A.C.M. Dumay

20 papers receiving 249 citations

Peers

A.C.M. Dumay
Comparison fields: 5 of 87
  • Health Information Management 22
  • Human-Computer Interaction 21
  • Communication 22
  • Computer Vision and Pattern Recognition 51
  • Applied Psychology 11
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Citations per year

Countries citing papers authored by A.C.M. Dumay

Since Specialization
Citations

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

Fields of papers citing papers by A.C.M. Dumay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.C.M. Dumay. 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 A.C.M. Dumay. The network helps show where A.C.M. Dumay may publish in the future.

Co-authors

The 21 scholars most cited alongside A.C.M. Dumay, 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 A.C.M. Dumay Line = papers co-authored together A.C.M. Dumay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200279
2 201066
3 199529
4
Image reconstruction from biplane angiographic projections
199216
5 199415
6 199510
7 200310
8 20107
9 19927
10 20046
11 20115
12 19914
13
Triage Simulation in a Virtual Environment
19953
14 19883
15
Towards developing a coherent healthcare information infrastructure.
20023
16
Beyond medicine
19963
17 19902
18
Innovating eHealth in the Netherlands.
20072
19 20101
20 19961

About A.C.M. Dumay

A.C.M. Dumay is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Human-Computer Interaction, Surgery and Health Information Management, having authored 22 papers that have together received 273 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Digital Image Processing Techniques (4 papers), Medical Image Segmentation Techniques (3 papers), Virtual Reality Applications and Impacts (3 papers), Surgical Simulation and Training (2 papers), Quality and Safety in Healthcare (2 papers), Graph Theory and Algorithms (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Health Information Management (22 citations), Human-Computer Interaction (21 citations), Communication (22 citations), Computer Vision and Pattern Recognition (51 citations) and Applied Psychology (11 citations). A.C.M. Dumay has collaborated with scholars based in Netherlands and Denmark. Frequent co-authors include Roderick I. Swaab, Peter Neijens, Tom Postmes, Olivier Blanson Henkemans, Laurence Alpay, Wilma Otten, Jan J. Gerbrands, Johan H. C. Reiber, Timber Haaker and Rob J. van der Geest. Their work appears in journals such as International journal of cardiac imaging, Telemedicine Journal and e-Health, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Medical Informatics and Computers in Biology and Medicine.

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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