Brian J. Goode
Impact in
-
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
-
- Evacuation and Crowd Dynamics
Papers in
-
- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 5
- Quantum chaos and dynamical systems 3
-
- Guidance and Control Systems 5
- Co-authors
- Michael J. Roan (4 shared papers)Andrew J. Kurdila (4 shared papers)Naren Ramakrishnan (8 shared papers)Michael W. Macy (5 shared papers)Abhijin Adiga (4 shared papers)Xinwei Deng (6 shared papers)Joshua M. Epstein (5 shared papers)Dustin Machi (6 shared papers)
- Journals
- PLoS ONE (2 papers)Journal of Dynamic Systems Measurement and Control (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Socius Sociological Research for a Dynamic World (1 paper)
- Partner nations
- United StatesEcuadorPuerto Rico
In The Last Decade
Brian J. Goode
14 papers receiving 69 citations
Peers
Comparison fields: 5 of 39
- Statistical and Nonlinear Physics 23
- Ocean Engineering 16
- Management Science and Operations Research 12
- Aerospace Engineering 17
- Information Systems and Management 4
Countries citing papers authored by Brian J. Goode
This map shows the geographic impact of Brian J. Goode'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 Brian J. Goode with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Goode more than expected).
Fields of papers citing papers by Brian J. Goode
This network shows the impact of papers produced by Brian J. Goode. 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 Brian J. Goode. The network helps show where Brian J. Goode may publish in the future.
Co-authors
The 24 scholars most cited alongside Brian J. Goode, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 13 | |
| 2 | 2018 | 12 | |
| 3 | 2011 | 8 | |
| 4 | 2012 | 5 | |
| 5 | 2011 | 5 | |
| 6 | 2019 | 5 | |
| 7 | 2015 | 4 | |
| 8 | 2006 | 3 | |
| 9 | 2018 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2010 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2022 | 0 | |
| 16 | 2007 | 0 | |
| 17 | 2019 | 0 |
About Brian J. Goode
Brian J. Goode is a scholar working on Statistical and Nonlinear Physics, Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 17 papers that have together received 69 indexed citations. Recurring topics across this work include Guidance and Control Systems (5 papers), Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (5 papers), Data Visualization and Analytics (3 papers), Quantum chaos and dynamical systems (3 papers), Advanced Text Analysis Techniques (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (23 citations), Ocean Engineering (16 citations), Management Science and Operations Research (12 citations), Aerospace Engineering (17 citations) and Information Systems and Management (4 citations). Brian J. Goode has collaborated with scholars based in United States, Ecuador and Puerto Rico. Frequent co-authors include Michael J. Roan, Andrew J. Kurdila, Naren Ramakrishnan, Michael W. Macy, Abhijin Adiga, Xinwei Deng, Joshua M. Epstein, Dustin Machi, Chris J. Kuhlman and Christopher L. Barrett. Their work appears in journals such as PLoS ONE, Journal of Dynamic Systems Measurement and Control, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Intelligent & Robotic Systems and Socius Sociological Research for a Dynamic World.
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.