Mark Dunn
Impact in
- Medical Laboratory Technology top 10%
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- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
Papers in
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- Mining Techniques and Economics 4
- Traffic control and management 3
- Co-authors
- J. Ralston (6 shared papers)D. Reid (7 shared papers)Chad Hargrave (2 shared papers)Christian Goerick (9 shared papers)David W. Hainsworth (2 shared papers)Bram Bolder (7 shared papers)Michael Gienger (4 shared papers)H. Janßen (4 shared papers)
In The Last Decade
Mark Dunn
37 papers receiving 422 citations
Peers
Comparison fields: 5 of 90
- Medical Laboratory Technology 12
- Computer Vision and Pattern Recognition 111
- Control and Systems Engineering 119
- Human-Computer Interaction 30
- Radiological and Ultrasound Technology 14
Countries citing papers authored by Mark Dunn
This map shows the geographic impact of Mark Dunn'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 Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Dunn more than expected).
Fields of papers citing papers by Mark Dunn
This network shows the impact of papers produced by Mark Dunn. 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 Dunn. The network helps show where Mark Dunn may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Dunn, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2015 | 61 | |
| 3 | 2007 | 29 | |
| 4 | 1998 | 29 | |
| 5 | 2006 | 29 | |
| 6 | 2007 | 25 | |
| 7 | 2009 | 22 | |
| 8 | 2006 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2010 | 13 | |
| 12 | 2007 | 13 | |
| 13 | 2006 | 10 | |
| 14 | A practical inertial navigation solution for continuous miner automation | 2012 | 9 |
| 15 | 2006 | 8 | |
| 16 | 2015 | 8 | |
| 17 | A MAJOR STEP FORWARD IN CONTINUOUS MINER AUTOMATION | 2011 | 8 |
| 18 | 2012 | 8 | |
| 19 | 2008 | 7 | |
| 20 | 2007 | 7 |
About Mark Dunn
Mark Dunn is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Cognitive Neuroscience and Small Animals, having authored 39 papers that have together received 454 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (4 papers), Mining Techniques and Economics (4 papers), Robotics and Sensor-Based Localization (3 papers), Autonomous Vehicle Technology and Safety (3 papers), Traffic control and management (3 papers), Effects of Environmental Stressors on Livestock (3 papers), Belt Conveyor Systems Engineering (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Medical Laboratory Technology (12 citations), Computer Vision and Pattern Recognition (111 citations), Control and Systems Engineering (119 citations), Human-Computer Interaction (30 citations) and Radiological and Ultrasound Technology (14 citations). Mark Dunn has collaborated with scholars based in Australia, Germany and Japan. Frequent co-authors include J. Ralston, D. Reid, Chad Hargrave, Christian Goerick, David W. Hainsworth, Bram Bolder, Michael Gienger, H. Janßen, Heiko Wersing and John Billingsley. Their work appears in journals such as International Journal of Mining Science and Technology, Physiology & Behavior, Diabetic Medicine, IEEE Signal Processing Letters and International Journal of Neural Systems.
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.