C. Mic Bowman
Impact in
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- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Information Systems top 5%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
Papers in
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- Caching and Content Delivery 2
- Peer-to-Peer Network Technologies 1
- Distributed and Parallel Computing Systems 1
- Advanced Database Systems and Queries 1
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- Web Data Mining and Analysis 1
- Service-Oriented Architecture and Web Services 1
- Co-authors
- Peter B. Danzig (2 shared papers)Udi Manber (2 shared papers)Michael F. Schwartz (2 shared papers)Darren Hardy (1 shared paper)Francis Chang (1 shared paper)Wu‐chi Feng (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Computer Networks and ISDN Systems (1 paper)PDXScholar (Portland State University) (1 paper)
- Partner nations
- United States
In The Last Decade
C. Mic Bowman
3 papers receiving 378 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 260
- Information Systems 230
- Signal Processing 65
- Artificial Intelligence 146
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by C. Mic Bowman
This map shows the geographic impact of C. Mic Bowman'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 C. Mic Bowman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Mic Bowman more than expected).
Fields of papers citing papers by C. Mic Bowman
This network shows the impact of papers produced by C. Mic Bowman. 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 C. Mic Bowman. The network helps show where C. Mic Bowman may publish in the future.
Co-authors
The 6 scholars most cited alongside C. Mic Bowman, 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 | 1995 | 287 | |
| 2 | 1994 | 141 | |
| 3 | XPU: A Distributed Architecture for Metaverses | 2010 | 6 |
About C. Mic Bowman
C. Mic Bowman is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Artificial Intelligence and Infectious Diseases, having authored 3 papers that have together received 434 indexed citations. Recurring topics across this work include Caching and Content Delivery (2 papers), Scientific Computing and Data Management (1 paper), Peer-to-Peer Network Technologies (1 paper), Distributed and Parallel Computing Systems (1 paper), Advanced Database Systems and Queries (1 paper), Web Data Mining and Analysis (1 paper), Algorithms and Data Compression (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Computer Networks and Communications (260 citations), Information Systems (230 citations), Signal Processing (65 citations), Artificial Intelligence (146 citations) and Computer Vision and Pattern Recognition (47 citations). C. Mic Bowman has collaborated with scholars based in United States. Frequent co-authors include Peter B. Danzig, Udi Manber, Michael F. Schwartz, Darren Hardy, Francis Chang and Wu‐chi Feng. Their work appears in journals such as Communications of the ACM, Computer Networks and ISDN Systems and PDXScholar (Portland State University).
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.