Dan Schult
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Fire dynamics and safety research 8
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- Combustion and Detonation Processes 8
- Co-authors
- Aric A. Hagberg (3 shared papers)Pieter J. Swart (2 shared papers)Kenneth Segall (7 shared papers)Patrick Crotty (5 shared papers)Bernard J. Matkowsky (3 shared papers)A. P. Aldushin (3 shared papers)Oleksiy V. Svitelskiy (1 shared paper)Shreeya Khadka (1 shared paper)
- Journals
- Combustion and Flame (2 papers)Combustion Theory and Modelling (2 papers)IEEE Transactions on Applied Superconductivity (2 papers)Lecture notes in physics (1 paper)Physical review. E (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Dan Schult
19 papers receiving 5.1k citations
Dan Schult's Hit Papers
Peers
Comparison fields: 5 of 204
- Statistical and Nonlinear Physics 917
- Computer Networks and Communications 679
- Artificial Intelligence 950
- Computational Theory and Mathematics 447
- Transportation 163
Countries citing papers authored by Dan Schult
This map shows the geographic impact of Dan Schult'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 Dan Schult with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Schult more than expected).
Fields of papers citing papers by Dan Schult
This network shows the impact of papers produced by Dan Schult. 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 Dan Schult. The network helps show where Dan Schult may publish in the future.
Co-authors
The 10 scholars most cited alongside Dan Schult, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exploring Network Structure, Dynamics, and Function using NetworkX Hit paper breakdown → | 2008 | 4628 |
| 2 | 2010 | 144 | |
| 3 | 1996 | 111 | |
| 4 | 1995 | 90 | |
| 5 | 2017 | 68 | |
| 6 | 2008 | 55 | |
| 7 | 2006 | 37 | |
| 8 | 2014 | 23 | |
| 9 | 1997 | 22 | |
| 10 | 1999 | 18 | |
| 11 | 2004 | 12 | |
| 12 | 1997 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2005 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2009 | 5 | |
| 17 | 2002 | 5 | |
| 18 | 2001 | 2 | |
| 19 | 2001 | 1 | |
| 20 | 2025 | 0 |
About Dan Schult
Dan Schult is a scholar working on Safety, Risk, Reliability and Quality, Aerospace Engineering, Cognitive Neuroscience, Statistical and Nonlinear Physics and Computational Mechanics, having authored 21 papers that have together received 5.3k indexed citations. Recurring topics across this work include Combustion and Detonation Processes (8 papers), Fire dynamics and safety research (8 papers), Neural dynamics and brain function (6 papers), Combustion and flame dynamics (5 papers), Neural Networks and Reservoir Computing (4 papers), Advanced Memory and Neural Computing (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Differential Equations and Numerical Methods (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (917 citations), Computer Networks and Communications (679 citations), Artificial Intelligence (950 citations), Computational Theory and Mathematics (447 citations) and Transportation (163 citations). Dan Schult has collaborated with scholars based in United States and Russia. Frequent co-authors include Aric A. Hagberg, Pieter J. Swart, Kenneth Segall, Patrick Crotty, Bernard J. Matkowsky, A. P. Aldushin, Oleksiy V. Svitelskiy, Shreeya Khadka, Mary Lou Kelley and V. A. Volpert. Their work appears in journals such as Combustion and Flame, Combustion Theory and Modelling, IEEE Transactions on Applied Superconductivity, Lecture notes in physics and Physical review. E.
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.