Kevin Seppi

1.9k total citations
85 papers, 1.2k citations indexed

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 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Theory and Mathematics. Recurrent topics in Kevin Seppi's work include Topic Modeling (19 papers), Machine Learning and Algorithms (14 papers) and Natural Language Processing Techniques (13 papers). Kevin Seppi is often cited by papers focused on Topic Modeling (19 papers), Machine Learning and Algorithms (14 papers) and Natural Language Processing Techniques (13 papers). Kevin Seppi collaborates with scholars based in United States, France and Spain. Kevin Seppi's co-authors include Christopher K. Monson, James L. Carroll, Orion Weller, Eric K. Ringger, Jordan Boyd‐Graber, David Wingate, Leah Findlater, Alison Smith, Michael A. Goodrich and Michael Jones 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

Kevin Seppi

83 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kevin Seppi United States	18	730	229	163	161	155	85	1.2k
Bert Huang United States	18	766 1.0×	228 1.0×	176 1.1×	92 0.6×	112 0.7×	50	1.3k
Jan Platoš Czechia	17	673 0.9×	190 0.8×	157 1.0×	114 0.7×	163 1.1×	154	1.3k
Norisma Idris Malaysia	22	1.6k 2.2×	194 0.8×	287 1.8×	294 1.8×	77 0.5×	77	2.1k
Shaowen Yao China	19	443 0.6×	642 2.8×	205 1.3×	102 0.6×	222 1.4×	151	1.8k
Matt J. Kusner United States	14	1.1k 1.5×	316 1.4×	246 1.5×	126 0.8×	73 0.5×	26	1.7k
Mohammad Ehsan Basiri Iran	20	1.4k 2.0×	214 0.9×	302 1.9×	115 0.7×	54 0.3×	35	1.9k
Hasan Bulut Türkiye	15	872 1.2×	165 0.7×	344 2.1×	60 0.4×	299 1.9×	57	1.5k
Yingyu Liang United States	17	1.1k 1.5×	354 1.5×	144 0.9×	50 0.3×	74 0.5×	56	1.6k
Horst Samulowitz United States	15	619 0.8×	187 0.8×	161 1.0×	64 0.4×	179 1.2×	43	1.1k
Jilian Zhang China	17	794 1.1×	333 1.5×	268 1.6×	79 0.5×	110 0.7×	42	1.2k

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).

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.

Co-authorship network of co-authors of Kevin Seppi

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Seppi. A scholar is included among the top collaborators of Kevin Seppi 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 Kevin Seppi. Kevin Seppi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jones, Michael, et al.. (2022). Understanding the Roles of Video and Sensor Data in the Annotation of Human Activities. International Journal of Human-Computer Interaction. 39(18). 3634–3648. 1 indexed citations

Weller, Orion & Kevin Seppi. (2020). The rJokes Dataset: a Large Scale Humor Collection. Language Resources and Evaluation. 6136–6141. 7 indexed citations

Smith, Alison, et al.. (2019). Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. 6323–6330. 15 indexed citations

Seppi, Kevin, et al.. (2019). Women in CS: Changing the Women or Changing the World?. 1–8. 3 indexed citations

Ringger, Eric K., et al.. (2018). Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types. International Conference on Computational Linguistics. 1694–1704. 1 indexed citations

Goodrich, Michael A., et al.. (2016). Homotopy-Aware RRT*: Toward Human-Robot Topological Path-Planning. Human-Robot Interaction. 279–286. 11 indexed citations

Ringger, Eric K., et al.. (2016). Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings.. International Conference on Computational Linguistics. 1787–1796. 7 indexed citations

Goodrich, Michael A., et al.. (2015). MORRF: sampling-based multi-objective motion planning. International Conference on Artificial Intelligence. 1733–1739. 12 indexed citations

Lonsdale, Deryle, et al.. (2010). A Probabilistic Morphological Analyzer for Syriac. ScholarsArchive (Brigham Young University). 810–820. 5 indexed citations

10.

Ringger, Eric K., et al.. (2010). Parallel Active Learning: Eliminating Wait Time with Minimal Staleness. North American Chapter of the Association for Computational Linguistics. 33–41. 7 indexed citations

11.

Wilcox, David S., et al.. (2010). Probabilistic Virtual Machine Assignment. 54–60. 5 indexed citations

12.

Lonsdale, Deryle, et al.. (2010). Tag Dictionaries Accelerate Manual Annotation. Language Resources and Evaluation. 5 indexed citations

13.

Ringger, Eric K., et al.. (2010). CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development. Language Resources and Evaluation. 123(26). 1344–7. 5 indexed citations

14.

Ringger, Eric K., et al.. (2008). Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study. Language Resources and Evaluation. 26 indexed citations

15.

Seppi, Kevin, et al.. (2006). Guided model checking with a Bayesian meta-heuristic. Fundamenta Informaticae. 70(1). 111–126. 11 indexed citations

16.

Clement, Mark, et al.. (2006). Jumpstarting phylogenetic analysis. International Journal of Bioinformatics Research and Applications. 2(1). 19–19. 5 indexed citations

17.

Wingate, David & Kevin Seppi. (2005). Prioritization Methods for Accelerating MDP Solvers. Journal of Machine Learning Research. 6(29). 851–881. 47 indexed citations

18.

Monson, Christopher K. & Kevin Seppi. (2004). The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization.. Genetic and Evolutionary Computation Conference. 140–150. 48 indexed citations

19.

Wingate, David & Kevin Seppi. (2003). Efficient Value Iteration Using Partitioned Models.. 53–59. 10 indexed citations

20.

Carroll, James L., Todd Peterson, & Kevin Seppi. (2003). Reinforcement Learning Task Clustering.. ScholarsArchive (Brigham Young University). 66–72. 2 indexed citations

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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