Scott E. Decatur

552 total citations
17 papers, 281 citations indexed

About

Scott E. Decatur is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Scott E. Decatur has authored 17 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Scott E. Decatur's work include Machine Learning and Algorithms (11 papers), Algorithms and Data Compression (10 papers) and Complexity and Algorithms in Graphs (4 papers). Scott E. Decatur is often cited by papers focused on Machine Learning and Algorithms (11 papers), Algorithms and Data Compression (10 papers) and Complexity and Algorithms in Graphs (4 papers). Scott E. Decatur collaborates with scholars based in United States, Canada and Israel. Scott E. Decatur's co-authors include Javed A. Aslam, Javed Aslam, Sridhar Hannenhalli, Richa Agarwala, S. Muthukrishnan, Steven Skiena, Vlado Dančík, Serafim Batzoglou, Martı́n Farach-Colton and Rosario Gennaro and has published in prestigious journals such as SIAM Journal on Computing, Journal of Computer and System Sciences and Journal of Computational Biology.

In The Last Decade

Scott E. Decatur

16 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott E. Decatur United States	10	218	85	77	28	20	17	281
Volker Heun Germany	7	109 0.5×	78 0.9×	45 0.6×	14 0.5×	48 2.4×	16	185
Danièle Beauquier France	8	117 0.5×	55 0.6×	197 2.6×	14 0.5×	18 0.9×	22	246
Tomasz Waleń Poland	10	182 0.8×	213 2.5×	90 1.2×	27 1.0×	15 0.8×	40	334
Aaron Williams Canada	11	224 1.0×	65 0.8×	193 2.5×	7 0.3×	10 0.5×	57	348
Carola Winzen Germany	10	196 0.9×	24 0.3×	114 1.5×	3 0.1×	26 1.3×	16	249
Christian Choffrut France	12	237 1.1×	115 1.4×	352 4.6×	3 0.1×	37 1.9×	59	400
Fabrizio Frasca Italy	2	101 0.5×	18 0.2×	22 0.3×	16 0.6×	11 0.6×	5	144
A. Ehrenfeucht United States	7	172 0.8×	47 0.6×	154 2.0×	2 0.1×	13 0.7×	19	241
Serafino Amoroso United States	8	59 0.3×	151 1.8×	277 3.6×	14 0.5×	23 1.1×	12	321
Yuning You United States	6	143 0.7×	37 0.4×	28 0.4×	15 0.5×	7 0.3×	8	190

Countries citing papers authored by Scott E. Decatur

Since Specialization

Citations

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

Fields of papers citing papers by Scott E. Decatur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott E. Decatur. 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 Scott E. Decatur. The network helps show where Scott E. Decatur may publish in the future.

Co-authorship network of co-authors of Scott E. Decatur

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

All Works

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17 of 17 papers shown

Aslam, Javed A. & Scott E. Decatur. (2002). General bounds on statistical query learning and PAC learning with noise via hypothesis boosting. 282–291. 5 indexed citations

Decatur, Scott E., Oded Goldreich, & Dana Ron. (2000). Computational Sample Complexity. SIAM Journal on Computing. 29(3). 854–879. 14 indexed citations

Aslam, Javed A. & Scott E. Decatur. (1998). General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting. Information and Computation. 141(2). 85–118. 11 indexed citations

Aslam, Javed & Scott E. Decatur. (1998). Specification and Simulation of Statistical Query Algorithms for Efficiency and Noise Tolerance. Journal of Computer and System Sciences. 56(2). 191–208. 12 indexed citations

Decatur, Scott E.. (1997). PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction. International Conference on Machine Learning. 83–91. 10 indexed citations

Agarwala, Richa, Serafim Batzoglou, Vlado Dančík, et al.. (1997). Local rules for protein folding on a triangular lattice and generalized hydrophobicity in the HP model. Symposium on Discrete Algorithms. 390–399. 5 indexed citations

Agarwala, Richa, Serafim Batzoglou, Vlado Dančík, et al.. (1997). Local Rules for Protein Folding on a Triangular Lattice and Generalized Hydrophobicity in the HP Model. Journal of Computational Biology. 4(3). 275–296. 36 indexed citations

Decatur, Scott E., Oded Goldreich, & Dana Ron. (1997). Computational sample complexity. 130–142. 5 indexed citations

Agarwala, Richa, Serafim Batzoglou, Vlado Dančík, et al.. (1997). Local rules for protein folding on a triangular lattice and generalized hydrophobicity in the HP model. 1–2. 49 indexed citations

10.

Aslam, Javed A. & Scott E. Decatur. (1996). On the sample complexity of noise-tolerant learning. Information Processing Letters. 57(4). 189–195. 40 indexed citations

11.

Decatur, Scott E. & Rosario Gennaro. (1995). On learning from noisy and incomplete examples. 353–360. 17 indexed citations

12.

Bshouty, Nader H., Zhixiang Chen, Scott E. Decatur, & Steven Homer. (1995). On the learnability of Z_n-DNF formulas (extended abstract). 198–205. 1 indexed citations

13.

Valiant, Leslie G. & Scott E. Decatur. (1995). Efficient learning from faulty data. 4 indexed citations

14.

Aslam, Javed & Scott E. Decatur. (1995). Specification and simulation of statistical query algorithms for efficiency and noise tolerance. 437–446. 30 indexed citations

15.

Aslam, Javed & Scott E. Decatur. (1994). Improved Noise-Tolerant Learning and Generalized Statistical Queries. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 4 indexed citations

16.

Decatur, Scott E.. (1993). Statistical queries and faulty PAC oracles. 262–268. 35 indexed citations

17.

Decatur, Scott E.. (1989). Application of neural networks to terrain classification. Medical Entomology and Zoology. 1. 283–288. 3 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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