Dilip Kumar Krishnappa

505 citations
15 papers · 321 · h-index 10

Impact in

Papers in

Dilip Kumar Krishnappa

15 papers receiving 313 citations

Peers

Dilip Kumar Krishnappa
Comparison fields: 5 of 35
  • Hardware and Architecture 110
  • Computer Networks and Communications 164
  • Computer Vision and Pattern Recognition 100
  • Signal Processing 46
  • Cellular and Molecular Neuroscience 67
Replace Klaus Kursawe with:
Klaus Kursawe Netherlands
Roel Peeters Belgium
Sergei Skorobogatov United Kingdom
Helena Handschuh France
Keiichi Iwamura Japan
Sheng Wei United States
Nikolaos Athanasios Anagnostopoulos Germany
Fatemeh Tehranipoor United States
Dilip Kumar Krishnappa relative to Klaus Kursawe Netherlands Klaus Kursawe's profile →
Citations per field
00.5×5.3×
Klaus Kursawe · 1×
Citations per year

Countries citing papers authored by Dilip Kumar Krishnappa

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Kumar Krishnappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Dilip Kumar Krishnappa, 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 Dilip Kumar Krishnappa Line = papers co-authored together Dilip Kumar Krishnappa links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201062
2 201555
3 201250
4 201536
5 201329
6 201115
7 201515
8 201315
9 20139
10 20129
11 20138
12 20128
13 20135
14 20113
15 20152

About Dilip Kumar Krishnappa

Dilip Kumar Krishnappa is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 15 papers that have together received 321 indexed citations. Recurring topics across this work include Caching and Content Delivery (10 papers), Peer-to-Peer Network Technologies (6 papers), Cloud Computing and Resource Management (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Image and Video Quality Assessment (3 papers), Green IT and Sustainability (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Hardware and Architecture (110 citations), Computer Networks and Communications (164 citations), Computer Vision and Pattern Recognition (100 citations), Signal Processing (46 citations) and Cellular and Molecular Neuroscience (67 citations). Dilip Kumar Krishnappa has collaborated with scholars based in United States, Norway and India. Frequent co-authors include Michael Zink, Lang Lin, Wayne Burleson, Carsten Griwodz, Pål Halvorsen, Ramesh K. Sitaraman, Dan Holcomb, David Irwin, Eric Lyons and Samamon Khemmarat. Their work appears in journals such as Signal Processing Image Communication, Communications of the ACM, IEEE Transactions on Information Forensics and Security, ACM Transactions on Multimedia Computing Communications and Applications and Computing in Science & Engineering.

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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