John E. Wenskovitch
Impact in
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- Data Visualization and Analytics
- Human-Computer Interaction top 10%
- Usability and User Interface Design
- Interactive and Immersive Displays
Papers in
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- Data Visualization and Analytics 25
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- Usability and User Interface Design 3
- Co-authors
- Chris L. North (19 shared papers)Leanna House (7 shared papers)Scotland C. Leman (5 shared papers)Kai Xu (2 shared papers)Remco Chang (2 shared papers)Marc Streit (1 shared paper)Naren Ramakrishnan (1 shared paper)Alvitta Ottley (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)IEEE Computer Graphics and Applications (2 papers)BMC Bioinformatics (1 paper)Frontiers in Big Data (1 paper)Computer (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John E. Wenskovitch
35 papers receiving 449 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 318
- Human-Computer Interaction 30
- Information Systems and Management 16
- Artificial Intelligence 56
- Computer Science Applications 7
Countries citing papers authored by John E. Wenskovitch
This map shows the geographic impact of John E. 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 E. 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 E. Wenskovitch more than expected).
Fields of papers citing papers by John E. Wenskovitch
This network shows the impact of papers produced by John E. 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 E. Wenskovitch. The network helps show where John E. Wenskovitch may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Wenskovitch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 84 | |
| 2 | 2020 | 83 | |
| 3 | 2018 | 30 | |
| 4 | 2017 | 26 | |
| 5 | 2018 | 26 | |
| 6 | 2017 | 17 | |
| 7 | 2019 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2014 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2018 | 7 | |
| 20 | 2019 | 6 |
About John E. Wenskovitch
John E. Wenskovitch is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Social Psychology, Health and Occupational Therapy, having authored 37 papers that have together received 460 indexed citations. Recurring topics across this work include Data Visualization and Analytics (25 papers), Human-Automation Interaction and Safety (5 papers), Usability and User Interface Design (3 papers), Social Media in Health Education (2 papers), Occupational Health and Safety in Workplaces (2 papers), Scientific Computing and Data Management (2 papers), Workplace Health and Well-being (1 paper) and Power System Reliability and Maintenance (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (318 citations), Human-Computer Interaction (30 citations), Information Systems and Management (16 citations), Artificial Intelligence (56 citations) and Computer Science Applications (7 citations). John E. Wenskovitch has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Chris L. North, Leanna House, Scotland C. Leman, Kai Xu, Remco Chang, Marc Streit, Naren Ramakrishnan, Alvitta Ottley, Debra M. Wolf and G. Elisabeta Marai. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, BMC Bioinformatics, Frontiers in Big Data and Computer.
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.