Kristin P. Bennett

10.0k total citations · 2 hit papers
138 papers, 6.3k citations indexed

About

Kristin P. Bennett is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kristin P. Bennett has authored 138 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 32 papers in Molecular Biology and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kristin P. Bennett's work include Face and Expression Recognition (16 papers), Tuberculosis Research and Epidemiology (14 papers) and Computational Drug Discovery Methods (12 papers). Kristin P. Bennett is often cited by papers focused on Face and Expression Recognition (16 papers), Tuberculosis Research and Epidemiology (14 papers) and Computational Drug Discovery Methods (12 papers). Kristin P. Bennett collaborates with scholars based in United States, United Kingdom and France. Kristin P. Bennett's co-authors include Ayhan Demiriz, O. L. Mangasarian, Colin Campbell, Jinbo Bi, Curt M. Breneman, John Shawe‐Taylor, Mark J. Embrechts, Minghu Song, Patricia Bradley and Scott Vandenberg and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Kristin P. Bennett

130 papers receiving 5.9k citations

Hit Papers

Semi-Supervised Support V... 1992 2026 2003 2014 1998 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristin P. Bennett United States 41 2.8k 1.7k 851 701 632 138 6.3k
Michel Verleysen Belgium 44 4.1k 1.5× 2.5k 1.5× 594 0.7× 413 0.6× 522 0.8× 287 8.7k
Dale Schuurmans Canada 35 4.2k 1.5× 1.9k 1.1× 437 0.5× 458 0.7× 373 0.6× 172 7.7k
Neil D. Lawrence United Kingdom 49 3.8k 1.3× 1.8k 1.1× 1.2k 1.4× 722 1.0× 1.2k 1.9× 172 8.4k
Yu Zhang China 41 4.1k 1.4× 1.9k 1.1× 326 0.4× 372 0.5× 344 0.5× 287 7.6k
Shigeo Abe Japan 31 3.0k 1.0× 2.1k 1.3× 425 0.5× 365 0.5× 1.1k 1.7× 198 7.4k
Paolo Frasconi Italy 33 4.2k 1.5× 1.6k 0.9× 1.4k 1.7× 493 0.7× 946 1.5× 130 10.0k
Jacek M. Żurada United States 36 3.7k 1.3× 1.7k 1.0× 311 0.4× 470 0.7× 1000 1.6× 208 7.4k
Andrew K. C. Wong Canada 32 2.9k 1.0× 2.7k 1.6× 956 1.1× 569 0.8× 421 0.7× 161 7.8k
Shitong Wang China 44 3.9k 1.4× 2.4k 1.4× 459 0.5× 353 0.5× 503 0.8× 406 6.9k
P. M. Durai Raj Vincent India 28 4.0k 1.4× 2.7k 1.6× 677 0.8× 264 0.4× 557 0.9× 92 10.0k

Countries citing papers authored by Kristin P. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Kristin P. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristin P. Bennett. 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 Kristin P. Bennett. The network helps show where Kristin P. Bennett may publish in the future.

Co-authorship network of co-authors of Kristin P. Bennett

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

All Works

20 of 20 papers shown
2.
Erickson, John, et al.. (2024). DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem. 3(1). 1–23. 1 indexed citations
3.
Seneviratne, Oshani, Amar K. Das, Sabbir M. Rashid, et al.. (2023). Semantically enabling clinical decision support recommendations. Journal of Biomedical Semantics. 14(1). 8–8. 3 indexed citations
4.
Gruen, Daniel M., et al.. (2021). Quantifying representativeness in randomized clinical trials using machine learning fairness metrics. JAMIA Open. 4(3). ooab077–ooab077. 16 indexed citations
5.
Bennett, Kristin P., et al.. (2020). MOSAIC: a joint modeling methodology for combined circadian and non-circadian analysis of multi-omics data. Bioinformatics. 37(6). 767–774. 9 indexed citations
6.
Gruen, Daniel M., et al.. (2020). Visualizing Inequities in Clinical Trials using ML Fairness Metrics.. AMIA. 1 indexed citations
7.
Bennett, Kristin P., et al.. (2019). ECHO: an application for detection and analysis of oscillators identifies metabolic regulation on genome-wide circadian output. Bioinformatics. 36(3). 773–781. 33 indexed citations
8.
Hendler, James, et al.. (2015). Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records. Big Data. 3(4). 238–248. 13 indexed citations
9.
Salasznyk, Roman M., Robert F. Klees, Phaedra Agius, et al.. (2007). Mechanical Strain Enhances Extracellular Matrix-Induced Gene Focusing and Promotes Osteogenic Differentiation of Human Mesenchymal Stem Cells Through an Extracellular-Related Kinase-Dependent Pathway. Stem Cells and Development. 16(3). 467–480. 85 indexed citations
10.
Bennett, Kristin P. & Emilio Parrado-Hernández. (2006). The Interplay of Optimization and Machine Learning Research. Journal of Machine Learning Research. 7(46). 1265–1281. 98 indexed citations
11.
Salasznyk, Roman M., et al.. (2005). Comparing the Protein Expression Profiles of Human Mesenchymal Stem Cells and Human Osteoblasts Using Gene Ontologies. Stem Cells and Development. 14(4). 354–366. 51 indexed citations
12.
Salasznyk, Roman M., et al.. (2005). Focusing of Gene Expression as the Basis of Stem Cell Differentiation. Stem Cells and Development. 14(6). 608–620. 22 indexed citations
13.
Bennett, Kristin P.. (2003). An Optimization Perspective on Kernel Partial Least Squares Regression. 28(66). e202202407–e202202407. 61 indexed citations
14.
Bi, Jinbo & Kristin P. Bennett. (2003). Regression error characteristic curves. International Conference on Machine Learning. 43–50. 141 indexed citations
15.
Bennett, Kristin P., Patricia Bradley, & Ayhan Demiriz. (2000). Constrained K-Means Clustering. 8–7. 230 indexed citations
16.
Campbell, Colin & Kristin P. Bennett. (2000). A Linear Programming Approach to Novelty Detection. Neural Information Processing Systems. 13. 395–401. 138 indexed citations
17.
Wu, Donghui, Kristin P. Bennett, Nello Cristianini, & John Shawe‐Taylor. (1999). Large Margin Trees for Induction and Transduction. UCL Discovery (University College London). 474–483. 16 indexed citations
18.
Wu, Donghui, Kristin P. Bennett, Nello Cristianini, & John Shawe‐Taylor. (1999). Large Margin Decision Trees for Induction and Transduction. ePrints Soton (University of Southampton). 8 indexed citations
19.
Bennett, Kristin P. & Ayhan Demiriz. (1998). Semi-Supervised Support Vector Machines. Neural Information Processing Systems. 11. 368–374. 557 indexed citations breakdown →
20.
Bennett, Kristin P., Michael C. Ferris, & Yannis Ioannidis. (1991). A Genetic Algorithm for Database Query Optimization. Minds at UW (University of Wisconsin). 400–407. 72 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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