decade

Ankur Handa

26 papers receiving 2.1k citations

Hit Papers

A benchmark for RGB-D visual odometry, 3D reconstruction ... 2014 2026 2018 2022 2014 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankur Handa United Kingdom 18 1.5k 1.1k 475 462 233 31 2.3k
Jörg Stückler Germany 25 1.7k 1.2× 1.4k 1.3× 471 1.0× 415 0.9× 136 0.6× 65 2.4k
Todor Stoyanov Sweden 24 743 0.5× 858 0.8× 317 0.7× 329 0.7× 126 0.5× 78 1.6k
Armin Hornung Germany 14 1.7k 1.1× 1.7k 1.6× 349 0.7× 461 1.0× 163 0.7× 18 2.4k
Richard Newcombe United States 13 1.6k 1.1× 920 0.9× 463 1.0× 255 0.6× 70 0.3× 29 2.1k
Eijiro Takeuchi Japan 23 1.1k 0.7× 993 0.9× 223 0.5× 398 0.9× 185 0.8× 98 2.2k
Peter Henry United States 11 1.9k 1.3× 1.2k 1.1× 494 1.0× 159 0.3× 127 0.5× 11 2.4k
Slobodan Ilić Germany 26 2.5k 1.7× 1.7k 1.6× 674 1.4× 922 2.0× 132 0.6× 96 3.4k
Hartmut Surmann Germany 23 1.3k 0.9× 1.4k 1.3× 464 1.0× 275 0.6× 301 1.3× 55 2.2k
Javier Civera Spain 27 2.6k 1.8× 2.5k 2.3× 577 1.2× 522 1.1× 358 1.5× 77 3.7k
Victor Adrian Prisacariu United Kingdom 25 1.4k 1.0× 853 0.8× 352 0.7× 109 0.2× 148 0.6× 57 1.8k

Countries citing papers authored by Ankur Handa

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Handa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Handa

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Handa. A scholar is included among the top collaborators of Ankur Handa 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 Ankur Handa. Ankur Handa 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.
Wyk, Karl Van, et al.. (2025). Synthetica: Large Scale Synthetic Data Generation for Robot Perception. 7810–7817. 1 indexed citations
2.
Handa, Ankur, Sudip Kumar Datta, Sandeep Seth, et al.. (2025). Dapagliflozin in pediatric heart failure with reduced ejection fraction – A randomized pilot study. Annals of Pediatric Cardiology. 18(4). 323–330.
3.
Lu, Yao, Zipeng Fu, Yunfeng Wu, et al.. (2025). CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. 1702–1713. 5 indexed citations
4.
Handa, Ankur, et al.. (2025). A cardiac sodium channelopathy overlap syndrome presenting as stroke in a young child. HeartRhythm Case Reports. 12(2). 201–205.
5.
Wen, Bowen, Ankur Handa, Chad C. Kessens, et al.. (2025). FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation Under Uncertainty. IEEE Robotics and Automation Letters. 10(5). 4436–4443. 3 indexed citations
6.
Xu, Jie, Bowen Wen, Ankur Handa, et al.. (2024). AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries. 6 indexed citations
7.
Handa, Ankur, et al.. (2023). IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality. 23 indexed citations
9.
Allshire, Arthur, Viktor Makoviychuk, Manuel Wüthrich, et al.. (2022). Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11802–11809. 27 indexed citations
10.
Ojha, Vineeta, et al.. (2022). Proximal tubular aortopulmonary window in an adult - A diagnostic dilemma solved by cardiac computed tomographic angiography. Journal of cardiovascular computed tomography. 16(5). e40–e41.
11.
Chao, Yu-Wei, Wei Yang, Xiang Yu, et al.. (2021). DexYCB: A Benchmark for Capturing Hand Grasping of Objects. 9040–9049. 148 indexed citations
12.
Handa, Ankur, et al.. (2020). Information Theoretic Model Predictive Q-Learning. 840–850. 1 indexed citations
13.
Handa, Ankur, Karl Van Wyk, Jacky Liang, et al.. (2020). DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System. 9164–9170. 123 indexed citations
14.
Liang, Jacky, Ankur Handa, Karl Van Wyk, et al.. (2020). In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation. 6203–6209. 21 indexed citations
15.
McCormac, John, Ankur Handa, Stefan Leutenegger, & Andrew J. Davison. (2017). SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?. Spiral (Imperial College London). 2697–2706. 157 indexed citations
16.
Johns, Edward, et al.. (2017). Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery. 27–28. 69 indexed citations
17.
Handa, Ankur, Viorica Pătrăucean, Simon Stent, & Roberto Cipolla. (2016). SceneNet: An annotated model generator for indoor scene understanding. 5737–5743. 63 indexed citations
18.
Badrinarayanan, Vijay, Ankur Handa, & Roberto Cipolla. (2015). SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling. arXiv (Cornell University). 46 indexed citations
19.
Handa, Ankur, Thomas J. Whelan, John McDonald, & Andrew J. Davison. (2014). A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM. Maynooth University ePrints and eTheses Archive (Maynooth University). 1524–1531. 579 indexed citations breakdown →
20.
Kim, Hanme, et al.. (2014). Simultaneous Mosaicing and Tracking with an Event Camera. 26.1–26.12. 162 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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