L.V. Tsap

758 citations
27 papers · 512 · h-index 11

Impact in

Papers in

L.V. Tsap

26 papers receiving 476 citations

Peers

L.V. Tsap
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 335
  • Human-Computer Interaction 78
  • Dermatology 71
  • Rehabilitation 43
  • Computer Graphics and Computer-Aided Design 20
Replace Kenkichi Yamamoto with:
Kenkichi Yamamoto Japan
Soonchul Kwon South Korea
Michael Boelstoft Holte Denmark
Ji‐Sang Yoo South Korea
Hiroyuki Ukida Japan
Sylvie Treuillet France
Raúl E. Sánchez-Yáñez Mexico
Yifan Xia China
Yonggen Ling China
R. Safaee‐Rad Canada
L.V. Tsap relative to Kenkichi Yamamoto Japan Kenkichi Yamamoto's profile →
Citations per field
00.5×7.2×
Kenkichi Yamamoto · 1×
Citations per year

Countries citing papers authored by L.V. Tsap

Since Specialization
Citations

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

Fields of papers citing papers by L.V. Tsap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.V. Tsap. 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 L.V. Tsap. The network helps show where L.V. Tsap may publish in the future.

Co-authors

The 12 scholars most cited alongside L.V. Tsap, 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 L.V. Tsap Line = papers co-authored together L.V. Tsap links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003111
2 199983
3 200453
4 200050
5 200440
6 200736
7 199829
8 199824
9 200110
10 200410
11 199910
12 20029
13 20079
14 20028
15 20025
16 20024
17 20024
18 20023
19 20022
20 20002

About L.V. Tsap

L.V. Tsap is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction, Biophysics and Aerospace Engineering, having authored 27 papers that have together received 512 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (9 papers), Advanced Vision and Imaging (8 papers), Human Pose and Action Recognition (7 papers), 3D Shape Modeling and Analysis (6 papers), Hand Gesture Recognition Systems (6 papers), Medical Image Segmentation Techniques (5 papers), Cell Image Analysis Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (335 citations), Human-Computer Interaction (78 citations), Dermatology (71 citations), Rehabilitation (43 citations) and Computer Graphics and Computer-Aided Design (20 citations). L.V. Tsap has collaborated with scholars based in United States. Frequent co-authors include Min Chul Shin, Sudeep Sarkar, Dmitry B. Goldgof, Kao-Hua Chang, Pauline S. Powers, Wen‐Chen Huang, Zhang Yon, Muhammad Adeel Zaffar, Yong Zhang and Yong Zhang. Their work appears in journals such as Image and Vision Computing, Computer Vision and Image Understanding, Digital Signal Processing, IEEE Transactions on Image Processing and Pattern Recognition.

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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