Connor Mattson

About

Connor Mattson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Connor Mattson has authored 5 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Connor Mattson’s work include Reinforcement Learning in Robotics (2 papers), Cognitive Functions and Memory (1 paper) and Machine Learning in Healthcare (1 paper). Connor Mattson is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Cognitive Functions and Memory (1 paper) and Machine Learning in Healthcare (1 paper). Connor Mattson collaborates with scholars based in United States. Connor Mattson's co-authors include Achille Messac, Amir Ismail-Yahaya, Daniel S. Brown, J CLARK, Cameron Nowzari, Maryam Parsa, Kevin Zhu and Ricardo de la Vega Marcos and has published in prestigious journals such as Structural and Multidisciplinary Optimization, arXiv (Cornell University) and Proceedings of the Genetic and Evolutionary Computation Conference.

In The Last Decade

Co-authorship network of co-authors of Connor Mattson i

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Fields of papers citing papers by Connor Mattson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Connor Mattson

Since Specialization

Citations

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