Mark Dunn

30 papers receiving 352 citations

Peers

Mark Dunn
Comparison fields: 5 of 86
  • Medical Laboratory Technology 10
  • Human-Computer Interaction 27
  • Computer Vision and Pattern Recognition 85
  • Control and Systems Engineering 91
  • Aerospace Engineering 63
Replace Daniele Pucci with:
Daniele Pucci Italy
Byungtae Jang South Korea
Longting Chen China
Andrea Cirillo Italy
Vincent Padois France
Boris Gromov Switzerland
Georges Giralt France
Ioannis Kansizoglou Greece
Hisashi OSUMI Japan
Gu‐Min Jeong South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Mark Dunn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Dunn Line = papers co-authored together Mark Dunn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201556
3 199829
4 200725
5 200622
6 200921
7 200721
8 201216
9 200616
10 201714
11 201012
12
A practical inertial navigation solution for continuous miner automation
20129
13 20079
14
A MAJOR STEP FORWARD IN CONTINUOUS MINER AUTOMATION
20118
15 20128
16 20087
17 20067
18 19956
19 20096
20 20104

About Mark Dunn

Mark Dunn is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Social Psychology, Cognitive Neuroscience and Mechanical Engineering, having authored 30 papers that have together received 381 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Traffic control and management (3 papers), Mining Techniques and Economics (3 papers), Action Observation and Synchronization (2 papers), Industrial Automation and Control Systems (2 papers), Obesity and Health Practices (2 papers), Belt Conveyor Systems Engineering (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Medical Laboratory Technology (10 citations), Human-Computer Interaction (27 citations), Computer Vision and Pattern Recognition (85 citations), Control and Systems Engineering (91 citations) and Aerospace Engineering (63 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, Heiko Wersing, Michael Gienger, John Billingsley, H. Janßen and Martin Klingenspor. Their work appears in journals such as International Journal of Mining Science and Technology, IEEE Signal Processing Letters, Diabetic Medicine, International Journal of Neural Systems and Physiology & Behavior.

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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