David Borland

3.9k total citations · 1 hit paper
55 papers, 2.0k citations indexed

About

David Borland is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, David Borland has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in David Borland's work include Data Visualization and Analytics (13 papers), Virtual Reality Applications and Impacts (9 papers) and Data Analysis with R (6 papers). David Borland is often cited by papers focused on Data Visualization and Analytics (13 papers), Virtual Reality Applications and Impacts (9 papers) and Data Analysis with R (6 papers). David Borland collaborates with scholars based in United States, Spain and United Kingdom. David Borland's co-authors include Russell M. Taylor, John T. Woosley, Nancy E. Thomas, Marc Niethammer, Charles Schmitt, Xiaojun Guan, J. S. Marron, David Gotz, Vivian West and W. Ed Hammond and has published in prestigious journals such as Physical Review Letters, Scientific Reports and BMC Bioinformatics.

In The Last Decade

David Borland

45 papers receiving 2.0k citations

Hit Papers

A method for normalizing histology slides for quantitativ... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Borland United States 16 835 800 393 363 252 55 2.0k
M. Stella Atkins Canada 28 536 0.6× 1.1k 1.3× 646 1.6× 482 1.3× 335 1.3× 135 3.3k
Sheryl Brahnam United States 29 752 0.9× 1.3k 1.6× 290 0.7× 115 0.3× 161 0.6× 113 3.3k
Kostas Marias Greece 29 633 0.8× 489 0.6× 1.1k 2.8× 138 0.4× 252 1.0× 265 3.6k
Claudia Mello‐Thoms Australia 26 1000 1.2× 308 0.4× 1.3k 3.2× 73 0.2× 113 0.4× 137 2.5k
Michael A. Riegler Norway 30 1.4k 1.6× 1.4k 1.7× 1.0k 2.6× 94 0.3× 131 0.5× 233 4.4k
Javier Andreu-Pérez United Kingdom 18 885 1.1× 359 0.4× 482 1.2× 97 0.3× 58 0.2× 77 2.9k
Xiaofeng Liu United States 27 1.2k 1.4× 1.3k 1.6× 493 1.3× 62 0.2× 150 0.6× 175 3.2k
Soo-Hyung Kim South Korea 25 597 0.7× 972 1.2× 236 0.6× 209 0.6× 116 0.5× 232 2.3k
Calvin F. Nodine United States 33 672 0.8× 435 0.5× 2.0k 5.0× 223 0.6× 363 1.4× 96 3.8k
Corey Arnold United States 24 657 0.8× 241 0.3× 430 1.1× 56 0.2× 29 0.1× 105 1.7k

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-authorship network of co-authors of David Borland

This figure shows the co-authorship network connecting the top 25 collaborators of David Borland. A scholar is included among the top collaborators of David Borland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Borland. David Borland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Borland, David, et al.. (2024). Using Counterfactuals to Improve Causal Inferences From Visualizations. IEEE Computer Graphics and Applications. 44(1). 95–104. 6 indexed citations
2.
Borland, David, Zerong Li, Benjamin P. Kellman, et al.. (2023). ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data. STAR Protocols. 4(1). 102069–102069. 3 indexed citations
3.
Gotz, David, et al.. (2019). Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. IEEE Transactions on Visualization and Computer Graphics. 26(1). 1–1. 23 indexed citations
4.
Wu, Danny T Y, Annie Chen, Uba Backonja, et al.. (2018). Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation. Journal of the American Medical Informatics Association. 26(4). 314–323. 36 indexed citations
5.
Borland, David, Hong Yi, Gavin D. Grant, et al.. (2018). The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression. Cell Systems. 7(2). 180–184.e4. 3 indexed citations
6.
Seinfeld, Sofía, Jorge Arroyo-Palacios, Ruud Hortensius, et al.. (2018). Offenders become the victim in virtual reality: impact of changing perspective in domestic violence. Scientific Reports. 8(1). 2692–2692. 147 indexed citations
7.
Spanlang, Bernhard, Jean‐Marie Normand, David Borland, et al.. (2014). How to Build an Embodiment Lab: Achieving Body Representation Illusions in Virtual Reality. Frontiers in Robotics and AI. 1. 190 indexed citations
8.
Borland, David, Tabitha C. Peck, & Mel Slater. (2013). An Evaluation of Self-Avatar Eye Movement for Virtual Embodiment. IEEE Transactions on Visualization and Computer Graphics. 19(4). 591–596. 19 indexed citations
9.
Marron, J. S., Marc Niethammer, David Borland, et al.. (2012). Image and statistical analysis of melanocytic histology. Histopathology. 61(3). 436–444. 16 indexed citations
10.
Borland, David. (2011). Ambient occlusion opacity mapping for visualization of internal molecular structure. Digital Library (University of West Bohemia). 19. 17–24. 12 indexed citations
11.
Niethammer, Marc, David Borland, J. S. Marron, John T. Woosley, & Nancy E. Thomas. (2010). Appearance Normalization of Histology Slides. Lecture notes in computer science. 6357. 58–66. 54 indexed citations
12.
Borland, David, et al.. (2010). The social computing room: a multi-purpose collaborative visualization environment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7525. 75250E–75250E.
13.
Niethammer, Marc, J. S. Marron, David Borland, et al.. (2009). A method for normalizing histology slides for quantitative analysis. 1107–1110. 726 indexed citations breakdown →
14.
Ryan, Peter, et al.. (2008). Emergence and Visualization of an Interface State during Contact Formation with a Single Molecule. Physical Review Letters. 101(9). 96801–96801. 2 indexed citations
15.
Borland, David, et al.. (2006). Volumetric depth peeling for medical image display. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6060. 606004–606004. 9 indexed citations
16.
Borland, David. (1977). Aggressive Neglect, Matrix Organization, and Student Development Implementation.. Journal of College Student Personnel.
17.
Borland, David. (1977). Gaining the Initiative in Collective Bargaining.. 1 indexed citations
18.
Borland, David. (1976). Employee Relations Without Collective Bargaining.. 88(11). 754–5. 1 indexed citations
19.
Borland, David. (1976). Collective Bargaining: Prospectus for the South.. 1 indexed citations
20.
Borland, David, et al.. (1976). Student Development Implementation Through Expanded Professional Skills.. Journal of College Student Personnel. 1 indexed citations

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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