Stephen Todd

35 papers receiving 522 citations

Peers

Stephen Todd
Comparison fields: 5 of 104
  • Architecture 28
  • Computer Graphics and Computer-Aided Design 62
  • Computer Vision and Pattern Recognition 247
  • Signal Processing 125
  • Artificial Intelligence 228
Replace Seok-Hee Hong with:
Seok-Hee Hong Australia
Jimmy Secretan United States
Ethan D. Bolker United States
Jon Meyer United States
John Aycock Canada
Adolfo Guzmán Arenas Mexico
Corin R. Anderson United States
Thomas Ottmann Germany
John Howse United Kingdom
Gem Stapleton United Kingdom
Stephen Todd relative to Seok-Hee Hong Australia Seok-Hee Hong's profile →
Citations per field
00.5×9.3×
Seok-Hee Hong · 1×
Citations per year

Countries citing papers authored by Stephen Todd

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Todd, 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 Stephen Todd Line = papers co-authored together Stephen Todd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evolutionary Art and Computers
1992229
2 197666
3 198564
4 197830
5 198122
6 197521
7 198916
8 198315
9 200313
10 198313
11 202013
12 198412
13 198612
14 197511
15 20169
16 19829
17 19868
18 19838
19 19887
20 19916

About Stephen Todd

Stephen Todd is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology and Signal Processing, having authored 37 papers that have together received 623 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (6 papers), Computer Graphics and Visualization Techniques (6 papers), Protein Structure and Dynamics (5 papers), Semantic Web and Ontologies (5 papers), Algorithms and Data Compression (4 papers), 3D Shape Modeling and Analysis (3 papers) and Digital Humanities and Scholarship (3 papers). The work is most often cited by research in Architecture (28 citations), Computer Graphics and Computer-Aided Design (62 citations), Computer Vision and Pattern Recognition (247 citations), Signal Processing (125 citations) and Artificial Intelligence (228 citations). Stephen Todd has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include William Latham, Glen G. Langdon, J. Rissanen, Patrick A. V. Hall, Peter B. Hitchcock, James C. King, Donald R. Slutz, Jane M. Burridge, Bradford W. Wade and Donald D. Chamberlin. Their work appears in journals such as IBM Journal of Research and Development, IBM Systems Journal, Nuclear Physics B, Leonardo and Bioinformatics.

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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