J. Kevin Lanctot

8 papers and 375 indexed citations i.

About

J. Kevin Lanctot is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, J. Kevin Lanctot has authored 8 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in J. Kevin Lanctot’s work include Machine Learning and Algorithms (3 papers), Algorithms and Data Compression (3 papers) and Computational Drug Discovery Methods (3 papers). J. Kevin Lanctot is often cited by papers focused on Machine Learning and Algorithms (3 papers), Algorithms and Data Compression (3 papers) and Computational Drug Discovery Methods (3 papers). J. Kevin Lanctot collaborates with scholars based in Canada, United States and Singapore. J. Kevin Lanctot's co-authors include B. John Oommen, Bin Ma, Louxin Zhang, Ming Li, En‐hui Yang, Santosh Putta, John Eksterowicz, Erin K. Bradley, Peter D. J. Grootenhuis and Connie Oshiro and has published in prestigious journals such as Journal of Medicinal Chemistry, Information and Computation and Journal of Molecular Graphics and Modelling.

In The Last Decade

Co-authorship network of co-authors of J. Kevin Lanctot i

Fields of papers citing papers by J. Kevin Lanctot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Kevin Lanctot. 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 J. Kevin Lanctot. The network helps show where J. Kevin Lanctot may publish in the future.

Countries citing papers authored by J. Kevin Lanctot

Since Specialization
Citations

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