Amol Deshpande

101 papers receiving 4.3k citations

Hit Papers

TelegraphCQ: Continuous Dataflow Processing for an Uncert...2003202620102018200320032006200400600

Peers

Amol Deshpande
Comparison fields: 5 of 85
  • Computer Networks and Communications 3.4k
  • Signal Processing 2.1k
  • Artificial Intelligence 1.8k
  • Information Systems 1.1k
  • Computer Vision and Pattern Recognition 815
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Countries citing papers authored by Amol Deshpande

Since Specialization
Citations

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

Fields of papers citing papers by Amol Deshpande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amol Deshpande

This figure shows the co-authorship network connecting the top 25 collaborators of Amol Deshpande. A scholar is included among the top collaborators of Amol Deshpande 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 Amol Deshpande. Amol Deshpande 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 0
3 1
4 0
5
ProvDB: Provenance-enabled Lifecycle Management of Collaborative Data Analysis Workflows.
6
6 48
7 14
8 9
9
DataHub: Collaborative Data Science & Dataset Version Management at Scale
77
10 20
11 109
12 27
13
Adaptive query processing: why, how, when, what next?
8
14
Probabilistic graphical models and their role in databases
8
15 119
16
Using Probabilistic Models for Data Management in Acquisitional Environments
61
17 33
18 84
19
TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.breakdown →
649
20
Adaptive Query Processing: Technology in Evolution.
142

About Amol Deshpande

Amol Deshpande is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems and Management, having authored 106 papers that have together received 4.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (50 papers), Advanced Database Systems and Queries (48 papers) and Graph Theory and Algorithms (19 papers). The work is most often cited by research in Signal Processing (2.1k citations), Computer Networks and Communications (3.4k citations) and Artificial Intelligence (1.8k citations). Amol Deshpande has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Samuel Madden, Joseph M. Hellerstein, Wei Hong, Vijayshankar Raman, Prithviraj Sen, Michael J. Franklin, Sirish Chandrasekaran, Mehul A. Shah, Owen Cooper and Sailesh Krishnamurthy. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, SAE technical papers on CD-ROM/SAE technical paper series and Pattern Recognition Letters.

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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