John Wenskovitch

619 citations
33 papers · 375 · h-index 11

Impact in

Papers in

John Wenskovitch

32 papers receiving 362 citations

Peers

John Wenskovitch
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 235
  • Information Systems and Management 48
  • Signal Processing 53
  • Human-Computer Interaction 26
  • Artificial Intelligence 151
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Aoyu Wu Hong Kong
Charles D. Stolper United States
Davide Ceneda Austria
Paolo Federico Austria
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Citations per field
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Citations per year

Countries citing papers authored by John Wenskovitch

Since Specialization
Citations

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

Fields of papers citing papers by John Wenskovitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201777
2 202071
3 201824
4 201821
5 201721
6 201916
7 202014
8 201714
9 201413
10 202210
11 202010
12 20209
13 20159
14 20198
15 20188
16 20197
17 20216
18 20144
19 20214
20 20184

About John Wenskovitch

John Wenskovitch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Management, Signal Processing and Health, having authored 33 papers that have together received 375 indexed citations. Recurring topics across this work include Data Visualization and Analytics (19 papers), Scientific Computing and Data Management (6 papers), Data Analysis with R (4 papers), Video Analysis and Summarization (4 papers), Time Series Analysis and Forecasting (4 papers), Human-Automation Interaction and Safety (3 papers), Advanced Clustering Algorithms Research (2 papers) and Occupational Health and Safety Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (235 citations), Information Systems and Management (48 citations), Signal Processing (53 citations), Human-Computer Interaction (26 citations) and Artificial Intelligence (151 citations). John Wenskovitch has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Chris North, Leanna House, Scotland Leman, Naren Ramakrishnan, Remco Chang, Kai Xu, Alvitta Ottley, Marc Streit, Debra M. Wolf and G. Elisabeta Marai. Their work appears in journals such as IEEE Computer Graphics and Applications, IEEE Transactions on Visualization and Computer Graphics, Computer, Behaviour and Information Technology and Visual Informatics.

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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