Robert Kincaid

1.4k citations
34 papers · 959 · h-index 15

Impact in

Papers in

Robert Kincaid

34 papers receiving 911 citations

Peers

Robert Kincaid
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 265
  • Human-Computer Interaction 67
  • Signal Processing 94
  • Genetics 176
  • Molecular Biology 315
Replace Christopher L. North with:
Christopher L. North United States
Christian Pich Germany
David W. Kane United States
Paolo Emilio Barbano United States
Paul A. Stewart United States
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Citations per field
00.5×6.8×
Christopher L. North · 1×
Citations per year

Countries citing papers authored by Robert Kincaid

Since Specialization
Citations

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

Fields of papers citing papers by Robert Kincaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004289
2 200883
3 200567
4 200667
5 200459
6 201055
7 200744
8 198238
9 200830
10 198222
11 198222
12 200819
13 201319
14 201717
15 201515
16 200414
17 201313
18 200111
19 201110
20 20127

About Robert Kincaid

Robert Kincaid is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Biomedical Engineering, Information Systems and Management and Atomic and Molecular Physics, and Optics, having authored 34 papers that have together received 959 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Gene expression and cancer classification (5 papers), Molecular Biology Techniques and Applications (4 papers), Cell Image Analysis Techniques (4 papers), Biomedical and Engineering Education (4 papers), Scientific Computing and Data Management (4 papers), Single-cell and spatial transcriptomics (3 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (265 citations), Human-Computer Interaction (67 citations), Signal Processing (94 citations), Genetics (176 citations) and Molecular Biology (315 citations). Robert Kincaid has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Heidi Lam, Harold A. Scheraga, Tamara Munzner, Zohar Yakhini, Amir Ben‐Dor, Laurakay Bruhn, Doron Lipson, Michael T. Barrett, Peter Tsang and Nick Sampas. Their work appears in journals such as The Journal of Chemical Physics, IEEE Transactions on Visualization and Computer Graphics, Bioinformatics, The Journal of Physical Chemistry and Journal of Visualized Experiments.

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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