Sanjeev Arora
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Computer Networks and Communications top 5%
- Hepatology top 5%
- Electrical and Electronic Engineering
- Co-authors
- Boaz BarakRavi KannanDavid SteurerDavid JohnstonMazen M. JamalPatrick G. QuinnAnurag SoniRobert Rosenberg
- Topics
- Hepatitis C virus research (9 papers)Complexity and Algorithms in Graphs (6 papers)Liver Disease Diagnosis and Treatment (3 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Sanjeev Arora
21 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 1.1k
- Computer Networks and Communications 369
- Hepatology 221
- Electrical and Electronic Engineering 207
Countries citing papers authored by Sanjeev Arora
This map shows the geographic impact of Sanjeev Arora'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 Sanjeev Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Arora more than expected).
Fields of papers citing papers by Sanjeev Arora
This network shows the impact of papers produced by Sanjeev Arora. 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 Sanjeev Arora. The network helps show where Sanjeev Arora may publish in the future.
Co-authorship network of co-authors of Sanjeev Arora
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Arora. A scholar is included among the top collaborators of Sanjeev Arora 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 Sanjeev Arora. Sanjeev Arora 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 | 14 | |
| 3 | 5 | |
| 4 | 25 | |
| 5 | 64 | |
| 6 | Computational Complexity: A Modern Approachbreakdown → | 1028 |
| 7 | 14 | |
| 8 | Computational Complexity: ADVANCED TOPICS | 336 |
| 9 | Computational Complexitybreakdown → | 760 |
| 10 | 57 | |
| 11 | 40 | |
| 12 | 25 | |
| 13 | 55 | |
| 14 | 110 | |
| 15 | 17 | |
| 16 | 106 | |
| 17 | Proof verification and the hardness of approximation problems. | 14 |
| 18 | 66 | |
| 19 | 12 | |
| 20 | 35 |
About Sanjeev Arora
Sanjeev Arora is a scholar working on Hepatology, Computational Theory and Mathematics and Rheumatology, having authored 23 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Complexity and Algorithms in Graphs (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Computational Mathematics (24 citations) and Artificial Intelligence (1.3k citations). Sanjeev Arora has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Boaz Barak, Ravi Kannan, David Steurer, David Johnston, Mazen M. Jamal, Patrick G. Quinn, Anurag Soni, Robert Rosenberg, Donald E. Wheeler and John R. Saltzman. Their work appears in journals such as Gastroenterology, American Journal of Clinical Nutrition and Hepatology.
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.