P. Pradhan
Impact in
- Hardware and Architecture top 5%
- Network Packet Processing and Optimization
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- Caching and Content Delivery
- Network Traffic and Congestion Control
- Software-Defined Networks and 5G
- Interconnection Networks and Systems
- Network Security and Intrusion Detection
- Peer-to-Peer Network Technologies
Papers in
-
- Network Traffic and Congestion Control 9
- Software-Defined Networks and 5G 4
- Caching and Content Delivery 3
- Peer-to-Peer Network Technologies 3
- Interconnection Networks and Systems 3
- Advanced Authentication Protocols Security 1
-
- Network Packet Processing and Optimization 5
- Co-authors
- Tzi‐cker Chiueh (7 shared papers)Daniel Antunes Maciel Villela (1 shared paper)Dan Rubenstein (1 shared paper)Renu Tewari (1 shared paper)Abhishek Chandra (1 shared paper)Shashank Sahu (1 shared paper)Prashant Shenoy (1 shared paper)Diptikalyan Saha (1 shared paper)
- Journals
- IEEE Network (1 paper)
- Partner nations
- United States
In The Last Decade
P. Pradhan
14 papers receiving 323 citations
Peers
Comparison fields: 5 of 27
- Hardware and Architecture 158
- Computer Networks and Communications 334
- Information Systems 97
- Management Information Systems 18
- Artificial Intelligence 62
Countries citing papers authored by P. Pradhan
This map shows the geographic impact of P. Pradhan'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 P. Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Pradhan more than expected).
Fields of papers citing papers by P. Pradhan
This network shows the impact of papers produced by P. Pradhan. 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 P. Pradhan. The network helps show where P. Pradhan may publish in the future.
Co-authors
The 14 scholars most cited alongside P. Pradhan, 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 | 1999 | 91 | |
| 2 | 2003 | 75 | |
| 3 | 2004 | 47 | |
| 4 | 2002 | 46 | |
| 5 | 2000 | 38 | |
| 6 | 2002 | 21 | |
| 7 | 2004 | 13 | |
| 8 | 2002 | 12 | |
| 9 | 2002 | 7 | |
| 10 | 2003 | 5 | |
| 11 | 2003 | 4 | |
| 12 | 2002 | 2 | |
| 13 | 2004 | 2 | |
| 14 | 2003 | 2 |
About P. Pradhan
P. Pradhan is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Management Information Systems and Sociology and Political Science, having authored 14 papers that have together received 365 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (9 papers), Network Packet Processing and Optimization (5 papers), Software-Defined Networks and 5G (4 papers), Caching and Content Delivery (3 papers), Peer-to-Peer Network Technologies (3 papers), Interconnection Networks and Systems (3 papers), Advanced Authentication Protocols Security (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Hardware and Architecture (158 citations), Computer Networks and Communications (334 citations), Information Systems (97 citations), Management Information Systems (18 citations) and Artificial Intelligence (62 citations). P. Pradhan has collaborated with scholars based in United States. Frequent co-authors include Tzi‐cker Chiueh, Daniel Antunes Maciel Villela, Dan Rubenstein, Renu Tewari, Abhishek Chandra, Shashank Sahu, Prashant Shenoy, Diptikalyan Saha, George Apostolopoulos and V. Peris. Their work appears in journals such as IEEE Network.
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.