Jim Challenger
- Computer Networks and Communications top 2%
- Information Systems top 5%
- Artificial Intelligence
- Hardware and Architecture top 10%
- Electrical and Electronic Engineering
- Co-authors
- Arun IyengarPaul DantzigLi ZhangMark S. SquillanteJames R. GilesGabriela Jacques-SilvaShudong JinLionel M. Ni
- Topics
- Cloud Computing and Resource Management (7 papers)Caching and Content Delivery (7 papers)Distributed systems and fault tolerance (6 papers)
- Partner nations
- United States
In The Last Decade
Jim Challenger
15 papers receiving 498 citations
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 541
- Information Systems 247
- Artificial Intelligence 44
- Hardware and Architecture 34
- Electrical and Electronic Engineering 30
Countries citing papers authored by Jim Challenger
This map shows the geographic impact of Jim Challenger'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 Jim Challenger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Challenger more than expected).
Fields of papers citing papers by Jim Challenger
This network shows the impact of papers produced by Jim Challenger. 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 Jim Challenger. The network helps show where Jim Challenger may publish in the future.
Co-authorship network of co-authors of Jim Challenger
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Challenger. A scholar is included among the top collaborators of Jim Challenger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jim Challenger. Jim Challenger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Distributed Cache Manager and API | 2 |
| 2 | 3 | |
| 3 | 24 | |
| 4 | 18 | |
| 5 | 36 | |
| 6 | 2 | |
| 7 | 65 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 71 | |
| 11 | 157 | |
| 12 | 43 | |
| 13 | 25 | |
| 14 | Improving web server performance by caching dynamic data | 118 |
| 15 | A Distributed Scalable Web Server and Its Program Visualization in Multiple Platforms. | 1 |
About Jim Challenger
Jim Challenger is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 15 papers that have together received 576 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Caching and Content Delivery (7 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Computer Networks and Communications (541 citations), Information Systems (247 citations) and Hardware and Architecture (34 citations). Jim Challenger has collaborated with scholars based in United States. Frequent co-authors include Arun Iyengar, Paul Dantzig, Li Zhang, Mark S. Squillante, James R. Giles, Gabriela Jacques-Silva, Shudong Jin and Lionel M. Ni. Their work appears in journals such as IEEE/ACM Transactions on Networking, Journal of Systems and Software and IEEE Internet Computing.
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.