Arun Chauhan
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Ken KennedyBasudeba BeheraVijay Bhaskar SemwalJoyeeta SinghaSunil SaumyaMartin SwanyDurga ToshniwalMalay Sarkar
- Topics
- Parallel Computing and Optimization Techniques (25 papers)Logic, programming, and type systems (13 papers)Distributed and Parallel Computing Systems (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEProceedings of the IEEE
- Partner nations
- United StatesIndiaDenmark
In The Last Decade
Arun Chauhan
63 papers receiving 588 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 252
- Hardware and Architecture 187
- Computer Networks and Communications 161
- Computer Vision and Pattern Recognition 125
- Information Systems 106
Countries citing papers authored by Arun Chauhan
This map shows the geographic impact of Arun Chauhan'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 Arun Chauhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Chauhan more than expected).
Fields of papers citing papers by Arun Chauhan
This network shows the impact of papers produced by Arun Chauhan. 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 Arun Chauhan. The network helps show where Arun Chauhan may publish in the future.
Co-authorship network of co-authors of Arun Chauhan
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Chauhan. A scholar is included among the top collaborators of Arun Chauhan 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 Arun Chauhan. Arun Chauhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 84 | |
| 12 | RubyWrite: A Ruby-embedded Domain-specic Language for High-level Transformations | 0 |
| 13 | Optimizing OpenCL Kernels for Iterative Statistical Applications on GPUs | 2 |
| 14 | 13 | |
| 15 | Kanor: a declarative language for explicit communication | 4 |
| 16 | 24 | |
| 17 | 3 | |
| 18 | Type-Based Speculative Specialization in a Telescoping Compiler for MATLAB | 2 |
| 19 | 8 | |
| 20 | 1 |
About Arun Chauhan
Arun Chauhan is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications, having authored 68 papers that have together received 622 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (25 papers), Logic, programming, and type systems (13 papers) and Distributed and Parallel Computing Systems (9 papers). The work is most often cited by research in Hardware and Architecture (187 citations), Artificial Intelligence (252 citations) and Computer Networks and Communications (161 citations). Arun Chauhan has collaborated with scholars based in United States, India and Denmark. Frequent co-authors include Ken Kennedy, Basudeba Behera, Vijay Bhaskar Semwal, Joyeeta Singha, Sunil Saumya, Martin Swany, Durga Toshniwal, Malay Sarkar, John Mellor‐Crummey and Charles Koelbel. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.
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.