Lonnie Chrisman

22 total papers · 626 total citations
10 papers, 368 citations indexed

About

Lonnie Chrisman is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lonnie Chrisman has authored 10 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lonnie Chrisman's work include Bayesian Modeling and Causal Inference (4 papers), Robotic Path Planning Algorithms (2 papers) and Logic, Reasoning, and Knowledge (2 papers). Lonnie Chrisman is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Robotic Path Planning Algorithms (2 papers) and Logic, Reasoning, and Knowledge (2 papers). Lonnie Chrisman collaborates with scholars based in United States. Lonnie Chrisman's co-authors include Reid Simmons, Sven Koenig, Gita Krishnaswamy, Richard Goodwin, Eric Krotkov, Fábio Gagliardi Cozman, W. Whittaker, Martial Hebert, Stephen D. Bay and Pat Langley and has published in prestigious journals such as International Journal of Approximate Reasoning, Connection Science and arXiv (Cornell University).

In The Last Decade

Lonnie Chrisman

10 papers receiving 302 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lonnie Chrisman	245	96	62	47	41	10	368
Tuomas Haarnoja	255 1.0×	78 0.8×	42 0.7×	52 1.1×	118 2.9×	19	420
Avraham Ruderman	245 1.0×	58 0.6×	22 0.4×	31 0.7×	42 1.0×	5	369
Philip Thrift	260 1.1×	129 1.3×	23 0.4×	26 0.6×	59 1.4×	14	433
Roland Hafner	264 1.1×	65 0.7×	23 0.4×	91 1.9×	144 3.5×	15	408
Alexander Novikov	175 0.7×	39 0.4×	14 0.2×	50 1.1×	18 0.4×	12	381
Eric Garcia	171 0.7×	212 2.2×	11 0.2×	25 0.5×	36 0.9×	13	440
Gregory Kuhlmann	354 1.4×	61 0.6×	37 0.6×	38 0.8×	49 1.2×	10	423
Yuan Tian	232 0.9×	35 0.4×	11 0.2×	43 0.9×	70 1.7×	19	410
Matthew W. Hoffman	204 0.8×	70 0.7×	16 0.3×	162 3.4×	61 1.5×	11	425
Anirudha Majumdar	102 0.4×	93 1.0×	57 0.9×	91 1.9×	238 5.8×	14	401

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).

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.

Co-authorship network of co-authors of Lonnie Chrisman

This figure shows the co-authorship network connecting the top 25 collaborators of Lonnie Chrisman. A scholar is included among the top collaborators of Lonnie Chrisman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lonnie Chrisman. Lonnie Chrisman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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