David Borland

45 papers receiving 2.0k citations

David Borland's Hit Papers

A method for normalizing histology slides for quantitative analysis 2009 · 726 citations
7260+5+11Years since publication200400600

Peers

David Borland
Comparison fields: 5 of 168
  • Human-Computer Interaction 363
  • Biophysics 242
  • Computer Vision and Pattern Recognition 800
  • Artificial Intelligence 835
  • Health Information Management 80
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M. Stella Atkins Canada
Sheryl Brahnam United States
Remco Chang United States
Kostas Marias Greece
Michael A. Riegler Norway
Ognjen Arandjelović United Kingdom
Claudia Mello‐Thoms Australia
Soo-Hyung Kim South Korea
Xiaofeng Liu United States
Calvin F. Nodine United States
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Citations per year

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 →
2009726
2 2007316
3 2014190
4 2018147
5 2014144
6 201677
7 201054
8 202048
9 201836
10 201532
11 201529
12 201923
13 202120
14 201319
15 201216
16 201116
17 202013
18 201913
19
Ambient occlusion opacity mapping for visualization of internal molecular structure
201112
20 20219

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 2.0k 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), Cell Image Analysis Techniques (4 papers), Teleoperation and Haptic Systems (4 papers), AI in cancer detection (4 papers) and Mental Health Research Topics (4 papers). The work is most often cited by research in Human-Computer Interaction (363 citations), Biophysics (242 citations), Computer Vision and Pattern Recognition (800 citations), Artificial Intelligence (835 citations) and Health Information Management (80 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, Xiaojun Guan, J. S. Marron, David Gotz, Vivian West and W. Ed Hammond. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Information Visualization, Journal of the American Medical Informatics Association and Scientific Reports.

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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