Samory Kpotufe

640 total citations
26 papers, 217 citations indexed

About

Samory Kpotufe is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Samory Kpotufe has authored 26 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Samory Kpotufe's work include Machine Learning and Algorithms (10 papers), Statistical Methods and Inference (8 papers) and Sparse and Compressive Sensing Techniques (5 papers). Samory Kpotufe is often cited by papers focused on Machine Learning and Algorithms (10 papers), Statistical Methods and Inference (8 papers) and Sparse and Compressive Sensing Techniques (5 papers). Samory Kpotufe collaborates with scholars based in United States, Germany and Portugal. Samory Kpotufe's co-authors include Sanjoy Dasgupta, Nakul Verma, Steve Hanneke, Vikas Garg, Kamalika Chaudhuri, Ulrike von Luxburg, Tajana Rosing, Michael D. Todd, Bernhard Schoelkopf and G. Park and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of Machine Learning Research.

In The Last Decade

Samory Kpotufe

23 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samory Kpotufe United States	9	120	70	35	32	19	26	217
Feihu Huang United States	10	164 1.4×	125 1.8×	15 0.4×	29 0.9×	45 2.4×	24	275
Stefano Ermon United States	8	99 0.8×	34 0.5×	18 0.5×	21 0.7×	13 0.7×	33	198
Maher Nouiehed United States	6	99 0.8×	13 0.2×	13 0.4×	36 1.1×	28 1.5×	10	180
Xinjia Chen United States	9	30 0.3×	24 0.3×	20 0.6×	13 0.4×	9 0.5×	46	202
Dongruo Zhou United States	6	150 1.3×	49 0.7×	9 0.3×	15 0.5×	48 2.5×	10	208
Vassilis Kalofolias Switzerland	5	113 0.9×	72 1.0×	7 0.2×	18 0.6×	63 3.3×	6	207
Alexander Nazin Russia	8	78 0.7×	12 0.2×	41 1.2×	23 0.7×	37 1.9×	23	249
Manolis C. Tsakiris China	9	87 0.7×	94 1.3×	11 0.3×	25 0.8×	94 4.9×	32	216
Roi Livni Israel	6	116 1.0×	48 0.7×	3 0.1×	13 0.4×	20 1.1×	17	187

Countries citing papers authored by Samory Kpotufe

Since Specialization

Citations

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

Fields of papers citing papers by Samory Kpotufe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samory Kpotufe

This figure shows the co-authorship network connecting the top 25 collaborators of Samory Kpotufe. A scholar is included among the top collaborators of Samory Kpotufe 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 Samory Kpotufe. Samory Kpotufe 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

Kpotufe, Samory, et al.. (2025). Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products. SIAM Journal on Mathematics of Data Science. 7(3). 1241–1264.

Farrar, Charles R., Gyuhae Park, Eric Flynn, et al.. (2024). SHMTools: a general-purpose software tool for SHM applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

Kpotufe, Samory, et al.. (2023). Classification Tree Pruning Under Covariate Shift. IEEE Transactions on Information Theory. 70(1). 456–481. 1 indexed citations

Kpotufe, Samory & Bharath K. Sriperumbudur. (2019). Kernel Sketching yields Kernel JL. arXiv (Cornell University). 1 indexed citations

Jiang, Heinrich, et al.. (2018). Quickshift++: Provably Good Initializations for Sample-Based Mean Shift. International Conference on Machine Learning. 2294–2303. 5 indexed citations

Locatelli, Andrea, Alexandra Carpentier, & Samory Kpotufe. (2017). Adaptivity to Noise Parameters in Nonparametric Active Learning. Conference on Learning Theory. 1383–1416. 4 indexed citations

Kpotufe, Samory. (2017). Lipschitz Density-Ratios, Structured Data, and Data-driven Tuning. International Conference on Artificial Intelligence and Statistics. 1320–1328. 2 indexed citations

Kpotufe, Samory & Nakul Verma. (2017). Time-accuracy tradeoffs in kernel prediction: controlling prediction quality. Journal of Machine Learning Research. 18(44). 1443–1471. 2 indexed citations

Kpotufe, Samory, Ruth Urner, & Shai Ben-David. (2015). Hierarchical Label Queries with Data-Dependent Partitions. Journal of Machine Learning Research. 40(2015). 1176–1189. 3 indexed citations

10.

Dasgupta, Sanjoy & Samory Kpotufe. (2014). Optimal rates for k-NN density and mode estimation. Neural Information Processing Systems. 27. 2555–2563. 9 indexed citations

11.

Trivedi, Shubhendu, Jialei Wang, Samory Kpotufe, & Gregory Shakhnarovich. (2014). A consistent estimator of the expected gradient outerproduct. 819–828. 1 indexed citations

12.

Kpotufe, Samory & Francesco Orabona. (2013). Regression-tree Tuning in a Streaming Setting. Max Planck Digital Library. 26. 1788–1796. 3 indexed citations

13.

Kpotufe, Samory & Vikas Garg. (2013). Adaptivity to Local Smoothness and Dimension in Kernel Regression. Max Planck Digital Library. 26. 3075–3083. 12 indexed citations

14.

Kpotufe, Samory, Eleni Sgouritsa, Dominik Janzing, & Bernhard Schoelkopf. (2013). Consistency of Causal Inference under the Additive Noise Model. arXiv (Cornell University). 478–486. 11 indexed citations

15.

Kpotufe, Samory & Abdeslam Boularias. (2012). Gradient Weights help Nonparametric Regressors. MPG.PuRe (Max Planck Society). 25. 2861–2869. 2 indexed citations

16.

Kpotufe, Samory & Sanjoy Dasgupta. (2012). A tree-based regressor that adapts to intrinsic dimension. Journal of Computer and System Sciences. 78(5). 1496–1515. 17 indexed citations

17.

Verma, Nakul, Samory Kpotufe, & Sanjoy Dasgupta. (2012). Which Spatial Partition Trees are Adaptive to Intrinsic Dimension?. arXiv (Cornell University). 565–574. 33 indexed citations

18.

Flynn, Eric, Samory Kpotufe, Elói Figueiredo, et al.. (2010). SHMTools: a new embeddable software package for SHM applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7647. 764717–764717. 3 indexed citations

19.

Kpotufe, Samory. (2009). Fast, smooth and adaptive regression in metric spaces. Neural Information Processing Systems. 22. 1024–1032. 5 indexed citations

20.

Todd, Michael D., David Mascareñas, Eric Flynn, et al.. (2007). A different approach to sensor networking for shm: Remote powering and interrogation with unmanned aerial vehicles. 29–43. 39 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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