Simeon Simoff

3.0k citations
143 papers · 1.3k · h-index 19

Impact in

Papers in

Simeon Simoff

133 papers receiving 1.2k citations

Peers

Simeon Simoff
Comparison fields: 5 of 123
  • Human-Computer Interaction 180
  • Computer Vision and Pattern Recognition 290
  • Artificial Intelligence 432
  • Information Systems 265
  • Architecture 17
Replace Mark d’Inverno with:
Mark d’Inverno United Kingdom
Ji Han United Kingdom
Hideaki Takeda Japan
John David N. Dionisio United States
Ralf Klamma Germany
Daniela Fogli Italy
Christian Guetl Austria
Barry G. Silverman United States
Francesco Colace Italy
Shyan‐Ming Yuan Taiwan
Simeon Simoff relative to Mark d’Inverno United Kingdom Mark d’Inverno's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simeon Simoff

Since Specialization
Citations

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

Fields of papers citing papers by Simeon Simoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007122
2 200077
3 200660
4 200059
5 200642
6 200841
7 202138
8 200537
9
Ontology-Based Multimedia Data Mining for Design Information Retrieval
199834
10 200629
11 201029
12 201028
13
An Experimental Study of Computer Mediated Collaborative Design
199724
14 201623
15 200222
16 200121
17 202220
18 202020
19 201618
20 202017

About Simeon Simoff

Simeon Simoff is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Human-Computer Interaction and Sociology and Political Science, having authored 143 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (21 papers), Multi-Agent Systems and Negotiation (17 papers), Semantic Web and Ontologies (12 papers), Data Management and Algorithms (10 papers), Image Retrieval and Classification Techniques (9 papers), Artificial Intelligence in Games (8 papers), Virtual Reality Applications and Impacts (8 papers) and Business Process Modeling and Analysis (7 papers). The work is most often cited by research in Human-Computer Interaction (180 citations), Computer Vision and Pattern Recognition (290 citations), Artificial Intelligence (432 citations), Information Systems (265 citations) and Architecture (17 citations). Simeon Simoff has collaborated with scholars based in Australia, Spain and Sri Lanka. Frequent co-authors include Mary Lou Maher, John Debenham, Anton Bogdanovych, Silvana Aciar, Mary Lou Maher, Quang Vinh Nguyễn, Fay Sudweeks, Carles Sierra, Mao Lin Huang and Graham Williams. Their work appears in journals such as Applied Sciences, Journal of Visual Languages & Computing, Scientometrics, Virtual Reality and BMC Medical Informatics and Decision Making.

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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