K. Ashwin Kumar

408 citations
10 papers · 271 · h-index 7

Impact in

    • Advanced Data Storage Technologies
    • Advanced Database Systems and Queries
    • Caching and Content Delivery
    • Distributed systems and fault tolerance
    • IoT and Edge/Fog Computing
    • Cloud Computing and Resource Management

Papers in

K. Ashwin Kumar

10 papers receiving 264 citations

Peers

K. Ashwin Kumar
Comparison fields: 5 of 41
  • Computer Networks and Communications 210
  • Information Systems 145
  • Signal Processing 40
  • Hardware and Architecture 19
  • Computer Vision and Pattern Recognition 49
Replace Vijay Dialani with:
Vijay Dialani United States
Jeff Shute United States
Jonas Traub Germany
Michael S. Kester United States
Nhan Nguyen United States
Philipp Unterbrunner Switzerland
Mohan Yang United States
Franck Morvan France
Thierry Cruanes United States
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Citations per field
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Citations per year

Countries citing papers authored by K. Ashwin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Ashwin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Ashwin Kumar. 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 K. Ashwin Kumar. The network helps show where K. Ashwin Kumar may publish in the future.

Co-authors

The 22 scholars most cited alongside K. Ashwin Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Ashwin Kumar Line = papers co-authored together K. Ashwin Kumar links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201389
2 201464
3 200833
4 201824
5 200821
6 200918
7 201314
8 20146
9
Environmental Monitoring 2.0 (Demonstration)
20091
10 20171

About K. Ashwin Kumar

K. Ashwin Kumar is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Geology and Statistical and Nonlinear Physics, having authored 10 papers that have together received 271 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Advanced Data Storage Technologies (4 papers), Graph Theory and Algorithms (3 papers), Environmental Monitoring and Data Management (2 papers), Distributed systems and fault tolerance (2 papers), Caching and Content Delivery (2 papers), Spam and Phishing Detection (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Computer Networks and Communications (210 citations), Information Systems (145 citations), Signal Processing (40 citations), Hardware and Architecture (19 citations) and Computer Vision and Pattern Recognition (49 citations). K. Ashwin Kumar has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Amol Deshpande, Abdul Quamar, Samir Khuller, Petros Efstathopoulos, Sebastian Michel, Karl Aberer, Michael Lehning, Wilfried N. Gansterer, Andreas Janecek and Jimmy Lin. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, Proceedings - International Conference on Data Engineering, Movebank and DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research).

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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