Sunil Prabhakar

5.5k citations
103 papers · 2.8k indexed · h-index 25

Sunil Prabhakar

101 papers receiving 2.6k citations

Peers

Sunil Prabhakar
Comparison fields: 5 of 82
  • Signal Processing 1.9k
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 991
  • Computer Vision and Pattern Recognition 637
  • Information Systems 598
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Nick Roussopoulos United States
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Ke Yi Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Sunil Prabhakar

Since Specialization
Citations

This map shows the geographic impact of Sunil Prabhakar'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 Sunil Prabhakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Prabhakar more than expected).

Fields of papers citing papers by Sunil Prabhakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Prabhakar. 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 Sunil Prabhakar. The network helps show where Sunil Prabhakar may publish in the future.

Co-authorship network of co-authors of Sunil Prabhakar

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Prabhakar. A scholar is included among the top collaborators of Sunil Prabhakar 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 Sunil Prabhakar. Sunil Prabhakar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3
Location Privacy in Moving-Object Environments
17
4 2
5
The Orion Uncertain Data Management System
5
6
Indexing Probabilistic Nearest-Neighbor Threshold Queries.
4
7
Tracing lineage beyond relational operators
24
8 60
9 10
10
U-DBMS: a database system for managing constantly-evolving data
67
11
Adaptive stream filters for entity-based queries with non-value tolerance
30
12
Quality-Aware Replication of Multimedia Data
0
13 4
14
C-JDBC: a Middleware Framework for Database Clustering.
18
15 22
16 275
17
Efficient evaluation of continuous range queries on moving objects
6
18 6
19 1
20 7

About Sunil Prabhakar

Sunil Prabhakar is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 103 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (49 papers), Advanced Database Systems and Queries (33 papers) and Data Mining Algorithms and Applications (12 papers). The work is most often cited by research in Signal Processing (1.9k citations), Geography, Planning and Development (389 citations) and Computer Networks and Communications (1.5k citations). Sunil Prabhakar has collaborated with scholars based in United States, Hong Kong and India. Frequent co-authors include Reynold Cheng, Dmitri V. Kalashnikov, Susanne E. Hambrusch, Mikhail J. Atallah, Radu Sion, Sarvjeet Singh, Chris Mayfield, Yi-Cheng Tu, Walid G. Aref and Yuni Xia. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Computers.

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.

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