Daniel J. Weber
Impact in
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- Temporomandibular Joint Disorders
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- Computer Graphics and Visualization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 8
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- Reservoir Engineering and Simulation Methods 5
- Particle Dynamics in Fluid Flows 5
- Co-authors
- David S. Wilkes (4 shared papers)Jan Bender (3 shared papers)R. Lawrence Reed (2 shared papers)Fred A. Luchette (2 shared papers)Vidya Shankaran (1 shared paper)Andre Stork (9 shared papers)Dieter W. Fellner (7 shared papers)Dan Koschier (1 shared paper)
- Journals
- The Journal of Heart and Lung Transplantation (3 papers)Computers & Graphics (3 papers)Neurology (3 papers)Experimental Mechanics (2 papers)CONTINUUM Lifelong Learning in Neurology (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel J. Weber
106 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 176
- Complementary and Manual Therapy 70
- Computer Graphics and Computer-Aided Design 126
- Transplantation 38
- Family Practice 22
- Computational Mechanics 216
Countries citing papers authored by Daniel J. Weber
This map shows the geographic impact of Daniel J. Weber'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 J. Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Weber more than expected).
Fields of papers citing papers by Daniel J. Weber
This network shows the impact of papers produced by Daniel J. Weber. 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 J. Weber. The network helps show where Daniel J. Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Weber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 170 | |
| 2 | 2012 | 154 | |
| 3 | 2014 | 95 | |
| 4 | 2014 | 79 | |
| 5 | 1996 | 68 | |
| 6 | 2015 | 66 | |
| 7 | 1985 | 64 | |
| 8 | 2012 | 64 | |
| 9 | 2013 | 53 | |
| 10 | 2013 | 51 | |
| 11 | 2019 | 49 | |
| 12 | 2009 | 43 | |
| 13 | 2012 | 41 | |
| 14 | 2012 | 40 | |
| 15 | 2014 | 37 | |
| 16 | 2020 | 35 | |
| 17 | 2018 | 34 | |
| 18 | 2018 | 32 | |
| 19 | 2019 | 29 | |
| 20 | 2012 | 29 |
About Daniel J. Weber
Daniel J. Weber is a scholar working on Computer Graphics and Computer-Aided Design, Ocean Engineering, Computational Mechanics, Biomedical Engineering and Mechanical Engineering, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (11 papers), Advanced machining processes and optimization (10 papers), Transplantation: Methods and Outcomes (9 papers), Computer Graphics and Visualization Techniques (8 papers), Epilepsy research and treatment (5 papers), Plant Surface Properties and Treatments (5 papers), Reservoir Engineering and Simulation Methods (5 papers) and Particle Dynamics in Fluid Flows (5 papers). The work is most often cited by research in Complementary and Manual Therapy (70 citations), Computer Graphics and Computer-Aided Design (126 citations), Transplantation (38 citations), Family Practice (22 citations) and Computational Mechanics (216 citations). Daniel J. Weber has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David S. Wilkes, Jan Bender, R. Lawrence Reed, Fred A. Luchette, Vidya Shankaran, Andre Stork, Dieter W. Fellner, Dan Koschier, Meike C. Shedden Mora and Winfried Rief. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Computers & Graphics, Neurology, Experimental Mechanics and CONTINUUM Lifelong Learning in Neurology.
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.