Nicholas F. Polys

1.8k total citations
88 papers, 1.2k citations indexed

About

Nicholas F. Polys is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Nicholas F. Polys has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 33 papers in Human-Computer Interaction and 12 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Nicholas F. Polys's work include Virtual Reality Applications and Impacts (24 papers), Data Visualization and Analytics (20 papers) and Augmented Reality Applications (18 papers). Nicholas F. Polys is often cited by papers focused on Virtual Reality Applications and Impacts (24 papers), Data Visualization and Analytics (20 papers) and Augmented Reality Applications (18 papers). Nicholas F. Polys collaborates with scholars based in United States, Australia and Germany. Nicholas F. Polys's co-authors include Doug A. Bowman, Chris North, Seonho Kim, Shuhai Xiao, Chuanming Zhou, A.D. Muscente, Pardha S. Pyla, Xunlai Yuan, Lei Chen and Jian Chen and has published in prestigious journals such as PLoS Pathogens, International Journal of Environmental Research and Public Health and Journal of Theoretical Biology.

In The Last Decade

Nicholas F. Polys

80 papers receiving 1.2k citations

Peers

Nicholas F. Polys
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 474
  • Human-Computer Interaction 437
  • Paleontology 145
  • Computer Graphics and Computer-Aided Design 115
  • Social Psychology 113
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Citations per field, relative to Nicholas F. Polys
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Citations per year, relative to Nicholas F. Polys
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Countries citing papers authored by Nicholas F. Polys

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas F. Polys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas F. Polys. 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 Nicholas F. Polys. The network helps show where Nicholas F. Polys may publish in the future.

Co-authorship network of co-authors of Nicholas F. Polys

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas F. Polys. A scholar is included among the top collaborators of Nicholas F. Polys 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 Nicholas F. Polys. Nicholas F. Polys 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 2
6 0
7 3
8 56
9 3
10 1
11 52
12 0
13 10
14 11
15 4
16 4
17
Storytelling and Clustering for Cellular Signaling Pathways.
1
18 28
19 27
20 77

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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