Dheevatsa Mudigere

2.9k total citations
21 papers, 469 citations indexed

About

Dheevatsa Mudigere is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Dheevatsa Mudigere has authored 21 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Dheevatsa Mudigere's work include Recommender Systems and Techniques (5 papers), Caching and Content Delivery (4 papers) and Advanced Data Storage Technologies (3 papers). Dheevatsa Mudigere is often cited by papers focused on Recommender Systems and Techniques (5 papers), Caching and Content Delivery (4 papers) and Advanced Data Storage Technologies (3 papers). Dheevatsa Mudigere collaborates with scholars based in United States, India and United Kingdom. Dheevatsa Mudigere's co-authors include S. N. Omkar, G. Narayana Naik, Mikhail Smelyanskiy, S. Gopalakrishnan, Maxim Naumov, S.N. Omkar, Pradeep Dubey, Mark Hempstead, Andrey Malevich and Kim Hazelwood and has published in prestigious journals such as Physical Review Letters, Expert Systems with Applications and Computers & Structures.

In The Last Decade

Dheevatsa Mudigere

19 papers receiving 443 citations

Peers

Dheevatsa Mudigere
Comparison fields: 5 of 70
  • Artificial Intelligence 142
  • Computer Networks and Communications 125
  • Information Systems 102
  • Computer Vision and Pattern Recognition 84
  • Hardware and Architecture 71
Replace Bowen Zheng with:
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Elio D. Di Claudio Italy
Cajetan M. Akujuobi United States
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Bowen Zheng China View profile →
Citations per field, relative to Dheevatsa Mudigere
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Citations per year, relative to Dheevatsa Mudigere
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Countries citing papers authored by Dheevatsa Mudigere

Since Specialization
Citations

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

Fields of papers citing papers by Dheevatsa Mudigere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dheevatsa Mudigere

This figure shows the co-authorship network connecting the top 25 collaborators of Dheevatsa Mudigere. A scholar is included among the top collaborators of Dheevatsa Mudigere 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 Dheevatsa Mudigere. Dheevatsa Mudigere 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
# Work Indexed citations
1 11
2 8
3 0
4 26
5 145
6 6
7 5
8
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
15
9
Distributed Hessian-Free Optimization for Deep Neural Network.
2
10 13
11 3
12 21
13 20
14 8
15 17
16 33
17 83
18 4
19
Posture assessment using ImageJ
0
20 16

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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