D. B. A. Epstein

5.3k total citations · 1 hit paper
84 papers, 2.9k citations indexed

About

D. B. A. Epstein is a scholar working on Geometry and Topology, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, D. B. A. Epstein has authored 84 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Geometry and Topology, 26 papers in Mathematical Physics and 15 papers in Computational Theory and Mathematics. Recurrent topics in D. B. A. Epstein's work include Geometric and Algebraic Topology (22 papers), Mathematical Dynamics and Fractals (14 papers) and Cell Image Analysis Techniques (11 papers). D. B. A. Epstein is often cited by papers focused on Geometric and Algebraic Topology (22 papers), Mathematical Dynamics and Fractals (14 papers) and Cell Image Analysis Techniques (11 papers). D. B. A. Epstein collaborates with scholars based in United Kingdom, United States and Germany. D. B. A. Epstein's co-authors include Robert Penner, Nasir Rajpoot, Michael Khan, Albert Marden, Stella Pelengaris, Shan E Ahmed Raza, Linda Cheung, Koji Fujiwara, Simon Graham and William P. Thurston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

D. B. A. Epstein

83 papers receiving 2.5k citations

Hit Papers

Word Processing in Groups 1992 2026 2003 2014 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
D. B. A. Epstein United Kingdom 27 1.7k 1.2k 550 437 405 84 2.9k
Allen Hatcher United States 21 2.2k 1.3× 2.0k 1.6× 1.1k 1.9× 107 0.2× 463 1.1× 39 3.6k
H. Stärk United States 26 697 0.4× 371 0.3× 367 0.7× 250 0.6× 152 0.4× 112 2.4k
Edwin H. Spanier United States 24 1.4k 0.8× 1.4k 1.2× 1.4k 2.6× 650 1.5× 459 1.1× 53 3.5k
James R. Munkres United States 11 634 0.4× 597 0.5× 462 0.8× 82 0.2× 297 0.7× 24 1.7k
Robin Forman United States 14 262 0.2× 478 0.4× 726 1.3× 50 0.1× 95 0.2× 22 1.1k
Van Vu United States 27 557 0.3× 946 0.8× 288 0.5× 387 0.9× 290 0.7× 73 2.6k
Shmuel Weinberger United States 16 518 0.3× 696 0.6× 478 0.9× 49 0.1× 165 0.4× 100 1.1k
Gregory F. Lawler United States 28 404 0.2× 2.7k 2.2× 306 0.6× 225 0.5× 342 0.8× 97 3.7k
Harm Derksen United States 22 961 0.6× 329 0.3× 307 0.6× 285 0.7× 38 0.1× 83 2.0k
Samuel Eilenberg United States 26 1.8k 1.1× 1.7k 1.4× 893 1.6× 315 0.7× 168 0.4× 43 3.2k

Countries citing papers authored by D. B. A. Epstein

Since Specialization
Citations

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

Fields of papers citing papers by D. B. A. Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. B. A. Epstein. 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 D. B. A. Epstein. The network helps show where D. B. A. Epstein may publish in the future.

Co-authorship network of co-authors of D. B. A. Epstein

This figure shows the co-authorship network connecting the top 25 collaborators of D. B. A. Epstein. A scholar is included among the top collaborators of D. B. A. Epstein 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 D. B. A. Epstein. D. B. A. Epstein 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
1.
Graham, Simon, Quoc Dang Vu, Mostafa Jahanifar, et al.. (2022). TIAToolbox as an end-to-end library for advanced tissue image analytics. SHILAP Revista de lepidopterología. 2(1). 120–120. 52 indexed citations
2.
Sirinukunwattana, Korsuk, et al.. (2018). Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer. Scientific Reports. 8(1). 13692–13692. 38 indexed citations
3.
Raza, Shan E Ahmed, Linda Cheung, Muhammad Shaban, et al.. (2018). Micro-Net: A unified model for segmentation of various objects in microscopy images. Medical Image Analysis. 52. 160–173. 174 indexed citations
4.
Raza, Shan E Ahmed, Linda Cheung, D. B. A. Epstein, et al.. (2017). MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images. 337–340. 37 indexed citations
5.
Awan, Ruqayya, Korsuk Sirinukunwattana, D. B. A. Epstein, et al.. (2017). Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images. Scientific Reports. 7(1). 16852–16852. 105 indexed citations
6.
Raza, Shan E Ahmed, Ahmad Humayun, Sylvie Abouna, et al.. (2012). RAMTaB: Robust Alignment of Multi-Tag Bioimages. PLoS ONE. 7(2). e30894–e30894. 14 indexed citations
7.
Abouna, Sylvie, et al.. (2010). Non-β-cell progenitors of β-cells in pregnant mice. Organogenesis. 6(2). 125–133. 37 indexed citations
8.
Zervou, Sevasti, Asta Laiho, Attila Gyenesei, et al.. (2010). Short-term hyperglycaemia causes non-reversible changes in arterial gene expression in a fully ‘switchable’ in vivo mouse model of diabetes. Diabetologia. 53(12). 2676–2687. 5 indexed citations
9.
Maly, Alexander, D. B. A. Epstein, Karen Meir, & Jacob Pe’er. (2008). Histological criteria for grading of atypia in melanocytic conjunctival lesions. Pathology. 40(7). 676–681. 14 indexed citations
10.
Canary, Richard D., et al.. (2006). Fundamentals of Hyperbolic Manifolds: CONVEX HULLS IN HYPERBOLIC SPACE, A THEOREM OF SULLIVAN, AND MEASURED PLEATED SURFACES. Cambridge University Press eBooks. 13 indexed citations
11.
Canary, Richard D., D. B. A. Epstein, & Albert Marden. (2006). Fundamentals of hyperbolic geometry : selected expositions. Cambridge University Press eBooks. 9 indexed citations
12.
Canary, Richard D., D. B. A. Epstein, William P. Thurston, & S. J. Patterson. (2006). Fundamentals of Hyperbolic Manifolds. Cambridge University Press eBooks. 17 indexed citations
13.
Epstein, D. B. A. & Koji Fujiwara. (1997). The second bounded cohomology of word-hyperbolic groups. Topology. 36(6). 1275–1289. 52 indexed citations
14.
Epstein, D. B. A., Silvio Levy, & Rafael de la Llave. (1992). About this Journal. Experimental Mathematics. 1(1). 1–3. 15 indexed citations
15.
Epstein, D. B. A., Derek F. Holt, & Sarah Rees. (1991). The use of Knuth-Bendix methods to solve the wordproblem in automatic groups. Journal of Symbolic Computation. 12(4-5). 397–414. 24 indexed citations
16.
Bowditch, Brian H. & D. B. A. Epstein. (1988). Natural triangulations associated to a surface. Topology. 27(1). 91–117. 39 indexed citations
17.
Epstein, D. B. A. & Robert Penner. (1988). Euclidean decompositions of noncompact hyperbolic manifolds. Journal of Differential Geometry. 27(1). 118 indexed citations
18.
Epstein, D. B. A., et al.. (1987). Analytical and geometric aspects of hyperbolic space : Warwick and Durham 1984. Cambridge University Press eBooks. 1 indexed citations
19.
Epstein, D. B. A.. (1970). The simplicity of certain groups of homeomorphisms. Compositio Mathematica. 22(2). 165–173. 86 indexed citations
20.
Epstein, D. B. A.. (1965). Embedding Punctured Manifolds. Proceedings of the American Mathematical Society. 16(2). 175–175. 7 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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