Prem Melville

22 papers and 1.4k indexed citations i.

About

Prem Melville is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prem Melville has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prem Melville’s work include Machine Learning and Data Classification (7 papers), Machine Learning and Algorithms (6 papers) and Imbalanced Data Classification Techniques (6 papers). Prem Melville is often cited by papers focused on Machine Learning and Data Classification (7 papers), Machine Learning and Algorithms (6 papers) and Imbalanced Data Classification Techniques (6 papers). Prem Melville collaborates with scholars based in United States, United Kingdom and Israel. Prem Melville's co-authors include Raymond J. Mooney, Ramadass Nagarajan, Richard D. Lawrence, Vikas Sindhwani, Wojciech Gryc, Foster Provost, Maytal Saar‐Tsechansky, Shiva Prasad Kasiviswanathan, Arindam Banerjee and Karthik Subbian and has published in prestigious journals such as Management Science, Information Fusion and IBM Journal of Research and Development.

In The Last Decade

Co-authorship network of co-authors of Prem Melville i

Fields of papers citing papers by Prem Melville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prem Melville

Since Specialization
Citations

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