Anil Shanbhag
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Co-authors
- Samuel MaddenXiangyao YuAlekh JindalBolin DingSrikanth KandulaSurajit ChaudhuriRobert GrandlHolger Pirk
- Topics
- Advanced Database Systems and Queries (9 papers)Data Management and Algorithms (7 papers)Cloud Computing and Resource Management (6 papers)
- Journals
- Proceedings of the VLDB EndowmentConference on Innovative Data Systems ResearchDSpace@MIT (Massachusetts Institute of Technology)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Anil Shanbhag
14 papers receiving 365 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 289
- Signal Processing 134
- Information Systems 132
- Artificial Intelligence 119
- Hardware and Architecture 92
Countries citing papers authored by Anil Shanbhag
This map shows the geographic impact of Anil Shanbhag'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 Anil Shanbhag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Shanbhag more than expected).
Fields of papers citing papers by Anil Shanbhag
This network shows the impact of papers produced by Anil Shanbhag. 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 Anil Shanbhag. The network helps show where Anil Shanbhag may publish in the future.
Co-authorship network of co-authors of Anil Shanbhag
This figure shows the co-authorship network connecting the top 25 collaborators of Anil Shanbhag. A scholar is included among the top collaborators of Anil Shanbhag 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 Anil Shanbhag. Anil Shanbhag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 20 | |
| 3 | 56 | |
| 4 | 45 | |
| 5 | 22 | |
| 6 | A Common Runtime for High Performance Data Analysis. | 23 |
| 7 | 38 | |
| 8 | 28 | |
| 9 | Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters | 13 |
| 10 | 85 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 2 |
About Anil Shanbhag
Anil Shanbhag is a scholar working on Signal Processing, Hardware and Architecture and Computer Networks and Communications, having authored 14 papers that have together received 372 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (7 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Hardware and Architecture (92 citations), Computer Networks and Communications (289 citations) and Signal Processing (134 citations). Anil Shanbhag has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Samuel Madden, Xiangyao Yu, Alekh Jindal, Bolin Ding, Srikanth Kandula, Surajit Chaudhuri, Robert Grandl, Holger Pirk, Yi Lu and Shoumik Palkar. Their work appears in journals such as Proceedings of the VLDB Endowment, Conference on Innovative Data Systems Research and DSpace@MIT (Massachusetts Institute of Technology).
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.