Steven Schmidt

1.5k citations
57 papers · 919 · h-index 21

Impact in

Papers in

Steven Schmidt

55 papers receiving 864 citations

Peers

Steven Schmidt
Comparison fields: 5 of 100
  • Human-Computer Interaction 123
  • Computer Vision and Pattern Recognition 389
  • Signal Processing 114
  • Physical and Theoretical Chemistry 53
  • Computer Networks and Communications 110
Replace Stanley Chen with:
Stanley Chen United States
Gottfried Zimmermann Germany
Michael Krone Germany
S.A. Reiter Germany
Evan M. Peck United States
Xinyang Yu China
Ge Xu China
E. Paxon Frady United States
Saurabh Srivastava India
Youngjun Lee South Korea
Steven Schmidt relative to Stanley Chen United States Stanley Chen's profile →
Citations per field
00.5×8.5×
Stanley Chen · 1×
Citations per year

Countries citing papers authored by Steven Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Steven Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198051
2 201846
3 201845
4 198045
5 197837
6 201333
7 201832
8 197930
9 197830
10 201829
11 197928
12 202028
13 199324
14 201823
15 202023
16 201423
17 201722
18 201822
19 201821
20 202020

About Steven Schmidt

Steven Schmidt is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Sociology and Political Science, Molecular Biology and Signal Processing, having authored 57 papers that have together received 919 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (28 papers), Virtual Reality Applications and Impacts (13 papers), Multimedia Communication and Technology (7 papers), Video Coding and Compression Technologies (6 papers), Visual Attention and Saliency Detection (6 papers), bioluminescence and chemiluminescence research (6 papers), Advanced Image Processing Techniques (5 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Human-Computer Interaction (123 citations), Computer Vision and Pattern Recognition (389 citations), Signal Processing (114 citations), Physical and Theoretical Chemistry (53 citations) and Computer Networks and Communications (110 citations). Steven Schmidt has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Sebastian Möller, Saman Zadtootaghaj, Gary B. Schuster, Maria G. Martini, Nabajeet Barman, Saeed Shafiee Sabet, Carsten Griwodz, Howard E. Zimmerman, Tanja Kojić and Olivier Roy. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry, Multimedia Tools and Applications, The Journal of Physical Chemistry and Photochemistry and Photobiology.

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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