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
Papers in
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- Advanced Database Systems and Queries 5
- Caching and Content Delivery 2
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- Data Stream Mining Techniques 4
- Machine Learning and Algorithms 1
- Co-authors
- Ion Stoica (6 shared papers)Barzan Mozafari (3 shared papers)Samuel Madden (3 shared papers)Henry Milner (2 shared papers)Aurojit Panda (2 shared papers)Srikanth Kandula (2 shared papers)Albert Greenberg (1 shared paper)Ganesh Ananthanarayanan (1 shared paper)
- Partner nations
- United States
In The Last Decade
Sameer Agarwal
9 papers receiving 905 citations
Sameer Agarwal's Hit Papers
Peers
Comparison fields: 5 of 45
- Signal Processing 402
- Computer Networks and Communications 715
- Information Systems 412
- Computer Vision and Pattern Recognition 234
- Hardware and Architecture 65
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 21 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 | 442 |
| 2 | 2011 | 215 | |
| 3 | 2014 | 106 | |
| 4 | 2012 | 61 | |
| 5 | 2015 | 52 | |
| 6 | 2016 | 34 | |
| 7 | Leveraging collaborative technologies to build a knowledge sharing culture at HP Analytics | 2011 | 30 |
| 8 | 2012 | 22 | |
| 9 | 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, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 963 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), Cloud Computing and Resource Management (3 papers), Caching and Content Delivery (2 papers), Graph Theory and Algorithms (1 paper), Machine Learning and Algorithms (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Signal Processing (402 citations), Computer Networks and Communications (715 citations), Information Systems (412 citations), Computer Vision and Pattern Recognition (234 citations) and Hardware and Architecture (65 citations). Sameer Agarwal has collaborated with scholars based in United States. Frequent co-authors include Ion Stoica, Barzan Mozafari, Samuel Madden, Henry Milner, Aurojit Panda, Srikanth Kandula, Albert Greenberg, Ganesh Ananthanarayanan, Kai Zeng and Ameet Talwalkar. Their work appears in journals such as Proceedings of the VLDB Endowment and MIS Quarterly Executive.
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.