Sameer Agarwal
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
Papers in
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- Advanced Database Systems and Queries 5
- Caching and Content Delivery 3
- Advanced Data Storage Technologies 2
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- Data Management and Algorithms 4
- Co-authors
- Ion Gabriel Stoica (7 shared papers)Samuel R. Madden (3 shared papers)Barzan Mozafari (3 shared papers)Henry Milner (2 shared papers)Aurojit Panda (2 shared papers)Srikanth Kandula (2 shared papers)Ganesh Ananthanarayanan (1 shared paper)Albert G. Greenberg (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)MIS Quarterly Executive (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Sameer Agarwal
10 papers receiving 997 citations
Sameer Agarwal's Hit Papers
Peers
Comparison fields: 5 of 46
- Signal Processing 429
- Computer Networks and Communications 778
- Information Systems 443
- Computer Vision and Pattern Recognition 243
- Artificial Intelligence 321
Countries citing papers authored by Sameer Agarwal
This map shows the geographic impact of Sameer Agarwal'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 Sameer Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Agarwal more than expected).
Fields of papers citing papers by Sameer Agarwal
This network shows the impact of papers produced by Sameer Agarwal. 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 Sameer Agarwal. The network helps show where Sameer Agarwal may publish in the future.
Co-authors
The 24 scholars most cited alongside Sameer Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | BlinkDB Hit paper breakdown → | 2013 | 484 |
| 2 | 2011 | 227 | |
| 3 | 2014 | 113 | |
| 4 | 2012 | 70 | |
| 5 | 2015 | 58 | |
| 6 | 2016 | 36 | |
| 7 | Leveraging collaborative technologies to build a knowledge sharing culture at HP Analytics | 2011 | 32 |
| 8 | 2012 | 22 | |
| 9 | 2014 | 3 | |
| 10 | Queries with Bounded Errors & Bounded Response Times on Very Large Data | 2014 | 1 |
About Sameer Agarwal
Sameer Agarwal is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Data Stream Mining Techniques (4 papers), Data Management and Algorithms (4 papers), Caching and Content Delivery (3 papers), Cloud Computing and Resource Management (3 papers), Advanced Data Storage Technologies (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Signal Processing (429 citations), Computer Networks and Communications (778 citations), Information Systems (443 citations), Computer Vision and Pattern Recognition (243 citations) and Artificial Intelligence (321 citations). Sameer Agarwal has collaborated with scholars based in United States and Japan. Frequent co-authors include Ion Gabriel Stoica, Samuel R. Madden, Barzan Mozafari, Henry Milner, Aurojit Panda, Srikanth Kandula, Ganesh Ananthanarayanan, Albert G. Greenberg, Kai Zeng and Michael I. Jordan. Their work appears in journals such as Proceedings of the VLDB Endowment, MIS Quarterly Executive and Lecture notes in computer science.
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.