Charles L. Viles
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Ecology
- Signal Processing top 10%
- Artificial Intelligence top 10%
- Co-authors
- James C. FrenchMichael E. SierackiAllison L. PowellJamie CallanKenneth L. WebbMargaret E. ConnellAdam J. FerrariAnh Nguyen‐Tuong
- Topics
- Web Data Mining and Analysis (5 papers)Information Retrieval and Search Behavior (5 papers)Caching and Content Delivery (4 papers)
- Journals
- Applied and Environmental MicrobiologyAmerican Journal of Physiology-Regulatory, Integrative and Comparative PhysiologyInformation Processing & Management
- Partner nations
- United States
In The Last Decade
Charles L. Viles
20 papers receiving 458 citations
Peers
Comparison fields: 5 of 73
- Information Systems 259
- Computer Networks and Communications 191
- Ecology 109
- Signal Processing 101
- Artificial Intelligence 101
Countries citing papers authored by Charles L. Viles
This map shows the geographic impact of Charles L. Viles'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 Charles L. Viles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles L. Viles more than expected).
Fields of papers citing papers by Charles L. Viles
This network shows the impact of papers produced by Charles L. Viles. 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 Charles L. Viles. The network helps show where Charles L. Viles may publish in the future.
Co-authorship network of co-authors of Charles L. Viles
This figure shows the co-authorship network connecting the top 25 collaborators of Charles L. Viles. A scholar is included among the top collaborators of Charles L. Viles 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 Charles L. Viles. Charles L. Viles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 98 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 96 | |
| 6 | 9 | |
| 7 | 55 | |
| 8 | Enabling Flexibility in the Legion Run-Time Library. | 10 |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 37 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 34 | |
| 16 | 54 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 66 |
About Charles L. Viles
Charles L. Viles is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 20 papers that have together received 525 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (5 papers), Information Retrieval and Search Behavior (5 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Information Systems (259 citations), Signal Processing (101 citations) and Computer Networks and Communications (191 citations). Charles L. Viles has collaborated with scholars based in United States. Frequent co-authors include James C. French, Michael E. Sieracki, Allison L. Powell, Jamie Callan, Kenneth L. Webb, Margaret E. Connell, Adam J. Ferrari, Anh Nguyen‐Tuong, Michael Lewis and Andrew Grimshaw. Their work appears in journals such as Applied and Environmental Microbiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Information Processing & Management.
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.