Daniel Patel

26 papers receiving 496 citations

Peers

Daniel Patel
Comparison fields: 5 of 74
  • Computer Graphics and Computer-Aided Design 230
  • Geochemistry and Petrology 122
  • Computer Vision and Pattern Recognition 236
  • Geology 36
  • Oceanography 55
Replace Jacek Jankowski with:
Jacek Jankowski Ireland
Tom Patterson United States
K. G. Bemis United States
M. A. Jadamec United States
Jon A. Kimerling
Katsumi Tadamura Japan
Niklas Röber Germany
Ulrich Thoennessen Germany
Catherine Proy France
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Citations per field
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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 24 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 200842
3 201038
4 201237
5 201037
6 201127
7 201026
8 201424
9 201322
10 200920
11
Illustrative Rendering of Seismic Data.
200719
12 201219
13 200718
14 201315
15 200914
16 201214
17 202112
18 20219
19 20146
20 20154

About Daniel Patel

Daniel Patel is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Geochemistry and Petrology, Building and Construction and Control and Systems Engineering, having authored 30 papers that have together received 510 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (16 papers), Geological Modeling and Analysis (11 papers), 3D Modeling in Geospatial Applications (5 papers), Advanced Vision and Imaging (4 papers), Virtual Reality Applications and Impacts (3 papers), Data Visualization and Analytics (3 papers), 3D Shape Modeling and Analysis (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (230 citations), Geochemistry and Petrology (122 citations), Computer Vision and Pattern Recognition (236 citations), Geology (36 citations) and Oceanography (55 citations). Daniel Patel has collaborated with scholars based in Norway, Austria and Canada. Frequent co-authors include Ivan Viola, Stefan Brückner, Rolf J. Korneliussen, Espen Johnsen, Yngve Heggelund, Gavin J. Macaulay, Eduard Gröller, M. Eduard Gröller, Július Parulek and John B. Thurmond. Their work appears in journals such as Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics, Computers & Geosciences, The Journal of the Acoustical Society of America and Radiotherapy and Oncology.

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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