Prem Melville

51 total papers · 4.5k total citations
40 papers, 2.7k citations indexed

About

Prem Melville is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Prem Melville has authored 40 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 11 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Prem Melville's work include Machine Learning and Algorithms (16 papers), Machine Learning and Data Classification (13 papers) and Imbalanced Data Classification Techniques (11 papers). Prem Melville is often cited by papers focused on Machine Learning and Algorithms (16 papers), Machine Learning and Data Classification (13 papers) and Imbalanced Data Classification Techniques (11 papers). Prem Melville collaborates with scholars based in United States, Israel and United Kingdom. Prem Melville's co-authors include Raymond J. Mooney, Ramadass Nagarajan, Vikas Sindhwani, Richard D. Lawrence, Wojciech Gryc, Foster Provost, Pei-Yun Hsueh, Maytal Saar‐Tsechansky, Shiva Prasad Kasiviswanathan and Arindam Banerjee and has published in prestigious journals such as Management Science, Information Fusion and IBM Journal of Research and Development.

In The Last Decade

Prem Melville

40 papers receiving 2.5k citations

Hit Papers

Content-boosted collabora... 2002 2026 2010 2018 2002 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Prem Melville 1.7k 1.0k 532 225 212 40 2.7k
Yang Song 1.2k 0.7× 1.4k 1.3× 451 0.8× 199 0.9× 196 0.9× 62 2.2k
Yanyan Lan 2.2k 1.3× 1.2k 1.2× 542 1.0× 196 0.9× 233 1.1× 106 3.3k
D. Sculley 1.7k 1.0× 941 0.9× 639 1.2× 453 2.0× 324 1.5× 37 3.4k
Rosie Jones 1.8k 1.0× 1.7k 1.7× 331 0.6× 256 1.1× 242 1.1× 62 3.1k
John O’Donovan 911 0.5× 1.3k 1.2× 559 1.1× 297 1.3× 214 1.0× 62 2.2k
Jade Goldstein 2.1k 1.2× 1.0k 1.0× 560 1.1× 250 1.1× 213 1.0× 22 2.9k
Zhaohui Zheng 1.3k 0.8× 1.2k 1.1× 461 0.9× 275 1.2× 226 1.1× 55 2.3k
Hua-Jun Zeng 1.5k 0.9× 1.6k 1.6× 504 0.9× 311 1.4× 111 0.5× 41 2.6k
Harald Steck 865 0.5× 1.3k 1.3× 345 0.6× 291 1.3× 433 2.0× 39 2.1k
Hang Li 2.3k 1.3× 1.3k 1.3× 648 1.2× 172 0.8× 213 1.0× 82 3.2k

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).

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.

Co-authorship network of co-authors of Prem Melville

This figure shows the co-authorship network connecting the top 25 collaborators of Prem Melville. A scholar is included among the top collaborators of Prem Melville based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prem Melville. Prem Melville is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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