Lonnie Chrisman

7 papers and 218 indexed citations i.

About

Lonnie Chrisman is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lonnie Chrisman has authored 7 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Lonnie Chrisman’s work include Bayesian Modeling and Causal Inference (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Evolutionary Algorithms and Applications (1 paper). Lonnie Chrisman is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Evolutionary Algorithms and Applications (1 paper). Lonnie Chrisman collaborates with scholars based in United States. Lonnie Chrisman's co-authors include Reid Simmons, Sam Savage, Pat Langley, Stephen D. Bay and Andrew Pohorille and has published in prestigious journals such as International Journal of Approximate Reasoning, Connection Science and Biocomputing.

In The Last Decade

Co-authorship network of co-authors of Lonnie Chrisman i

Fields of papers citing papers by Lonnie Chrisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lonnie Chrisman. 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 Lonnie Chrisman. The network helps show where Lonnie Chrisman may publish in the future.

Countries citing papers authored by Lonnie Chrisman

Since Specialization
Citations

This map shows the geographic impact of Lonnie Chrisman'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 Lonnie Chrisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lonnie Chrisman more than expected).

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.

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2025