Jim Challenger

913 total citations
15 papers, 576 citations indexed

About

Jim Challenger is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Jim Challenger has authored 15 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 10 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Jim Challenger's work include Cloud Computing and Resource Management (7 papers), Caching and Content Delivery (7 papers) and Distributed systems and fault tolerance (6 papers). Jim Challenger is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Caching and Content Delivery (7 papers) and Distributed systems and fault tolerance (6 papers). Jim Challenger collaborates with scholars based in United States. Jim Challenger's co-authors include Arun Iyengar, Paul Dantzig, Li Zhang, Mark S. Squillante, James R. Giles, Gabriela Jacques-Silva, Shudong Jin and Lionel M. Ni and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Journal of Systems and Software and IEEE Internet Computing.

In The Last Decade

Jim Challenger

15 papers receiving 498 citations

Peers

Jim Challenger

CNC

IS

AI

HA

EEE

Paul Dantzig United States

Anindya Neogi India

Kostas Magoutis Greece

Joni da Silva Fraga Brazil

James Cowling United States

P. Phaal United States

Jian Yin United States

Luís Moura Silva Portugal

Wolfgang Theilmann Germany

T.T. Kwan United States

Paul Dantzig United States

Jim Challenger

338 ×0.6

CNC

157 ×0.6

IS

29 ×0.7

AI

16 ×0.5

HA

22 ×0.7

EEE

Citations per year, relative to Jim Challenger Jim Challenger (= 1×) peers Paul Dantzig

Countries citing papers authored by Jim Challenger

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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15 of 15 papers shown

1.

Challenger, Jim & Arun Iyengar. (2010). Distributed Cache Manager and API. 2 indexed citations

2.

Jacques-Silva, Gabriela, et al.. (2008). Self healing in System-S. Cluster Computing. 11(3). 247–257. 3 indexed citations

3.

Jacques-Silva, Gabriela, et al.. (2007). Towards Autonomic Fault Recovery in System-S. 31–31. 24 indexed citations

4.

Challenger, Jim, et al.. (2005). A fragment-based approach for efficiently creating dynamic web content. ACM Transactions on Internet Technology. 5(2). 359–389. 18 indexed citations

5.

Challenger, Jim, Paul Dantzig, Arun Iyengar, Mark S. Squillante, & Li Zhang. (2004). Efficiently Serving Dynamic Data at Highly Accessed Web Sites. IEEE/ACM Transactions on Networking. 12(2). 233–246. 36 indexed citations

6.

Iyengar, Arun, Shudong Jin, & Jim Challenger. (2003). Techniques for efficiently allocating persistent storage. Journal of Systems and Software. 68(2). 85–102. 2 indexed citations

7.

Challenger, Jim, et al.. (2002). A publishing system for efficiently creating dynamic Web content. 2. 844–853. 65 indexed citations

8.

Dantzig, Paul, et al.. (2002). A distributed web server and its performance analysis on multiple platforms. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 665–672. 5 indexed citations

9.

Iyengar, Arun, Shudong Jin, & Jim Challenger. (2001). Efficient Algorithms for Persistent Storage Allocation. 85–85. 6 indexed citations

10.

Iyengar, Arun, et al.. (2000). High performance Web site design techniques. IEEE Internet Computing. 4(2). 17–26. 71 indexed citations

11.

Challenger, Jim, Arun Iyengar, & Paul Dantzig. (1999). A scalable system for consistently caching dynamic Web data. 294–303 vol.1. 157 indexed citations

12.

Challenger, Jim, Paul Dantzig, & Arun Iyengar. (1998). A Scalable and Highly Available System for Serving Dynamic Data at Frequently Accessed Web Sites. Conference on High Performance Computing (Supercomputing). 1–30. 43 indexed citations

13.

Challenger, Jim, Paul Dantzig, & Arun Iyengar. (1998). A Scalable and Highly Available System for Serving Dynamic Data at Frequently Accessed Web Sites. 47–47. 25 indexed citations

14.

Iyengar, Arun & Jim Challenger. (1997). Improving web server performance by caching dynamic data. 5–5. 118 indexed citations

15.

Dantzig, Paul, et al.. (1996). A Distributed Scalable Web Server and Its Program Visualization in Multiple Platforms.. International Conference on Distributed Computing Systems. 665–672. 1 indexed citations

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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