Abhishek Parakh
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Subhash KakMahadevan SubramaniamParvathi ChundiSandeep MishraKishore ThapliyalAnirban PathakWilliam MahoneyDario Ghersi
- Topics
- Quantum Computing Algorithms and Architecture (21 papers)Quantum Information and Cryptography (19 papers)Quantum Mechanics and Applications (17 papers)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Abhishek Parakh
54 papers receiving 303 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 258
- Information Systems 92
- Computer Networks and Communications 78
- Computer Vision and Pattern Recognition 63
- Atomic and Molecular Physics, and Optics 63
Countries citing papers authored by Abhishek Parakh
This map shows the geographic impact of Abhishek Parakh'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 Abhishek Parakh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Parakh more than expected).
Fields of papers citing papers by Abhishek Parakh
This network shows the impact of papers produced by Abhishek Parakh. 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 Abhishek Parakh. The network helps show where Abhishek Parakh may publish in the future.
Co-authorship network of co-authors of Abhishek Parakh
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Parakh. A scholar is included among the top collaborators of Abhishek Parakh 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 Abhishek Parakh. Abhishek Parakh 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 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Learning objects based adaptive textbooks with dynamic traversal for quantum cryptography | 4 |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 46 | |
| 19 | 65 | |
| 20 | 4 |
About Abhishek Parakh
Abhishek Parakh is a scholar working on Artificial Intelligence, Computer Science Applications and Atomic and Molecular Physics, and Optics, having authored 58 papers that have together received 344 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (21 papers), Quantum Information and Cryptography (19 papers) and Quantum Mechanics and Applications (17 papers). The work is most often cited by research in Artificial Intelligence (258 citations), Information Systems (92 citations) and Computer Networks and Communications (78 citations). Abhishek Parakh has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Subhash Kak, Mahadevan Subramaniam, Parvathi Chundi, Sandeep Mishra, Kishore Thapliyal, Anirban Pathak, William Mahoney, Dario Ghersi, Mihaly Mezei and Pramode K. Verma. Their work appears in journals such as Scientific Reports, Journal of Computational Chemistry and Information Sciences.
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.