Daniel R. Baum

95 papers receiving 2.3k citations

Peers

Daniel R. Baum
Comparison fields: 5 of 163
  • Computer Graphics and Computer-Aided Design 591
  • Structural Biology 137
  • Biophysics 174
  • Computer Vision and Pattern Recognition 645
  • Aging 29
Replace Tolga Taşdizen with:
Tolga Taşdizen United States
Juan Nunez-Iglesias United States
Michael Kazhdan United States
François Boulogne France
Steffen Prohaska Germany
Hemant D. Tagare United States
Jonathan M. Taylor United Kingdom
Ellen C. Hildreth United States
Yuanhao Gong China
Ullrich Köthe Germany
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Citations per year

Countries citing papers authored by Daniel R. Baum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015175
2 2020170
3 2011169
4 1997147
5 2020134
6 1989120
7 2022105
8 201691
9 201190
10 198981
11 201559
12 199156
13 201551
14 201150
15 201648
16 201048
17 202247
18 201243
19 201642
20 199040

About Daniel R. Baum

Daniel R. Baum is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Structural Biology, Paleontology and Biophysics, having authored 101 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (15 papers), Advanced Electron Microscopy Techniques and Applications (10 papers), Paleontology and Evolutionary Biology (8 papers), Protein Structure and Dynamics (8 papers), Data Visualization and Analytics (7 papers), Advanced Vision and Imaging (7 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (591 citations), Structural Biology (137 citations), Biophysics (174 citations), Computer Vision and Pattern Recognition (645 citations) and Aging (29 citations). Daniel R. Baum has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Hans‐Christian Hege, James M. Winget, Norbert Lindow, Holly Rushmeier, Steffen Prohaska, Britta Weber, Jürgen Titschack, Thomas Müller‐Reichert, Kevin P. W. Smith and Stephen Mann. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, PLoS ONE, Journal of Structural Biology and Proceedings of the National Academy of Sciences.

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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