Daniel S. Weller

1.2k citations
61 papers · 686 · h-index 15

Impact in

Papers in

Daniel S. Weller

60 papers receiving 667 citations

Peers

Daniel S. Weller
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 253
  • Computer Networks and Communications 155
  • Radiation 35
  • Computational Mechanics 82
  • Automotive Engineering 47
Replace S. Bellini with:
S. Bellini Italy
Rushil Anirudh United States
Narayanan Krishnamurthy United States
B. Aldefeld Germany
S. Bellis Ireland
Quan Chen United States
Anton J. Prassl Austria
Ender M. Ekşioğlu Türkiye
Vincent Gaudet Canada
Daniel S. Weller relative to S. Bellini Italy S. Bellini's profile →
Citations per field
00.5×10×15.7×
S. Bellini · 1×
Citations per year

Countries citing papers authored by Daniel S. Weller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Weller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200689
2 200566
3 200653
4 201341
5 201834
6 201329
7 201829
8 201526
9 201326
10 202020
11 201920
12 201119
13 202118
14 202117
15 201414
16 201314
17 202014
18 202113
19 201910
20 20119

About Daniel S. Weller

Daniel S. Weller is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Artificial Intelligence, Biomedical Engineering and Computational Theory and Mathematics, having authored 61 papers that have together received 686 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (23 papers), Medical Imaging Techniques and Applications (15 papers), Sparse and Compressive Sensing Techniques (11 papers), Logic, programming, and type systems (11 papers), Formal Methods in Verification (8 papers), Logic, Reasoning, and Knowledge (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (253 citations), Computer Networks and Communications (155 citations), Radiation (35 citations), Computational Mechanics (82 citations) and Automotive Engineering (47 citations). Daniel S. Weller has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Rahul Mangharam, Jeffrey A. Fessler, Priyantha Mudalige, Raj Rajkumar, Fan Bai, Michael Salerno, Sathish Ramani, Vivek K Goyal, Christopher M. Kramer and Yang Yang. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging, Theoretical Computer Science, Magnetic Resonance Imaging and Journal of Logic and Computation.

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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