Utkarsh Srivastava

6.2k citations
43 papers · 3.5k indexed · 2 hit papers · h-index 20

Utkarsh Srivastava

41 papers receiving 3.2k citations

Hit Papers

Pig latin2008202620142020200820082505007501000

Peers

Utkarsh Srivastava
Comparison fields: 5 of 84
  • Computer Networks and Communications 2.9k
  • Information Systems 2.0k
  • Artificial Intelligence 838
  • Signal Processing 825
  • Computer Vision and Pattern Recognition 432
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Citations per field
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Citations per year

Countries citing papers authored by Utkarsh Srivastava

Since Specialization
Citations

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

Fields of papers citing papers by Utkarsh Srivastava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utkarsh Srivastava

This figure shows the co-authorship network connecting the top 25 collaborators of Utkarsh Srivastava. A scholar is included among the top collaborators of Utkarsh Srivastava 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 Utkarsh Srivastava. Utkarsh Srivastava 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 3
2 1
3 0
4 4
5 3
6 1
7 1
8 3
9
The Effect of Image Choice on Airbnb Reservations: A Combination of Deep Learning and Econometric Analysis
1
10 3
11 95
12
Challenges, Techniques and Directions in Building XSeek: an XML Search Engine.
31
13 41
14
Automatic optimization of parallel dataflow programs
48
15 30
16 105
17
Two Can Keep a Secret: A Distributed Architecture for Secure Database Services
134
18
Consistently estimating the selectivity of conjuncts of predicates
28
19
Enabling Privacy for the Paranoids
6
20
STREAM: The Stanford Stream Data Manager.
253

About Utkarsh Srivastava

Utkarsh Srivastava is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 43 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (17 papers), Data Management and Algorithms (11 papers) and Phase Change Materials Research (10 papers). The work is most often cited by research in Computer Networks and Communications (2.9k citations), Information Systems (2.0k citations) and Signal Processing (825 citations). Utkarsh Srivastava has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Christopher Olston, Benjamin Reed, Andrew Tomkins, Ravi Kumar, Jennifer Widom, Adam Silberstein, Kamesh Munagala, Brian F. Cooper, Raghu Ramakrishnan and Ramana Yerneni. Their work appears in journals such as Applied Thermal Engineering, Journal of the Association for Information Systems and Proceedings of the VLDB Endowment.

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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