David R. Wolf

581 citations
11 papers · 289 · h-index 7

Impact in

Papers in

David R. Wolf

9 papers receiving 275 citations

Peers

David R. Wolf
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 44
  • Statistics and Probability 23
  • Artificial Intelligence 79
  • Cognitive Neuroscience 36
  • Molecular Biology 114
Replace Juan Guo with:
Juan Guo China
Thomas Schürmann Germany
Vincent Rivoirard France
Antony Joseph United States
Patricia Reynaud-Bouret France
Will Wei Sun United States
Howard Gutowitz United States
Christine Keribin France
Richard Rohwer United Kingdom
Vincent Q. Vu United States
David R. Wolf relative to Juan Guo China Juan Guo's profile →
Citations per field
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Citations per year

Countries citing papers authored by David R. Wolf

Since Specialization
Citations

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

Fields of papers citing papers by David R. Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside David R. Wolf, 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 David R. Wolf Line = papers co-authored together David R. Wolf links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1995124
2 199298
3
Field Examples Of The Combined Petrophysical Inversion Of Gamma-Ray, Density, And Resistivity Logs Acquired In Thinly-Bedded Clastic Rock Formations
200918
4 199413
5 200212
6
Information and Correlation in Statistical Mechanical Systems
199612
7 19999
8 20022
9
Synthetic And Field Examples Of The Bayesian Stochastic Inversion Of Gamma-Ray, Density, And Resistivity Logs
20101
10 19670
11
Maximally informative statistics
19990

About David R. Wolf

David R. Wolf is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 289 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (2 papers), Neural Networks and Applications (2 papers), Statistical Mechanics and Entropy (2 papers), Control Systems and Identification (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Machine Learning in Bioinformatics (1 paper), Radiation Detection and Scintillator Technologies (1 paper) and Geophysical and Geoelectrical Methods (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (44 citations), Statistics and Probability (23 citations), Artificial Intelligence (79 citations), Cognitive Neuroscience (36 citations) and Molecular Biology (114 citations). David R. Wolf has collaborated with scholars based in United States and Australia. Frequent co-authors include David H. Wolpert, James W. Fickett, David C. Torney, G. Cunningham, Glenn Jennings, K. M. Hanson, Carlos Torres‐Verdín, Kenneth M. Hanson and Zhipeng Liu. Their work appears in journals such as Genomics, Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description, Midwifery, Entropy and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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