Travis E. Gibson
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- Adaptive Control of Nonlinear Systems 11
- Advanced Control Systems Optimization 8
- Stability and Control of Uncertain Systems 8
- Fault Detection and Control Systems 3
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research 4
- Ecology top 5%
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- Gut microbiota and health 12
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- Guidance and Control Systems 4
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- Distributed Control Multi-Agent Systems 3
- Co-authors
- Anuradha M. AnnaswamyEugene LavretskyYang‐Yu LiuGeorg K. GerberLynn BryPamela A. SilverBryan B. HsuAmir Bashan
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Travis E. Gibson
33 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Control and Systems Engineering 434
- Infectious Diseases 286
- Biological Psychiatry 30
- Ecology 305
- Molecular Biology 682
Countries citing papers authored by Travis E. Gibson
This map shows the geographic impact of Travis E. Gibson'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 Travis E. Gibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis E. Gibson more than expected).
Fields of papers citing papers by Travis E. Gibson
This network shows the impact of papers produced by Travis E. Gibson. 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 Travis E. Gibson. The network helps show where Travis E. Gibson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Travis E. Gibson, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 30 | |
| 5 | 2020 | 123 | |
| 6 | 2020 | 16 | |
| 7 | The universal dynamics of the human microbiome | 2019 | 0 |
| 8 | Dynamic Modulation of the Gut Microbiota and Metabolome by Bacteriophages in a Mouse Modelbreakdown → | 2019 | 369 |
| 9 | Accelerated Learning in the Presence of Time Varying Features with Applications to Machine Learning and Adaptive Control. | 2019 | 0 |
| 10 | Robust and Scalable Models of Microbiome Dynamics | 2018 | 2 |
| 11 | 2016 | 49 | |
| 12 | 2016 | 12 | |
| 13 | 2016 | 50 | |
| 14 | 2016 | 183 | |
| 15 | 2016 | 53 | |
| 16 | 2013 | 10 | |
| 17 | 2012 | 26 | |
| 18 | 2009 | 74 | |
| 19 | 2009 | 23 | |
| 20 | Fifteen years of performance-based design in New Zealand | 2006 | 4 |
About Travis E. Gibson
Travis E. Gibson is a scholar working on Control and Systems Engineering, Infectious Diseases and Aerospace Engineering, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Adaptive Control of Nonlinear Systems (11 papers), Advanced Control Systems Optimization (8 papers), Stability and Control of Uncertain Systems (8 papers), Guidance and Control Systems (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Fault Detection and Control Systems (3 papers) and Distributed Control Multi-Agent Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (434 citations), Infectious Diseases (286 citations) and Biological Psychiatry (30 citations). Travis E. Gibson has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Anuradha M. Annaswamy, Eugene Lavretsky, Yang‐Yu Liu, Georg K. Gerber, Lynn Bry, Pamela A. Silver, Bryan B. Hsu, Amir Bashan, Qing Liu and Vladimir Yeliseyev. Their work appears in journals such as Nature Microbiology, Scientific Reports, Cell Host & Microbe, Cell Systems and Nature.
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.