Author

R Kevin Smith

University of Illinois Urbana-Champaign

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Ecology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:spatial domain detection· 2 Approach:Bayesian inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Abrar HussainiD· 2 shared Lelys Bravo de GuenniiD· 2 shared Nohra E. Mateus‐PinillaiD· 1 shared Sabir HussainiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEcology

Abrar HussainORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Bayesian spatial prediction of three medically important tick species in Illinois

Abrar Hussain, Lelys Bravo de Guenni, Nohra E. Mateus‐Pinilla, R Kevin Smith

The paper uses Bayesian hierarchical spatial models to predict the relative abundance of three tick species in Illinois based on environmental and spatial data.

bioRxiv · Oct 14, 2026 · PreprintEcology

Bayesian spatial prediction of livestock tick abundance to support surveillance in data-sparse regions

Abrar Hussain, Sabir Hussain, Lelys Bravo de Guenni, R Kevin Smith

The paper develops a Bayesian spatial model to predict tick abundance in livestock systems using heterogeneous surveillance data, showing improved model fit and identifying areas needing more data collection.

bioRxiv · Sep 14, 2026 · PreprintEcology