Kunal Srivastava

554 citations
9 papers · 328 indexed · h-index 8
Topics
Distributed Control Multi-Agent Systems (4 papers)User Authentication and Security Systems (2 papers)Energy Efficient Wireless Sensor Networks (2 papers)
Journals
IEEE Internet of Things JournalIEEE Journal of Selected Topics in Signal ProcessingIllinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)

In The Last Decade

Kunal Srivastava

9 papers receiving 309 citations

Peers

Kunal Srivastava
Comparison fields: 5 of 46
  • Computer Networks and Communications 259
  • Artificial Intelligence 94
  • Computational Mechanics 72
  • Public Health, Environmental and Occupational Health 37
  • Electrical and Electronic Engineering 34
Replace Van Sy with:
Van Sy United States
Chenguang Xi United States
Soomin Lee United States
Symeon Chouvardas Greece
Omid Namvar Gharehshiran Canada
SaiDhiraj Amuru India
Roberto Pagliari United States
Kunal Srivastava relative to Van Sy United States Van Sy's profile →
Citations per field
00.5×11.5×
Van Sy · 1×
Citations per year

Countries citing papers authored by Kunal Srivastava

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Srivastava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunal Srivastava

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 17
2 11
3 8
4
Distributed optimization with applications to sensor networks and machine learning
4
5 14
6 230
7 16
8 18
9 10

About Kunal Srivastava

Kunal Srivastava is a scholar working on Computer Networks and Communications, Signal Processing and Human-Computer Interaction, having authored 9 papers that have together received 328 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (4 papers), User Authentication and Security Systems (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (259 citations), Computational Mechanics (72 citations) and Artificial Intelligence (94 citations). Kunal Srivastava has collaborated with scholars based in United States, Ireland and Finland. Frequent co-authors include Angelia Nedić, Dušan M. Stipanović, Mark W. Spong, Devu Manikantan Shila, Amit Surana and Kishore Reddy. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Journal of Selected Topics in Signal Processing and Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign).

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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