Kevin Seppi

56 papers and 525 indexed citations i.

About

Kevin Seppi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Kevin Seppi has authored 56 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Computational Theory and Mathematics. Recurrent topics in Kevin Seppi’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Machine Learning and Algorithms (9 papers). Kevin Seppi is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Machine Learning and Algorithms (9 papers). Kevin Seppi collaborates with scholars based in United States, France and Finland. Kevin Seppi's co-authors include Christopher K. Monson, James L. Carroll, Jordan Boyd‐Graber, David Wingate, Michael A. Goodrich, Eric K. Ringger, Tony Martinez, Leah Findlater, Alison Smith and Niklas Elmqvist and has published in prestigious journals such as IEEE Transactions on Software Engineering, Journal of Machine Learning Research and International Journal of Human-Computer Studies.

In The Last Decade

Co-authorship network of co-authors of Kevin Seppi i

Fields of papers citing papers by Kevin Seppi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kevin Seppi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025