Unmesh Kurup

21 papers receiving 324 citations

Peers

Unmesh Kurup
Comparison fields: 5 of 70
  • Artificial Intelligence 118
  • Computer Vision and Pattern Recognition 97
  • Automotive Engineering 94
  • Computer Networks and Communications 53
  • Control and Systems Engineering 42
Replace Arijit Chowdhury with:
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Countries citing papers authored by Unmesh Kurup

Since Specialization
Citations

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

Fields of papers citing papers by Unmesh Kurup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Unmesh Kurup

This figure shows the co-authorship network connecting the top 25 collaborators of Unmesh Kurup. A scholar is included among the top collaborators of Unmesh Kurup 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 Unmesh Kurup. Unmesh Kurup 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 0
2 0
3 0
4 84
5 143
6 8
7 2
8 4
9 25
10 17
11 6
12 1
13 2
14
Multirepresentational architectures for human-level intelligence : papers from the AAAI Fall Symposium
1
15 2
16
Design and use of a bimodal cognitive architecture for diagrammatic reasoning and cognitive modeling
3
17
A Bimodal Cognitive Architecture: Explorations in Architectural Explanation of Spatial Reasoning.
1
18
Modeling Memories of Large-scale Space Using a Bimodal Cognitive Architecture
4
19
Multi-modal Cognitive Architectures: A Partial Solution to the Frame Problem
5
20
A Diagrammatic Reasoning Architecture: Design, Implementation and Experiments
5

About Unmesh Kurup

Unmesh Kurup is a scholar working on Artificial Intelligence, Family Practice and Computer Networks and Communications, having authored 25 papers that have together received 337 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (9 papers), Constraint Satisfaction and Optimization (8 papers) and Logic, Reasoning, and Knowledge (3 papers). The work is most often cited by research in Automotive Engineering (94 citations), Computer Vision and Pattern Recognition (97 citations) and Artificial Intelligence (118 citations). Unmesh Kurup has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Mohak Shah, Junyao Guo, Samarth Tripathi, Christian Lebière, B. Chandrasekaran, Anthony Stentz, Nicholas L. Cassimatis, Bonny Banerjee, Florian Jentsch and Scott Ososky. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Topics in Cognitive Science and Cognitive Systems Research.

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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