Daniel Adkins
Impact in
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- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- Opportunistic and Delay-Tolerant Networks
- Network Security and Intrusion Detection
- Network Traffic and Congestion Control
- Mobile Ad Hoc Networks
- Hardware and Architecture top 10%
Papers in
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- Caching and Content Delivery 4
- Peer-to-Peer Network Technologies 4
- Opportunistic and Delay-Tolerant Networks 3
- Network Security and Intrusion Detection 1
- Network Traffic and Congestion Control 1
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- Network Packet Processing and Optimization 1
- Co-authors
- Ion Stoica (5 shared papers)Scott Shenker (3 shared papers)Sonesh Surana (3 shared papers)Shelley Zhuang (3 shared papers)Adrian Perrig (2 shared papers)Karthik Lakshminarayanan (2 shared papers)Sylvia Ratnasamy (1 shared paper)
- Journals
- ACM SIGCOMM Computer Communication Review (2 papers)Lecture notes in computer science (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Adkins
5 papers receiving 567 citations
Daniel Adkins's Hit Papers
Peers
Comparison fields: 5 of 25
- Computer Networks and Communications 676
- Hardware and Architecture 56
- Artificial Intelligence 149
- Signal Processing 41
- Information Systems 50
Countries citing papers authored by Daniel Adkins
This map shows the geographic impact of Daniel Adkins'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 Daniel Adkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Adkins more than expected).
Fields of papers citing papers by Daniel Adkins
This network shows the impact of papers produced by Daniel Adkins. 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 Daniel Adkins. The network helps show where Daniel Adkins may publish in the future.
Co-authors
The 7 scholars most cited alongside Daniel Adkins, 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 | Internet indirection infrastructure Hit paper breakdown → | 2002 | 511 |
| 2 | 2004 | 99 | |
| 3 | 2002 | 53 | |
| 4 | 2002 | 21 | |
| 5 | 2004 | 4 |
About Daniel Adkins
Daniel Adkins is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 688 indexed citations. Recurring topics across this work include Caching and Content Delivery (4 papers), Peer-to-Peer Network Technologies (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Network Security and Intrusion Detection (1 paper), Network Packet Processing and Optimization (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and Network Traffic and Congestion Control (1 paper). The work is most often cited by research in Computer Networks and Communications (676 citations), Hardware and Architecture (56 citations), Artificial Intelligence (149 citations), Signal Processing (41 citations) and Information Systems (50 citations). Daniel Adkins has collaborated with scholars based in United States. Frequent co-authors include Ion Stoica, Scott Shenker, Sonesh Surana, Shelley Zhuang, Adrian Perrig, Karthik Lakshminarayanan and Sylvia Ratnasamy. Their work appears in journals such as ACM SIGCOMM Computer Communication Review and Lecture notes in computer science.
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.