Pranav Gokhale
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Frederic T. ChongMargaret MartonosiKaitlin N. SmithGokul Subramanian RaviTeague TomeshMartin SucharaYongshan DingKenneth R. Brown
- Topics
- Quantum Computing Algorithms and Architecture (19 papers)Quantum Information and Cryptography (17 papers)Quantum-Dot Cellular Automata (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the IEEEIEEE Transactions on Power Systems
- Partner nations
- United StatesCanadaPhilippines
In The Last Decade
Pranav Gokhale
20 papers receiving 346 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 328
- Atomic and Molecular Physics, and Optics 126
- Computational Theory and Mathematics 78
- Electrical and Electronic Engineering 61
- Information Systems 37
Countries citing papers authored by Pranav Gokhale
This map shows the geographic impact of Pranav Gokhale'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 Pranav Gokhale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranav Gokhale more than expected).
Fields of papers citing papers by Pranav Gokhale
This network shows the impact of papers produced by Pranav Gokhale. 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 Pranav Gokhale. The network helps show where Pranav Gokhale may publish in the future.
Co-authorship network of co-authors of Pranav Gokhale
This figure shows the co-authorship network connecting the top 25 collaborators of Pranav Gokhale. A scholar is included among the top collaborators of Pranav Gokhale 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 Pranav Gokhale. Pranav Gokhale 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 | 10 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | 64 | |
| 11 | 24 | |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 27 | |
| 15 | 28 | |
| 16 | 69 | |
| 17 | 21 | |
| 18 | 16 | |
| 19 | 9 | |
| 20 | 19 |
About Pranav Gokhale
Pranav Gokhale is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics, having authored 21 papers that have together received 359 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (17 papers) and Quantum-Dot Cellular Automata (6 papers). The work is most often cited by research in Artificial Intelligence (328 citations), Computational Theory and Mathematics (78 citations) and Hardware and Architecture (30 citations). Pranav Gokhale has collaborated with scholars based in United States, Canada and Philippines. Frequent co-authors include Frederic T. Chong, Margaret Martonosi, Kaitlin N. Smith, Gokul Subramanian Ravi, Teague Tomesh, Martin Suchara, Yongshan Ding, Kenneth R. Brown, Jonathan M. Baker and Nikos Hardavellas. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Power Systems.
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.