David Borland

45 papers receiving 2.0k citations

David Borland's Hit Papers

A method for normalizing histology slides for quantitative analysis 2009 · 757 citations
7570+5+11Years since publication250500750

Peers

David Borland
Comparison fields: 5 of 165
  • Human-Computer Interaction 367
  • Computer Vision and Pattern Recognition 771
  • Biophysics 212
  • Artificial Intelligence 812
  • Radiology, Nuclear Medicine and Imaging 353
Replace M. Stella Atkins with:
M. Stella Atkins Canada
Sheryl Brahnam United States
Remco Chang United States
Horace H. S. Ip Hong Kong
Kostas Marias Greece
Ognjen Arandjelović United Kingdom
Xiaofeng Liu United States
Soo-Hyung Kim South Korea
Claudia Mello‐Thoms Australia
Will Schroeder United States
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Countries citing papers authored by David Borland

Since Specialization
Citations

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

Fields of papers citing papers by David Borland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A method for normalizing histology slides for quantitative analysis
Hit paper breakdown →
2009757
2 2007322
3 2014198
4 2018156
5 2014147
6 201680
7 201055
8 202050
9 201837
10 201532
11 201529
12 202123
13 201923
14 201319
15 201216
16 201116
17 202013
18 201913
19
Ambient occlusion opacity mapping for visualization of internal molecular structure
201112
20 202110

About David Borland

David Borland is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Human-Computer Interaction and Cognitive Neuroscience, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (13 papers), Virtual Reality Applications and Impacts (9 papers), Data Analysis with R (6 papers), Tactile and Sensory Interactions (5 papers), Mental Health Research Topics (4 papers), Visual and Cognitive Learning Processes (4 papers), Teleoperation and Haptic Systems (4 papers) and Action Observation and Synchronization (3 papers). The work is most often cited by research in Human-Computer Interaction (367 citations), Computer Vision and Pattern Recognition (771 citations), Biophysics (212 citations), Artificial Intelligence (812 citations) and Radiology, Nuclear Medicine and Imaging (353 citations). David Borland has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Russell M. Taylor, Nancy E. Thomas, Marc Niethammer, John T. Woosley, Charles Schmitt, J. S. Marron, Xiaojun Guan, David Gotz, W. Ed Hammond and Vivian West. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Journal of the American Medical Informatics Association, Information Visualization and Journal of Science Education and Technology.

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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