Venkatesh Choppella
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Co-authors
- J. RamanujamSandhya KrishnanChi‐Chung LamGerald BaumgartnerP. SadayappanSriram KrishnamoorthyRobert J. HarrisonQingda Lu
- Topics
- Experimental Learning in Engineering (12 papers)Distributed and Parallel Computing Systems (6 papers)Scientific Computing and Data Management (5 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Venkatesh Choppella
44 papers receiving 377 citations
Peers
Comparison fields: 5 of 65
- Hardware and Architecture 159
- Computer Networks and Communications 151
- Information Systems 87
- Artificial Intelligence 71
- Atomic and Molecular Physics, and Optics 63
Countries citing papers authored by Venkatesh Choppella
This map shows the geographic impact of Venkatesh Choppella'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 Venkatesh Choppella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venkatesh Choppella more than expected).
Fields of papers citing papers by Venkatesh Choppella
This network shows the impact of papers produced by Venkatesh Choppella. 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 Venkatesh Choppella. The network helps show where Venkatesh Choppella may publish in the future.
Co-authorship network of co-authors of Venkatesh Choppella
This figure shows the co-authorship network connecting the top 25 collaborators of Venkatesh Choppella. A scholar is included among the top collaborators of Venkatesh Choppella 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 Venkatesh Choppella. Venkatesh Choppella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 101 | |
| 18 | 4 | |
| 19 | Unification source-tracking with application to diagnosis of type inference | 6 |
| 20 | 55 |
About Venkatesh Choppella
Venkatesh Choppella is a scholar working on Human Factors and Ergonomics, Software and Media Technology, having authored 52 papers that have together received 398 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (12 papers), Distributed and Parallel Computing Systems (6 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Computational Mathematics (47 citations), Hardware and Architecture (159 citations) and Computer Networks and Communications (151 citations). Venkatesh Choppella has collaborated with scholars based in India, United States and Germany. Frequent co-authors include J. Ramanujam, Sandhya Krishnan, Chi‐Chung Lam, Gerald Baumgartner, P. Sadayappan, Sriram Krishnamoorthy, Robert J. Harrison, Qingda Lu, A. G. Sibiryakov and Xiaoyang Gao. Their work appears in journals such as Proceedings of the IEEE, IEEE Access and Molecular Physics.
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.