David Ediger
Impact in
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- Complex Network Analysis Techniques
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- Graph Theory and Algorithms
Papers in
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- Complex Network Analysis Techniques 11
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- Graph Theory and Algorithms 8
- Co-authors
- David A. Bader (13 shared papers)Jason Riedy (6 shared papers)Karl Jiang (5 shared papers)Courtney D. Corley (1 shared paper)Kamesh Madduri (1 shared paper)Daniel Chavarría-Miranda (1 shared paper)Jason Poovey (3 shared papers)Henning Meyerhenke (2 shared papers)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)The American Journal of Emergency Medicine (1 paper)it - Information Technology (1 paper)Cureus (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
David Ediger
17 papers receiving 528 citations
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 203
- Computer Vision and Pattern Recognition 312
- Hardware and Architecture 79
- Computer Networks and Communications 245
- Information Systems 169
Countries citing papers authored by David Ediger
This map shows the geographic impact of David Ediger'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 David Ediger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ediger more than expected).
Fields of papers citing papers by David Ediger
This network shows the impact of papers produced by David Ediger. 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 David Ediger. The network helps show where David Ediger may publish in the future.
Co-authors
The 16 scholars most cited alongside David Ediger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 142 | |
| 2 | 2010 | 104 | |
| 3 | 2009 | 103 | |
| 4 | 2014 | 58 | |
| 5 | 2010 | 55 | |
| 6 | 2011 | 31 | |
| 7 | 2012 | 18 | |
| 8 | 2009 | 14 | |
| 9 | 2012 | 10 | |
| 10 | 2013 | 7 | |
| 11 | 2013 | 7 | |
| 12 | 2014 | 6 | |
| 13 | 2014 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2011 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2021 | 0 |
About David Ediger
David Ediger is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 19 papers that have together received 565 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Graph Theory and Algorithms (8 papers), Advanced Graph Neural Networks (5 papers), Caching and Content Delivery (3 papers), Cloud Computing and Resource Management (3 papers), Peer-to-Peer Network Technologies (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (203 citations), Computer Vision and Pattern Recognition (312 citations), Hardware and Architecture (79 citations), Computer Networks and Communications (245 citations) and Information Systems (169 citations). David Ediger has collaborated with scholars based in United States and Germany. Frequent co-authors include David A. Bader, Jason Riedy, Karl Jiang, Courtney D. Corley, Kamesh Madduri, Daniel Chavarría-Miranda, Jason Poovey, Henning Meyerhenke, Timothy G. Mattson and Rachel E Bridwell. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, The American Journal of Emergency Medicine, it - Information Technology and Cureus.
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.