Daniel Patel

28 papers receiving 504 citations

Peers

Daniel Patel
Comparison fields: 5 of 56
  • Computer Graphics and Computer-Aided Design 266
  • Geochemistry and Petrology 75
  • Computer Vision and Pattern Recognition 143
  • Oceanography 57
  • Human-Computer Interaction 26
Replace Margarete A. Jadamec with:
Margarete A. Jadamec United States
Ralph Bernstein United States
Geoffrey A. Dorn United States
Hongwen Kang China
Eric Zbinden United States
Thomas Elboth Norway
Christian F. W. Höcker Netherlands
Anthony Vassiliou United States
G. C. Fehmers Netherlands
Ruochen Hu China
Daniel Patel relative to Margarete A. Jadamec United States Margarete A. Jadamec's profile →
Citations per field
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Margarete A. Jadamec · 1×
Citations per year

Countries citing papers authored by Daniel Patel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daniel Patel, 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 Daniel Patel Line = papers co-authored together Daniel Patel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 200843
3 201241
4 201040
5 201037
6 201028
7 201127
8 201326
9 201426
10
Illustrative Rendering of Seismic Data.
200720
11 200720
12 200920
13 201219
14 201216
15 200915
16 201314
17 202113
18 20146
19 20154
20 20204

About Daniel Patel

Daniel Patel is a scholar working on Computer Graphics and Computer-Aided Design, Geochemistry and Petrology, Human-Computer Interaction, Computer Vision and Pattern Recognition and Geophysics, having authored 29 papers that have together received 528 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (21 papers), Geological Modeling and Analysis (7 papers), Data Visualization and Analytics (4 papers), Virtual Reality Applications and Impacts (3 papers), Simulation and Modeling Applications (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Medical Image Segmentation Techniques (1 paper) and Doctoral Education Challenges and Solutions (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (266 citations), Geochemistry and Petrology (75 citations), Computer Vision and Pattern Recognition (143 citations), Oceanography (57 citations) and Human-Computer Interaction (26 citations). Daniel Patel has collaborated with scholars based in Norway, Austria and Canada. Frequent co-authors include Ivan Viola, Eduard Groeller, Stefan Brückner, Gavin J. Macaulay, Yngve Heggelund, Rolf J. Korneliussen, Espen Johnsen, Július Parulek, Tore Grane Klausen and John B. Thurmond. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, Radiotherapy and Oncology, ACM Transactions on Graphics and Computers & Geosciences.

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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