Rohan Chitnis

912 total citations · 1 hit paper
22 papers, 502 citations indexed

About

Rohan Chitnis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Rohan Chitnis has authored 22 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Control and Systems Engineering. Recurrent topics in Rohan Chitnis's work include AI-based Problem Solving and Planning (10 papers), Reinforcement Learning in Robotics (6 papers) and Machine Learning and Algorithms (4 papers). Rohan Chitnis is often cited by papers focused on AI-based Problem Solving and Planning (10 papers), Reinforcement Learning in Robotics (6 papers) and Machine Learning and Algorithms (4 papers). Rohan Chitnis collaborates with scholars based in United States, India and Germany. Rohan Chitnis's co-authors include Pieter Abbeel, Stuart Russell, Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Tom Silver, Leslie Pack Kaelbling, Dylan Hadfield-Menell, Joshua B. Tenenbaum and Tomás Lozano‐Pérez and has published in prestigious journals such as Journal of Radioanalytical and Nuclear Chemistry, arXiv (Cornell University) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Rohan Chitnis

18 papers receiving 466 citations

Hit Papers

Combined task and motion planning through an extensible p... 2014 2026 2018 2022 2014 50 100 150 200 250
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. Combined task and motion planning through an extensible planner-independent interface layer
    2014 284 citations Siddharth Srivastava, Eugene Fang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohan Chitnis United States 10 303 279 232 57 47 22 502
H.R. Beom South Korea 5 171 0.6× 115 0.4× 88 0.4× 79 1.4× 23 0.5× 8 269
Ricardo Martínez Mexico 5 80 0.3× 228 0.8× 134 0.6× 10 0.2× 10 0.2× 7 311
Rui Lin China 8 130 0.4× 126 0.5× 34 0.1× 55 1.0× 15 0.3× 35 268
José Antonio Martín H. Spain 8 76 0.3× 72 0.3× 48 0.2× 11 0.2× 25 0.5× 18 224
Syrine Belakaria United States 11 43 0.1× 82 0.3× 26 0.1× 10 0.2× 10 0.2× 21 301
Zhiyuan Yang United States 8 77 0.3× 62 0.2× 18 0.1× 30 0.5× 17 0.4× 30 358
Rui Zhong Japan 11 39 0.1× 191 0.7× 24 0.1× 38 0.7× 17 0.4× 47 295
S. Piche United States 6 26 0.1× 173 0.6× 212 0.9× 8 0.1× 21 0.4× 9 377
Yiwei Pan China 6 76 0.3× 216 0.8× 20 0.1× 49 0.9× 19 0.4× 10 322
R.-J. Wai Taiwan 11 21 0.1× 138 0.5× 366 1.6× 25 0.4× 99 2.1× 14 476

Countries citing papers authored by Rohan Chitnis

Since Specialization
Citations

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

Fields of papers citing papers by Rohan Chitnis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohan Chitnis

This figure shows the co-authorship network connecting the top 25 collaborators of Rohan Chitnis. A scholar is included among the top collaborators of Rohan Chitnis 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 Rohan Chitnis. Rohan Chitnis 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.
2.
Silver, Tom, et al.. (2023). Predicate Invention for Bilevel Planning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 12120–12129. 10 indexed citations
3.
Zheng, Kaiyu, et al.. (2022). Towards Optimal Correlational Object Search. 2022 International Conference on Robotics and Automation (ICRA). 7313–7319. 9 indexed citations
4.
Chitnis, Rohan, et al.. (2022). Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. Proceedings of the International Conference on Automated Planning and Scheduling. 32. 588–596. 10 indexed citations
5.
Chitnis, Rohan, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, & Tomás Lozano‐Pérez. (2021). GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. Proceedings of the AAAI Conference on Artificial Intelligence. 35(13). 11782–11791. 6 indexed citations
6.
Silver, Tom, et al.. (2021). Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(13). 11962–11971. 37 indexed citations
7.
Chitnis, Rohan, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, & Tomás Lozano‐Pérez. (2020). GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. arXiv (Cornell University). 35(13). 11782–11791. 1 indexed citations
8.
Silver, Tom, et al.. (2020). Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. arXiv (Cornell University). 35(13). 11962–11971. 1 indexed citations
9.
Chitnis, Rohan, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, & Tomás Lozano‐Pérez. (2020). GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. 1 indexed citations
10.
Chitnis, Rohan, Leslie Pack Kaelbling, & Tomás Lozano‐Pérez. (2018). Learning What Information to Give in Partially Observed Domains. 724–733. 1 indexed citations
11.
Chitnis, Rohan, et al.. (2016). Guided search for task and motion plans using learned heuristics. 447–454. 39 indexed citations
12.
Hadfield-Menell, Dylan, Christopher H. Lin, Rohan Chitnis, Stuart Russell, & Pieter Abbeel. (2016). Sequential quadratic programming for task plan optimization. 5040–5047. 6 indexed citations
13.
Chitnis, Rohan & John DeNero. (2015). Variable-Length Word Encodings for Neural Translation Models. 2088–2093. 20 indexed citations
14.
Hadfield-Menell, Dylan, et al.. (2015). Modular task and motion planning in belief space. 4991–4998. 23 indexed citations
15.
Srivastava, Siddharth, Eugene Fang, Lorenzo Riano, et al.. (2014). Combined task and motion planning through an extensible planner-independent interface layer. 639–646. 284 indexed citations breakdown →
16.
Chitnis, Rohan, et al.. (1980). Constant current coulometric method for the determination of uranium in active process solutions. Journal of Radioanalytical and Nuclear Chemistry. 59(1). 15–21. 1 indexed citations
17.
Chitnis, Rohan, et al.. (1979). Determination of plutonium by secondary coulometric titration with internally generated iron(II). Journal of Radioanalytical and Nuclear Chemistry. 49(1). 71–77. 6 indexed citations
18.
Chitnis, Rohan, et al.. (1979). Controlled-potential coulometric studies on fluoride complexing of plutonium(IV). Journal of Radioanalytical and Nuclear Chemistry. 50(1-2). 53–60. 5 indexed citations
19.
Chitnis, Rohan, et al.. (1978). Volumetric method for the determination of uranium in the active process solutions. Journal of Radioanalytical and Nuclear Chemistry. 45(2). 331–339. 19 indexed citations
20.
Chitnis, Rohan, et al.. (1970). ANALYSIS OF PLUTONIUM. PART I. CHEMICAL METHODS.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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