Todd C. Torgersen

519 citations
20 papers · 386 · h-index 10

Impact in

Papers in

Todd C. Torgersen

20 papers receiving 343 citations

Peers

Todd C. Torgersen
Comparison fields: 5 of 46
  • Media Technology 222
  • Computer Vision and Pattern Recognition 138
  • Signal Processing 67
  • Biophysics 30
  • Surfaces, Coatings and Films 31
Replace Samuel Pinilla with:
Samuel Pinilla Colombia
Figen S. Öktem Türkiye
Nicolaas Tack Belgium
Christian Perwaß Germany
Kathrin Berkner United States
Bert Geelen Belgium
Seunghwan Yoo United States
Andrzej K. Brodzik United States
Gabriel Y. Sirat France
Mariana S. C. Almeida Portugal
Todd C. Torgersen relative to Samuel Pinilla Colombia Samuel Pinilla's profile →
Citations per field
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Citations per year

Countries citing papers authored by Todd C. Torgersen

Since Specialization
Citations

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

Fields of papers citing papers by Todd C. Torgersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Todd C. Torgersen, 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 Todd C. Torgersen Line = papers co-authored together Todd C. Torgersen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200363
2 199657
3 201645
4 200437
5 200431
6 200430
7 200429
8 200725
9 199722
10 200615
11 20039
12 20078
13 20024
14 20093
15 19962
16 19942
17 19931
18
Algebraic techniques for automatic detection of parallelism
19891
19 20021
20 20081

About Todd C. Torgersen

Todd C. Torgersen is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (7 papers), Optical measurement and interference techniques (5 papers), Advanced Image Fusion Techniques (4 papers), Advanced optical system design (4 papers), Biometric Identification and Security (3 papers), Advanced Image Processing Techniques (3 papers), Adaptive optics and wavefront sensing (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Media Technology (222 citations), Computer Vision and Pattern Recognition (138 citations), Signal Processing (67 citations), Biophysics (30 citations) and Surfaces, Coatings and Films (31 citations). Todd C. Torgersen has collaborated with scholars based in United States and Colombia. Frequent co-authors include V. Paúl Pauca, Robert J. Plemmons, Sudhakar Prasad, Joseph van der Gracht, James G. Nagy, Robert J. Plemmons, Arun Ross, Michael C. King, Edward R. Dowski and Paulo E. X. Silveira. Their work appears in journals such as Publications of the Astronomical Society of the Pacific, Journal of the Optical Society of America A, International Journal of Imaging Systems and Technology, IEEE Transactions on Image Processing and CALCOLO.

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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