Match tier
Confirmed
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-08-06
J
J. Talbot
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Research Director
Faculty Researcher
39 h-index
167 pubs
5,232 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
J. Talbot's research focuses on the development and application of computational models and simulation techniques across various scientific domains. This includes work on the spatial and orientational distribution of molecules on sensing surfaces, such as the SARS-CoV-2 spike protein, for precise evaluation of antibody affinity. Talbot has also investigated the mechanics of granular media, examining the forces on intruders moving through such materials, and explored theoretical aspects of diffusion, including Fokker-Planck and Langevin analyses of noisy orbits.
Further research areas include computational design for microfarms, aiming to optimize crop yield through strategies like desynchronized planting. Talbot has also contributed to understanding search efficiency enhancements through diffusive echo phenomena and has worked on statistical models for random stacking processes. With an h-index of 39 and over 5,000 citations across 167 publications, Talbot is recognized as a highly cited researcher.
Metrics
- h-index: 39
- Publications: 167
- Citations: 5,232
Selected Publications
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Editing AI-Generated Text for Accuracy and Completeness (2025)
Collaboration Network
Top Collaborators
Charles Antoine
Sorbonne Université (FR)
4 shared publications
- Exploring noisy Jeffery orbits: A combined Fokker-Planck and Langevin analysis in two and three dimensions
- Enhancing search efficiency through diffusive echo
- Enhancing search efficiency through diffusive echo
- Exploring noisy Jeffery orbits: A combined Fokker-Planck and Langevin analysis in 2D and 3D
Ieva Plikusienė
Vilnius University (LT)
3 shared publications
- Revealing the SARS-CoV-2 Spike Protein and Specific Antibody Immune Complex Formation Mechanism for Precise Evaluation of Antibody Affinity
- A random sequential adsorption model for the prediction of SARS-CoV-2 spike protein spatial and orientational distribution on a sensing surface
- A Random Sequential Adsorption Model for the Prediction of SARS-CoV-2 Spike Protein Orientation and Distribution on a Sensing Surface
Vincentas Mačiulis
Vilnius University (LT)
3 shared publications
- Revealing the SARS-CoV-2 Spike Protein and Specific Antibody Immune Complex Formation Mechanism for Precise Evaluation of Antibody Affinity
- A random sequential adsorption model for the prediction of SARS-CoV-2 spike protein spatial and orientational distribution on a sensing surface
- A Random Sequential Adsorption Model for the Prediction of SARS-CoV-2 Spike Protein Orientation and Distribution on a Sensing Surface
Vilius Vertelis
3 shared publications
- Revealing the SARS-CoV-2 Spike Protein and Specific Antibody Immune Complex Formation Mechanism for Precise Evaluation of Antibody Affinity
- A random sequential adsorption model for the prediction of SARS-CoV-2 spike protein spatial and orientational distribution on a sensing surface
- A Random Sequential Adsorption Model for the Prediction of SARS-CoV-2 Spike Protein Orientation and Distribution on a Sensing Surface
Silvija Juciutė
Vilnius University (LT)
3 shared publications
- Revealing the SARS-CoV-2 Spike Protein and Specific Antibody Immune Complex Formation Mechanism for Precise Evaluation of Antibody Affinity
- A random sequential adsorption model for the prediction of SARS-CoV-2 spike protein spatial and orientational distribution on a sensing surface
- A Random Sequential Adsorption Model for the Prediction of SARS-CoV-2 Spike Protein Orientation and Distribution on a Sensing Surface
David Colliaux
Sony Computer Science Laboratories (JP)
3 shared publications
- Models for the Computational Design of Microfarms
- A random planting model
- A random planting model
Pascal Viot
Centre National de la Recherche Scientifique (FR)
3 shared publications
- Models for the Computational Design of Microfarms
- A random planting model
- A random planting model
Bitang Kwrung Tripura
Indian Institute of Technology Guwahati (IN)
2 shared publications
- Role of shape on the forces on an intruder moving through dense granular medium
- Role of shape on the forces on an intruder moving through a dense granular medium
Sonu Kumar
Indian Institute of Technology Guwahati (IN)
2 shared publications
- Role of shape on the forces on an intruder moving through dense granular medium
- Role of shape on the forces on an intruder moving through a dense granular medium
K. Anki Reddy
Indian Institute of Technology Guwahati (IN)
2 shared publications
- Role of shape on the forces on an intruder moving through dense granular medium
- Role of shape on the forces on an intruder moving through a dense granular medium
Philippe Claudin
Université Paris Cité (FR)
2 shared publications
- Exploring noisy Jeffery orbits: A combined Fokker-Planck and Langevin analysis in two and three dimensions
- Exploring noisy Jeffery orbits: A combined Fokker-Planck and Langevin analysis in 2D and 3D
Ellák Somfai
Institute for Solid State Physics and Optics (HU)
2 shared publications
- Exploring noisy Jeffery orbits: A combined Fokker-Planck and Langevin analysis in two and three dimensions
- Exploring noisy Jeffery orbits: A combined Fokker-Planck and Langevin analysis in 2D and 3D
Tamás Börzsönyi
Institute for Solid State Physics and Optics (HU)
2 shared publications
- Exploring noisy Jeffery orbits: A combined Fokker-Planck and Langevin analysis in two and three dimensions
- Exploring noisy Jeffery orbits: A combined Fokker-Planck and Langevin analysis in 2D and 3D
Christophe Antoine
Sorbonne Université (FR)
1 shared publication
- Statistics and optimization of random pan stacking
Saulius Balevičius
Center for Physical Sciences and Technology (LT)
1 shared publication
- Revealing the SARS-CoV-2 Spike Protein and Specific Antibody Immune Complex Formation Mechanism for Precise Evaluation of Antibody Affinity
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