J. M. Dubinski

About

J. M. Dubinski is a scholar working on Artificial Intelligence, Sociology and Political Science and Biomedical Engineering. According to data from OpenAlex, J. M. Dubinski has authored 3 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Biomedical Engineering. Recurrent topics in J. M. Dubinski’s work include Generative Adversarial Networks and Image Synthesis (1 paper), Computational Physics and Python Applications (1 paper) and Superconducting Materials and Applications (1 paper). J. M. Dubinski is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (1 paper), Computational Physics and Python Applications (1 paper) and Superconducting Materials and Applications (1 paper). J. M. Dubinski collaborates with scholars based in Poland and Switzerland. J. M. Dubinski's co-authors include T. P. Trzcinski, Kamil Rafał Deja, Piotr Nowak, P. S. Rokita, S. C. Wenzel and Paweł Morawiecki and has published in prestigious journals such as IEEE Access, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and AIP conference proceedings.

In The Last Decade

Co-authorship network of co-authors of J. M. Dubinski i

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Fields of papers citing papers by J. M. Dubinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J. M. Dubinski

Since Specialization

Citations

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