Nakul Gopalan

55 total papers · 737 total citations
23 papers, 374 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 374 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, Singapore and Germany. Nakul Gopalan's co-authors include Stefanie Tellex, Cynthia Matuszek, Hadas Kress‐Gazit, Matthew Gombolay, Andrew Silva, Lawson L. S. Wong, Mariah Schrum, Ellie Pavlick, Thao Nguyen and Roma Patel 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 359 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nakul Gopalan	241	146	111	48	23	23	374
Francisco Cruz	246 1.0×	62 0.4×	107 1.0×	34 0.7×	9 0.4×	32	372
Aurélie Clodic	153 0.6×	63 0.4×	113 1.0×	134 2.8×	13 0.6×	13	345
Sina Mohseni	208 0.9×	79 0.5×	36 0.3×	26 0.5×	16 0.7×	23	358
Szymon Bobek	142 0.6×	90 0.6×	33 0.3×	20 0.4×	5 0.2×	38	348
Halit Bener Suay	279 1.2×	61 0.4×	217 2.0×	59 1.2×	10 0.4×	21	431
Sai Vemprala	132 0.5×	179 1.2×	77 0.7×	9 0.2×	116 5.0×	20	368
Tao Chen	154 0.6×	114 0.8×	123 1.1×	21 0.4×	29 1.3×	28	394
Mei Kuan Lim	179 0.7×	250 1.7×	21 0.2×	10 0.2×	12 0.5×	30	433
Huadong Wang	274 1.1×	75 0.5×	14 0.1×	34 0.7×	19 0.8×	29	408
Tijn van der Zant	183 0.8×	197 1.3×	102 0.9×	49 1.0×	28 1.2×	19	385

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

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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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