Dean J. Driebe

970 citations
26 papers · 693 · h-index 12

Impact in

Papers in

    • Quantum chaos and dynamical systems 13
    • Advanced Thermodynamics and Statistical Mechanics 7
    • Statistical Mechanics and Entropy 5
    • Chaos control and synchronization 5
    • Model Reduction and Neural Networks 4
    • Nonlinear Waves and Solitons 3
    • Mathematical Dynamics and Fractals 4

Dean J. Driebe

24 papers receiving 640 citations

Peers

Dean J. Driebe
Comparison fields: 5 of 112
  • Statistical and Nonlinear Physics 267
  • Management Science and Operations Research 83
  • Medical Laboratory Technology 9
  • Health Information Management 27
  • Family Practice 9
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Citations per field
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Citations per year

Countries citing papers authored by Dean J. Driebe

Since Specialization
Citations

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

Fields of papers citing papers by Dean J. Driebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean J. Driebe. 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 Dean J. Driebe. The network helps show where Dean J. Driebe may publish in the future.

Co-authors

The 17 scholars most cited alongside Dean J. Driebe, 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 Dean J. Driebe Line = papers co-authored together Dean J. Driebe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004207
2 201077
3 200970
4 200562
5
Uncertainty and surprise in complex systems : questions working with the unexpected
200544
6 201344
7 199443
8 199935
9 199226
10 199320
11 200611
12 199411
13 20068
14 19997
15 19965
16 19975
17 20195
18 20142
19 20172
20 19962

About Dean J. Driebe

Dean J. Driebe is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Atomic and Molecular Physics, and Optics, Management Science and Operations Research and Economics and Econometrics, having authored 26 papers that have together received 693 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (13 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Statistical Mechanics and Entropy (5 papers), Chaos control and synchronization (5 papers), Mathematical Dynamics and Fractals (4 papers), Model Reduction and Neural Networks (4 papers), Nonlinear Waves and Solitons (3 papers) and Complex Systems and Decision Making (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (267 citations), Management Science and Operations Research (83 citations), Medical Laboratory Technology (9 citations), Health Information Management (27 citations) and Family Practice (9 citations). Dean J. Driebe has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Reuben R. McDaniel, Hiroshi Hasegawa, Hiroshi Hasegawa, Junichi Ishikawa, Holly J. Lanham, Gonzalo Ordóñez, Howard Barnum, Rudolf Peierls, William G. Hoover and Christopher A. Fuchs. Their work appears in journals such as Physics Letters A, Journal of Statistical Physics, Chaos An Interdisciplinary Journal of Nonlinear Science, Computers & Mathematics with Applications and Physics Today.

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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