Kevin Shaw

30 papers receiving 234 citations

Peers

Kevin Shaw
Comparison fields: 5 of 44
  • Geography, Planning and Development 119
  • Signal Processing 156
  • Ocean Engineering 67
  • Environmental Engineering 40
  • Computer Networks and Communications 59
Replace Maria A. Cobb with:
Maria A. Cobb United States
Ching-Chien Chen United States
Thomas Devogèle France
Anne Ruas France
Sébastien Mustière France
Nicolas Regnauld United Kingdom
Theodor Foerster Germany
Steven Zoraster United States
Konstantina Bereta Greece
Boyan Brodaric Canada
Kevin Shaw relative to Maria A. Cobb United States Maria A. Cobb's profile →
Citations per field
00.5×1.5×2.5×
Maria A. Cobb · 1×
Citations per year

Countries citing papers authored by Kevin Shaw

Since Specialization
Citations

This map shows the geographic impact of Kevin Shaw'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 Kevin Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Shaw more than expected).

Fields of papers citing papers by Kevin Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Shaw. 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 Kevin Shaw. The network helps show where Kevin Shaw may publish in the future.

Co-authors

The 20 scholars most cited alongside Kevin Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kevin Shaw Line = papers co-authored together Kevin Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998101
2 200223
3 200617
4 200215
5 200014
6 200713
7 199813
8 20077
9 20206
10 20075
11 20005
12 20014
13 20024
14 20154
15 20024
16 20064
17 19993
18 20043
19 19973
20 19962

About Kevin Shaw

Kevin Shaw is a scholar working on Signal Processing, Computer Networks and Communications, Geography, Planning and Development, Information Systems and Artificial Intelligence, having authored 33 papers that have together received 262 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Advanced Database Systems and Queries (13 papers), Geographic Information Systems Studies (13 papers), Advanced Computational Techniques and Applications (6 papers), Service-Oriented Architecture and Web Services (5 papers), Remote Sensing and LiDAR Applications (3 papers), Constraint Satisfaction and Optimization (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Geography, Planning and Development (119 citations), Signal Processing (156 citations), Ocean Engineering (67 citations), Environmental Engineering (40 citations) and Computer Networks and Communications (59 citations). Kevin Shaw has collaborated with scholars based in United States, France and British Virgin Islands. Frequent co-authors include Maria A. Cobb, Frederick E. Petry, Mahdi Abdelguerfi, Roy Ladner, Ruth Wilson, Jay Ratcliff, Huiqing Yang, Olivier Tabone, Philip Moore and Philipp Lang. Their work appears in journals such as Computer, IEEE Internet Computing, Computing in Science & Engineering, GeoInformatica and Journal of Visual Languages & Computing.

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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