Christopher Kommareddy

2.3k citations
11 papers · 1.6k · 1 hit paper · h-index 9

Impact in

Papers in

Christopher Kommareddy

11 papers receiving 1.4k citations

Christopher Kommareddy's Hit Papers

Scalable application layer multicast 2002 · 998 citations
9980+8+16Years since publication250500750

Peers

Christopher Kommareddy
Comparison fields: 5 of 40
  • Computer Networks and Communications 1.5k
  • Computer Vision and Pattern Recognition 169
  • Signal Processing 81
  • Sociology and Political Science 313
  • Information Systems 64
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Countries citing papers authored by Christopher Kommareddy

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Kommareddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Christopher Kommareddy, 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 Christopher Kommareddy Line = papers co-authored together Christopher Kommareddy links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Scalable application layer multicast
Hit paper breakdown →
2002998
2 2003256
3 2002111
4 200549
5 200239
6 200427
7 200525
8 200225
9 200318
10
Rover Technology: Enabling Scalable Location-Aware Computing
20025
11
Intradomain Overlays: Architecture and Applications
20032

About Christopher Kommareddy

Christopher Kommareddy is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (8 papers), Caching and Content Delivery (6 papers), Network Traffic and Congestion Control (4 papers), Context-Aware Activity Recognition Systems (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Mobile Agent-Based Network Management (2 papers) and Mobile Ad Hoc Networks (1 paper). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Computer Vision and Pattern Recognition (169 citations), Signal Processing (81 citations), Sociology and Political Science (313 citations) and Information Systems (64 citations). Christopher Kommareddy has collaborated with scholars based in United States. Frequent co-authors include Bobby Bhattacharjee, Suman Banerjee, Samir Khuller, Koushik Kar, Sujata Banerjee, Suman Banerjee, N. Sai Shankar, Mark A. Shayman, Richard J. La and Abou‐Bakr M. Youssef. Their work appears in journals such as Computer, ACM SIGCOMM Computer Communication Review, Computer Networks and Digital Repository at the University of Maryland (University of Maryland College Park).

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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