Jake Cobb
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
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- Caching and Content Delivery
- Peer-to-Peer Network Technologies
Papers in
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- Caching and Content Delivery 3
- Advanced Data Storage Technologies 2
- Software System Performance and Reliability 1
- IoT and Edge/Fog Computing 1
- Software 3
- Software Testing and Debugging Techniques 3
- Co-authors
- Hala ElAarag (3 shared papers)David A. Gutman (3 shared papers)Daniel J. Brat (1 shared paper)Yuna Park (1 shared paper)Lee Cooper (1 shared paper)Tahsin Kurç (2 shared papers)Fusheng Wang (1 shared paper)Joel Saltz (2 shared papers)
- Journals
- Journal of Systems and Software (1 paper)Journal of the American Medical Informatics Association (1 paper)Frontiers in Neuroinformatics (1 paper)International Journal of Medical Informatics (1 paper)Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (1 paper)
- Partner nations
- United States
In The Last Decade
Jake Cobb
9 papers receiving 270 citations
Peers
Comparison fields: 5 of 44
- Software 41
- Computer Networks and Communications 104
- Health Informatics 5
- Information Systems 87
- Biophysics 19
Countries citing papers authored by Jake Cobb
This map shows the geographic impact of Jake Cobb'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 Jake Cobb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Cobb more than expected).
Fields of papers citing papers by Jake Cobb
This network shows the impact of papers produced by Jake Cobb. 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 Jake Cobb. The network helps show where Jake Cobb may publish in the future.
Co-authors
The 20 scholars most cited alongside Jake Cobb, 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 | 2013 | 126 | |
| 2 | 2007 | 75 | |
| 3 | 2011 | 24 | |
| 4 | 2011 | 18 | |
| 5 | 2016 | 16 | |
| 6 | 2014 | 8 | |
| 7 | 2012 | 7 | |
| 8 | 2012 | 5 | |
| 9 | TRAINING AND SIMULATION OF NEURAL NETWORKS FOR WEB PROXY CACHE REPLACEMENT | 2006 | 3 |
About Jake Cobb
Jake Cobb is a scholar working on Computer Networks and Communications, Software, Information Systems, Artificial Intelligence and Molecular Biology, having authored 9 papers that have together received 282 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (3 papers), Caching and Content Delivery (3 papers), Advanced Data Storage Technologies (2 papers), Software Engineering Research (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Software System Performance and Reliability (1 paper), IoT and Edge/Fog Computing (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Software (41 citations), Computer Networks and Communications (104 citations), Health Informatics (5 citations), Information Systems (87 citations) and Biophysics (19 citations). Jake Cobb has collaborated with scholars based in United States. Frequent co-authors include Hala ElAarag, David A. Gutman, Daniel J. Brat, Yuna Park, Lee Cooper, Tahsin Kurç, Fusheng Wang, Joel Saltz, Jun Kong and Mary Jean Harrold. Their work appears in journals such as Journal of Systems and Software, Journal of the American Medical Informatics Association, Frontiers in Neuroinformatics, International Journal of Medical Informatics and Scholarworks@UNIST (Ulsan National Institute of Science and Technology).
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.