Abhinav Valada

2.6k total citations · 1 hit paper
82 papers, 1.1k citations indexed

About

Abhinav Valada is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Abhinav Valada has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 20 papers in Aerospace Engineering. Recurrent topics in Abhinav Valada's work include Robotics and Sensor-Based Localization (20 papers), Advanced Neural Network Applications (18 papers) and Robotic Path Planning Algorithms (11 papers). Abhinav Valada is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Advanced Neural Network Applications (18 papers) and Robotic Path Planning Algorithms (11 papers). Abhinav Valada collaborates with scholars based in Germany, United States and Netherlands. Abhinav Valada's co-authors include Wolfram Burgard, Daniele Cattaneo, Matteo Vaghi, Rohit Mohan, Tim Welschehold, Holger Caesar, Oscar Beijbom, Thomas Brox, Gabriel L. Oliveira and George Kantor and has published in prestigious journals such as Neuron, Proceedings of the IEEE and International Journal of Computer Vision.

In The Last Decade

Abhinav Valada

73 papers receiving 1.0k citations

Hit Papers

LCDNet: Deep Loop Closure Detection and Point Cloud Regis... 2022 2026 2023 2024 2022 40 80 120
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.

  1. LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
    2022 135 citations Daniele Cattaneo, Abhinav Valada et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhinav Valada Germany 16 657 341 204 153 118 82 1.1k
Tianfu Wu United States 21 982 1.5× 300 0.9× 218 1.1× 91 0.6× 55 0.5× 79 1.5k
Huimin Lu China 18 589 0.9× 490 1.4× 140 0.7× 63 0.4× 184 1.6× 117 1.1k
Junhao Xiao China 18 519 0.8× 488 1.4× 108 0.5× 188 1.2× 193 1.6× 85 1.1k
Xibin Song China 17 865 1.3× 272 0.8× 79 0.4× 100 0.7× 79 0.7× 34 1.2k
Zhijian Liu United States 14 817 1.2× 275 0.8× 334 1.6× 88 0.6× 47 0.4× 25 1.2k
Paulo Borges Australia 17 881 1.3× 516 1.5× 125 0.6× 143 0.9× 66 0.6× 65 1.2k
Di Feng Germany 10 738 1.1× 267 0.8× 325 1.6× 92 0.6× 131 1.1× 10 1.3k
Ivan Marković Croatia 16 334 0.5× 395 1.2× 181 0.9× 56 0.4× 95 0.8× 61 802
Jinshi Cui China 18 836 1.3× 221 0.6× 349 1.7× 104 0.7× 74 0.6× 63 1.2k
Hamid Rezatofighi Australia 15 764 1.2× 200 0.6× 262 1.3× 95 0.6× 51 0.4× 41 1.2k

Countries citing papers authored by Abhinav Valada

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Valada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Valada

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Valada. A scholar is included among the top collaborators of Abhinav Valada 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 Abhinav Valada. Abhinav Valada 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.
Welschehold, Tim, et al.. (2025). Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost. IEEE Robotics and Automation Letters. 10(4). 3198–3205. 1 indexed citations
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Valada, Abhinav, et al.. (2025). Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction. 785–792. 1 indexed citations
5.
Welschehold, Tim, et al.. (2025). Task-Driven Co-Design of Mobile Manipulators. IEEE Robotics and Automation Letters. 10(7). 7158–7165.
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Burgard, Wolfram, et al.. (2025). Label-Efficient LiDAR Panoptic Segmentation. 4385–4392.
8.
Valada, Abhinav, et al.. (2024). A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation. IEEE Robotics and Automation Letters. 10(1). 216–223. 1 indexed citations
9.
Buchanan, Russell, et al.. (2024). Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing. 16111–16117. 2 indexed citations
10.
Höflinger, Fabian, et al.. (2024). Evaluation of a Smart Mobile Robotic System for Industrial Plant Inspection and Supervision. IEEE Sensors Journal. 24(12). 19684–19697. 1 indexed citations
11.
Greve, E. L., et al.. (2024). Collaborative Dynamic 3D Scene Graphs for Automated Driving. 11118–11124. 13 indexed citations
12.
Kellmeyer, Philipp, et al.. (2024). Fairness and Bias in Robot Learning. Proceedings of the IEEE. 112(4). 305–330. 5 indexed citations
13.
Mohan, Rohit, et al.. (2024). AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving. IEEE Robotics and Automation Letters. 9(11). 9597–9604. 5 indexed citations
14.
Meyer, Johannes, et al.. (2024). Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences. IEEE Robotics and Automation Letters. 9(11). 9978–9985. 3 indexed citations
15.
Welschehold, Tim, et al.. (2023). Catch Me if You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments With Moving Sounds. IEEE Robotics and Automation Letters. 8(2). 928–935. 15 indexed citations
16.
Welschehold, Tim, et al.. (2023). Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. IEEE Robotics and Automation Letters. 8(12). 8549–8556. 8 indexed citations
17.
Cattaneo, Daniele, et al.. (2023). PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention. IEEE Robotics and Automation Letters. 8(3). 1319–1326. 26 indexed citations
18.
Welschehold, Tim, et al.. (2023). N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. IEEE Transactions on Robotics. 39(5). 3601–3619. 19 indexed citations
19.
Valada, Abhinav, et al.. (2017). AdapNet: Adaptive semantic segmentation in adverse environmental conditions. 4644–4651. 126 indexed citations
20.
Scerri, Paul, Prasanna Velagapudi, Bavani Kannan, et al.. (2012). Real-world testing of a multi-robot team. Adaptive Agents and Multi-Agents Systems. 1213–1214. 5 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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