Prashan Madumal

About

Prashan Madumal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Prashan Madumal has authored 5 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Prashan Madumal’s work include Explainable Artificial Intelligence (XAI) (4 papers), Advanced Neural Network Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Prashan Madumal is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Advanced Neural Network Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Prashan Madumal collaborates with scholars based in Australia. Prashan Madumal's co-authors include Tim Miller, Liz Sonenberg, Frank Vetere, Benjamin I. P. Rubinstein and Krista A. Ehinger and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence and Adaptive Agents and Multi-Agents Systems.

In The Last Decade

Co-authorship network of co-authors of Prashan Madumal i

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Fields of papers citing papers by Prashan Madumal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prashan Madumal

Since Specialization

Citations

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