Charles L. Viles

23 total papers · 719 total citations
20 papers, 525 citations indexed

About

Charles L. Viles is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Charles L. Viles has authored 20 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Charles L. Viles's work include Web Data Mining and Analysis (5 papers), Information Retrieval and Search Behavior (5 papers) and Caching and Content Delivery (4 papers). Charles L. Viles is often cited by papers focused on Web Data Mining and Analysis (5 papers), Information Retrieval and Search Behavior (5 papers) and Caching and Content Delivery (4 papers). Charles L. Viles collaborates with scholars based in United States. Charles L. Viles's co-authors include James C. French, Michael E. Sieracki, Allison L. Powell, Jamie Callan, Kenneth L. Webb, Margaret E. Connell, Anh Nguyen‐Tuong, Andrew Grimshaw, Michael Lewis and Adam J. Ferrari and has published in prestigious journals such as Applied and Environmental Microbiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Information Processing & Management.

In The Last Decade

Charles L. Viles

20 papers receiving 458 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Charles L. Viles 259 191 109 101 101 20 525
Darren Hardy 174 0.7× 228 1.2× 85 0.8× 74 0.7× 113 1.1× 15 539
John Graybeal 160 0.6× 83 0.4× 13 0.1× 42 0.4× 246 2.4× 40 506
Richard M. Low 129 0.5× 228 1.2× 103 0.9× 271 2.7× 153 1.5× 36 566
Dong-Soo Ha 57 0.2× 110 0.6× 52 0.5× 15 0.1× 39 0.4× 17 503
Jørgen Lindskov Knudsen 124 0.5× 105 0.5× 67 0.6× 24 0.2× 158 1.6× 30 499
Tanu Malik 193 0.7× 290 1.5× 13 0.1× 122 1.2× 101 1.0× 65 516
Feng Zhang 230 0.9× 64 0.3× 16 0.1× 37 0.4× 197 2.0× 30 491
John Patchett 16 0.1× 125 0.7× 37 0.3× 23 0.2× 57 0.6× 24 450
Christopher Kellogg 245 0.9× 322 1.7× 17 0.2× 59 0.6× 115 1.1× 9 456
Kamalika Das 52 0.2× 73 0.4× 67 0.6× 46 0.5× 218 2.2× 33 451

Countries citing papers authored by Charles L. Viles

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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