Thomas G. Zimmerman

1.2k citations
20 papers · 780 indexed · h-index 9

Thomas G. Zimmerman

18 papers receiving 671 citations

Peers

Thomas G. Zimmerman
Comparison fields: 5 of 90
  • Human-Computer Interaction 455
  • Computer Vision and Pattern Recognition 251
  • Cognitive Neuroscience 226
  • Control and Systems Engineering 111
  • Biomedical Engineering 168
Replace Tsutomu Terada with:
Tsutomu Terada Japan
Jiayang Liu China
Hui-Shyong Yeo United Kingdom
Chuck Blanchard
Masahiko Tsukamoto Japan
Raphael Wimmer Germany
Young Harvill
Ke Huo United States
Christoph W. Borst United States
João Marcelo Teixeira Brazil
Thomas G. Zimmerman relative to Tsutomu Terada Japan Tsutomu Terada's profile →
Citations per field
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Tsutomu Terada · 1×
Citations per year

Countries citing papers authored by Thomas G. Zimmerman

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Zimmerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas G. Zimmerman. 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 Thomas G. Zimmerman. The network helps show where Thomas G. Zimmerman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20211
3 202035
4 20156
5
Common questions about Barrett esophagus.
201411
6 201117
7 20110
8 20101
9 200810
10 20081
11 20083
12 20076
13 20072
14 20066
15 20048
16 199939
17 1995194
18 198646
19 1986128
20 1986265

About Thomas G. Zimmerman

Thomas G. Zimmerman is a scholar working on Human-Computer Interaction, Biophysics and Media Technology, having authored 20 papers that have together received 780 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Context-Aware Activity Recognition Systems (3 papers), Hand Gesture Recognition Systems (3 papers), Digital Holography and Microscopy (2 papers), Image Processing Techniques and Applications (2 papers), Cell Image Analysis Techniques (2 papers), ECG Monitoring and Analysis (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Human-Computer Interaction (455 citations), Computer Vision and Pattern Recognition (251 citations) and Cognitive Neuroscience (226 citations). Thomas G. Zimmerman has collaborated with scholars based in United States and Israel. Frequent co-authors include Chuck Blanchard, Steve Bryson, Jaron Lanier, Young Harvill, Joseph A. Paradiso, Joshua R. Smith, Neil Gershenfeld, Vito Paolo Pastore, Sujoy Biswas and Simone Bianco. Their work appears in journals such as Scientific Reports, The Analyst and IEEE Pervasive 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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