David Rogers

1.6k total citations
65 papers, 985 citations indexed

About

David Rogers is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, David Rogers has authored 65 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Graphics and Computer-Aided Design and 12 papers in Computer Networks and Communications. Recurrent topics in David Rogers's work include Data Visualization and Analytics (14 papers), Computer Graphics and Visualization Techniques (13 papers) and Scientific Computing and Data Management (12 papers). David Rogers is often cited by papers focused on Data Visualization and Analytics (14 papers), Computer Graphics and Visualization Techniques (13 papers) and Scientific Computing and Data Management (12 papers). David Rogers collaborates with scholars based in United States, Austria and South Africa. David Rogers's co-authors include James Ahrens, Mitchell L. Yell, Francesca Samsel, Terece L. Turton, Mark Petersen, Colin Ware, Sébastien Jourdain, John Patchett, Patrick O’Leary and Harry Rudney and has published in prestigious journals such as The Journal of Finance, Biochemical and Biophysical Research Communications and The American Journal of Medicine.

In The Last Decade

David Rogers

63 papers receiving 899 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Rogers United States 17 224 120 110 103 98 65 985
Malcolm J. Sherman United States 9 55 0.2× 149 1.2× 55 0.5× 7 0.1× 133 1.4× 21 1.7k
Juan Liu China 17 480 2.1× 263 2.2× 77 0.7× 11 0.1× 86 0.9× 122 1.5k
Sasanka Roy India 15 68 0.3× 68 0.6× 32 0.3× 76 0.7× 9 0.1× 64 2.3k
Michelle A. Borkin United States 13 731 3.3× 23 0.2× 70 0.6× 48 0.5× 33 0.3× 48 1.5k
Feng Dong United Kingdom 15 231 1.0× 17 0.1× 20 0.2× 46 0.4× 17 0.2× 38 1.1k
Mu Mu United Kingdom 22 422 1.9× 261 2.2× 24 0.2× 5 0.0× 19 0.2× 84 1.5k
Kristin Potter United States 15 498 2.2× 36 0.3× 28 0.3× 145 1.4× 22 0.2× 35 989
Clifford A Pickover United States 19 139 0.6× 312 2.6× 31 0.3× 59 0.6× 8 0.1× 100 1.4k
John Edwards United States 24 27 0.1× 150 1.3× 31 0.3× 25 0.2× 4 0.0× 149 2.1k
Nahum Gershon United States 20 486 2.2× 113 0.9× 32 0.3× 154 1.5× 8 0.1× 80 1.4k

Countries citing papers authored by David Rogers

Since Specialization
Citations

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

Fields of papers citing papers by David Rogers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Rogers

This figure shows the co-authorship network connecting the top 25 collaborators of David Rogers. A scholar is included among the top collaborators of David Rogers 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 Rogers. David Rogers 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.
Rogers, David, et al.. (2020). Visualizing Science: How Color Determines What We See. Eos. 101. 10 indexed citations
2.
Biwer, Christopher M., Ayan Biswas, Richard L. Sandberg, et al.. (2019). Cinema:Bandit: a visualization application for beamline science demonstrated on XFEL shock physics experiments. Journal of Synchrotron Radiation. 27(1). 1–10. 8 indexed citations
3.
Vogel, Sven C., et al.. (2018). Interactive visualization of multi-data-set Rietveld analyses usingCinema:Debye-Scherrer. Journal of Applied Crystallography. 51(3). 943–951. 7 indexed citations
4.
Feng, Wu-chun, et al.. (2017). Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization. 978–987. 4 indexed citations
5.
Turton, Terece L., Colin Ware, Francesca Samsel, & David Rogers. (2017). A Crowdsourced Approach to Colormap Assessment. Eurographics. 5 indexed citations
6.
Samsel, Francesca, et al.. (2017). Employing Color Theory to Visualize Volume-rendered Multivariate Ensembles of Asteroid Impact Simulations. 1126–1134. 6 indexed citations
7.
Rogers, David, et al.. (2015). A Dialectic on Graduate Analytics Education. International Conference on Information Systems. 4 indexed citations
8.
O’Leary, Patrick, et al.. (2015). Cinema image-based in situ analysis and visualization of MPAS-ocean simulations. Parallel Computing. 55. 43–48. 28 indexed citations
9.
Crossno, Patricia J., David Rogers, Rebecca M. Brannon, David Coblentz, & J. T. Fredrich. (2005). Visualization of Geologic Stress Perturbations Using Mohr Diagrams. IEEE Transactions on Visualization and Computer Graphics. 11(5). 508–518. 6 indexed citations
10.
Matsumoto, David, et al.. (2003). The robustness of the intercultural adjustment potential scale (ICAPS): the search for a universal psychological engine of adjustment. International Journal of Intercultural Relations. 27(5). 543–562. 44 indexed citations
11.
Crossno, Patricia J., David Rogers, & Christopher J. Garasi. (2002). Case study: Visual debugging of finite element codes. IEEE Visualization. 517–520. 4 indexed citations
12.
Crossno, Patricia J. & David Rogers. (2002). Visual debugging. IEEE Computer Graphics and Applications. 22(6). 6–10. 6 indexed citations
13.
Reynolds, James M. & David Rogers. (2000). ADJUSTING DISSOLUTION SPECIFICATIONS FOR THE VARIABILITY INDUCED BY STORAGE CONDITIONS. Journal of Biopharmaceutical Statistics. 10(3). 425–431. 1 indexed citations
14.
Javaheri, Shahrokh, Charles A. Davis, & David Rogers. (1993). Ionic Composition of Cisternal CSF in Acute Respiratory Acidosis: Lack of Effect of Large Dose Bumetanide. Journal of Neurochemistry. 61(4). 1525–1529. 23 indexed citations
15.
Lawson, Terence, Donald Nagel, & David Rogers. (1991). The activation of β-substituted nitrosamines that are carcinogenic to the pancreas. International Journal of Pancreatology. 10(1). 9–21. 5 indexed citations
16.
Rämö, O. J., et al.. (1990). Neuropeptide Y and peptide YY stimulate the growth of exocrine pancreatic carcinoma cells. Neuropeptides. 15(2). 101–106. 10 indexed citations
17.
Fisher, William E., et al.. (1988). Diabetes enhances growth of pancreatic carcinoma cells.. PubMed. 104(2). 431–6. 18 indexed citations
18.
Bell, Richard H., et al.. (1986). Pancreatic insulin secretion in exocrine pancreatic cancer. Journal of Surgical Research. 40(6). 588–596. 3 indexed citations
19.
Rogers, David. (1984). Artificial intelligence in organic chemistry sst: starting material selection strategies. University Microfilms International eBooks.
20.
Rogers, David, et al.. (1981). Circadian variation of 3-hydroxy-3-methylglutaryl coenzyme A reductase activity in swine liver and ileum.. Journal of Lipid Research. 22(5). 811–819. 10 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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