Nakul Gopalan

752 total citations
23 papers, 381 citations indexed

About

Nakul Gopalan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Nakul Gopalan has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Nakul Gopalan's work include Multimodal Machine Learning Applications (8 papers), Robotic Path Planning Algorithms (6 papers) and Reinforcement Learning in Robotics (5 papers). Nakul Gopalan is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Robotic Path Planning Algorithms (6 papers) and Reinforcement Learning in Robotics (5 papers). Nakul Gopalan collaborates with scholars based in United States, France and Germany. Nakul Gopalan's co-authors include Stefanie Tellex, Hadas Kress‐Gazit, Cynthia Matuszek, Matthew Gombolay, Andrew Silva, Lawson L. S. Wong, Mariah Schrum, Roma Patel, Thao Nguyen and Ellie Pavlick and has published in prestigious journals such as Autonomous Robots, IEEE Robotics and Automation Letters and Pediatric Neurology.

In The Last Decade

Nakul Gopalan

20 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nakul Gopalan United States 11 241 148 113 49 23 23 381
Francisco Cruz Australia 11 247 1.0× 62 0.4× 108 1.0× 34 0.7× 10 0.4× 32 376
Shane Griffith United States 7 192 0.8× 68 0.5× 131 1.2× 39 0.8× 41 1.8× 11 316
Dylan Hadfield-Menell United States 9 167 0.7× 78 0.5× 94 0.8× 33 0.7× 20 0.9× 23 297
Halit Bener Suay United States 12 280 1.2× 60 0.4× 216 1.9× 59 1.2× 10 0.4× 21 434
Rogerio Bonatti United States 6 147 0.6× 149 1.0× 89 0.8× 10 0.2× 54 2.3× 12 327
Adrian Li United States 6 197 0.8× 110 0.7× 119 1.1× 55 1.1× 15 0.7× 9 306
Fangkai Yang United States 11 257 1.1× 116 0.8× 91 0.8× 63 1.3× 11 0.5× 53 411
Emanuele Bastianelli Italy 11 241 1.0× 90 0.6× 68 0.6× 31 0.6× 29 1.3× 24 354
Tijn van der Zant Netherlands 11 183 0.8× 197 1.3× 103 0.9× 49 1.0× 28 1.2× 19 386
Ishika Singh United States 3 167 0.7× 115 0.8× 93 0.8× 9 0.2× 11 0.5× 7 317

Countries citing papers authored by Nakul Gopalan

Since Specialization
Citations

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

Fields of papers citing papers by Nakul Gopalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nakul Gopalan

This figure shows the co-authorship network connecting the top 25 collaborators of Nakul Gopalan. A scholar is included among the top collaborators of Nakul Gopalan 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 Nakul Gopalan. Nakul Gopalan 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.
Gopalan, Nakul, et al.. (2024). Hardware-Software Co-Design for Path Planning by Drones. 8141–8146. 1 indexed citations
2.
Gopalan, Nakul, et al.. (2024). Interactive Visual Task Learning for Robots. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23793–23795.
3.
Gombolay, Grace, Nakul Gopalan, Andrea Bernasconi, et al.. (2023). Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist. Pediatric Neurology. 141. 42–51. 21 indexed citations
4.
5.
Tambwekar, Pradyumna, Andrew Silva, Nakul Gopalan, & Matthew Gombolay. (2023). Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics and Automation Letters. 8(6). 3621–3628. 4 indexed citations
6.
Matuszek, Cynthia, et al.. (2022). Machine Learning in Human-Robot Collaboration: Bridging the Gap. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). 1275–1277.
7.
Silva, Andrew, et al.. (2022). Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. International Journal of Human-Computer Interaction. 39(7). 1390–1404. 50 indexed citations
8.
9.
Nguyen, Thao, et al.. (2021). Affordance-based robot object retrieval. Autonomous Robots. 46(1). 83–98. 5 indexed citations
10.
Johnson, Michael, et al.. (2021). An Approach to Human-Robot Collaborative Drilling and Fastening in Aerospace Final Assembly. AIAA Scitech 2021 Forum. 1 indexed citations
11.
Silva, Andrew, et al.. (2021). LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics and Automation Letters. 7(2). 1635–1642. 14 indexed citations
12.
Rosen, Eric, et al.. (2020). Building Plannable Representations with Mixed Reality. 11146–11153. 3 indexed citations
13.
Gopalan, Nakul, Eric Rosen, George Konidaris, & Stefanie Tellex. (2020). Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following. 14 indexed citations
14.
Nguyen, Thao, et al.. (2020). Robot Object Retrieval with Contextual Natural Language Queries. 32 indexed citations
15.
Ullman, Daniel, et al.. (2019). Flight, Camera, Action! Using Natural Language and Mixed Reality to Control a Drone. 6949–6956. 19 indexed citations
16.
Gopalan, Nakul, et al.. (2018). Learning to Parse Natural Language to Grounded Reward Functions with Weak Supervision. 4430–4436. 19 indexed citations
17.
Gopalan, Nakul, et al.. (2018). Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications. 28 indexed citations
18.
Karamcheti, Siddharth, et al.. (2018). Grounding natural language instructions to semantic goal representations for abstraction and generalization. Autonomous Robots. 43(2). 449–468. 13 indexed citations
19.
Gopalan, Nakul, Marie desJardins, Michael L. Littman, et al.. (2017). Planning with Abstract Markov Decision Processes. Proceedings of the International Conference on Automated Planning and Scheduling. 27. 480–488. 24 indexed citations
20.
Gopalan, Nakul, Marc Peter Deisenroth, & Jan Peters. (2013). Feedback error learning for rhythmic motor primitives. Spiral (Imperial College London). 1317–1322. 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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