Conor Durkan

About

Conor Durkan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Conor Durkan has authored 3 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistics and Probability. Recurrent topics in Conor Durkan’s work include Machine Learning and Algorithms (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). Conor Durkan is often cited by papers focused on Machine Learning and Algorithms (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). Conor Durkan collaborates with scholars based in United Kingdom and Germany. Conor Durkan's co-authors include Pedro J. Gonçalves, David S. Greenberg, Michael Deistler, Álvaro Tejero-Cantero, Jakob H. Macke, Jan-Matthis Lueckmann, Iain Murray and George Papamakarios and has published in prestigious journals such as International Conference on Machine Learning and The Journal of Open Source Software.

In The Last Decade

Co-authorship network of co-authors of Conor Durkan i

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Fields of papers citing papers by Conor Durkan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Conor Durkan

Since Specialization

Citations

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