Scott Minneman

1.6k citations
25 papers · 1.1k indexed · h-index 14

Impact in

Papers in

Scott Minneman

25 papers receiving 959 citations

Peers

Scott Minneman
Comparison fields: 5 of 67
  • Human-Computer Interaction 732
  • Information Systems and Management 176
  • Computer Vision and Pattern Recognition 343
  • Architecture 15
  • Computer Science Applications 41
Replace Konrad Tollmar with:
Konrad Tollmar Sweden
William L. Verplank United States
Nitin Sawhney United States
Gerrit C. van der Veer Netherlands
Patrick Chiu United States
Boriana Koleva United Kingdom
Jean-Bernard Martens Netherlands
Rafael Ballagas United States
Pierre Wellner United States
Kris Luyten Belgium
Scott Minneman relative to Konrad Tollmar Sweden Konrad Tollmar's profile →
Citations per field
00.5×3.8×
Konrad Tollmar · 1×
Citations per year

Countries citing papers authored by Scott Minneman

Since Specialization
Citations

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

Fields of papers citing papers by Scott Minneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20037
2 20028
3 200222
4 2001117
5 20002
6
The DrawStream station: a tool for distributed and asynchronous chats about sketches and artifacts
19994
7
Endless beginnings: tales from the road to “now” where?
19991
8 19987
9 19982
10 199854
11 19974
12 199643
13 199584
14 199334
15 1991167
16 1991126
17 199015
18 199077
19 199011
20 19891

About Scott Minneman

Scott Minneman is a scholar working on Architecture, Human-Computer Interaction, General Social Sciences, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Usability and User Interface Design (4 papers), Digital Games and Media (3 papers), Video Analysis and Summarization (3 papers), Multimedia Communication and Technology (3 papers), BIM and Construction Integration (2 papers), Design Education and Practice (2 papers), Augmented Reality Applications (2 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Human-Computer Interaction (732 citations), Information Systems and Management (176 citations), Computer Vision and Pattern Recognition (343 citations), Architecture (15 citations) and Computer Science Applications (41 citations). Scott Minneman has collaborated with scholars based in United States and Canada. Frequent co-authors include John Tang, Sara Bly, Steve Harrison, Don Kimber, Maribeth Back, Jonathan R. Cohen, Rich Gold, Thomas P. Moran, Patrick Chiu and William van Melle. Their work appears in journals such as interactions, ACM Transactions on Information Systems, Computers & Graphics, IEEE Transactions on Circuits and Systems for Video Technology and MIT Press eBooks.

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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