Bhaskara Marthi

30 papers receiving 1.5k citations

Peers

Bhaskara Marthi
Comparison fields: 5 of 88
  • Artificial Intelligence 969
  • Computer Vision and Pattern Recognition 518
  • Control and Systems Engineering 376
  • Aerospace Engineering 197
  • Management Science and Operations Research 184
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Long-Ji Lin United States
Joseph Modayil Canada
Itsuki Noda Japan
Zuren Feng China
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Bilal Piot United Kingdom
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Bhaskara Marthi

Since Specialization
Citations

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

Fields of papers citing papers by Bhaskara Marthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhaskara Marthi

This figure shows the co-authorship network connecting the top 25 collaborators of Bhaskara Marthi. A scholar is included among the top collaborators of Bhaskara Marthi 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 Bhaskara Marthi. Bhaskara Marthi 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
#WorkIndexed citations
1 151
2 135
3
Designing intelligent robots : reintegrating AI : papers from the AAAI Spring Symposium
4
4 93
5 32
6 118
7 126
8
Angelic semantics for high-level actions
42
9 182
10 61
11 44
12
A compact, hierarchically optimal Q-function decomposition
3
13
A compact, hierarchical Q-function decomposition
1
14
Concurrent hierarchical reinforcement learning
22
15
Approximate inference for infinite contingent Bayesian networks
27
16
Super-resolution Enhancement of Video
84
17
Proceedings Ninth International Conference on Artificial Intelligence and Statistics 2003
2
18
Decayed MCMC iltering
18
19
Identity Uncertainty and Citation Matching
176
20 85

About Bhaskara Marthi

Bhaskara Marthi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (5 papers), Robotics and Sensor-Based Localization (5 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Artificial Intelligence (969 citations), Computer Vision and Pattern Recognition (518 citations) and Control and Systems Engineering (376 citations). Bhaskara Marthi has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Stuart Russell, Brian Milch, Jason Wolfe, Sachin Chitta, Hanna Pasula, Kurt Konolige, Eitan Marder-Eppstein, Sarah Osentoski, Scott Niekum and Andrew G. Barto. Their work appears in journals such as Science, The International Journal of Robotics Research and Natural Language Engineering.

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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