Mark Witkowski

66 papers receiving 855 citations

Peers

Mark Witkowski
Comparison fields: 5 of 132
  • Toxicology 39
  • Health, Toxicology and Mutagenesis 157
  • Human-Computer Interaction 66
  • Food Science 170
  • Analytical Chemistry 85
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Giuseppina Gini Italy
Rommel Barbosa Brazil
Stefan Krämer Germany
Guanhong Tao China
Piotr A. Kowalski Poland
Miguel Ángel Gómez‐Nieto Spain
Masayuki Suzuki Japan
Jordan Cohen United States
Valery Tkachenko United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Witkowski

Since Specialization
Citations

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

Fields of papers citing papers by Mark Witkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008156
2 200553
3 200143
4 201442
5 200139
6 200136
7 201235
8 200631
9 201127
10 201227
11 201925
12 200619
13 200618
14 201418
15 201318
16
Building large composition tables via axiomatic theories
200217
17 200317
18 200817
19 201417
20 201315

About Mark Witkowski

Mark Witkowski is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Public Health, Environmental and Occupational Health and Human-Computer Interaction, having authored 73 papers that have together received 920 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (9 papers), Pharmaceutical Quality and Counterfeiting (8 papers), Logic, Reasoning, and Knowledge (8 papers), Multi-Agent Systems and Negotiation (6 papers), Gaze Tracking and Assistive Technology (6 papers), Constraint Satisfaction and Optimization (5 papers), Identification and Quantification in Food (5 papers) and Pesticide Residue Analysis and Safety (4 papers). The work is most often cited by research in Toxicology (39 citations), Health, Toxicology and Mutagenesis (157 citations), Human-Computer Interaction (66 citations), Food Science (170 citations) and Analytical Chemistry (85 citations). Mark Witkowski has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Murray Shanahan, David Randell, Adam Lanzarotta, Jeremy Pitt, Robert Spence, Alexander Artikis, Chris Melhuish, Robert Spence, Mat­thias Zeller and Walter Cullen. Their work appears in journals such as Journal of Forensic Sciences, Journal of Pharmaceutical and Biomedical Analysis, Bioinspiration & Biomimetics, Adaptive Behavior and Lecture notes in computer science.

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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