Paul Bendich

757 total citations
24 papers, 353 citations indexed

About

Paul Bendich is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paul Bendich has authored 24 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 8 papers in Mathematical Physics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paul Bendich's work include Topological and Geometric Data Analysis (22 papers), Homotopy and Cohomology in Algebraic Topology (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Paul Bendich is often cited by papers focused on Topological and Geometric Data Analysis (22 papers), Homotopy and Cohomology in Algebraic Topology (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Paul Bendich collaborates with scholars based in United States, Austria and India. Paul Bendich's co-authors include Herbert Edelsbrunner, John Harer, J. S. Marron, Ezra Miller, Michael Kerber, Sayan Mukherjee, Bei Wang, Dmitriy Morozov, David Cohen‐Steiner and Elizabeth Munch and has published in prestigious journals such as Geophysical Research Letters, Pattern Recognition Letters and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Paul Bendich

21 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Bendich United States	9	276	93	61	56	55	24	353
Hamid Krim United States	9	181 0.7×	46 0.5×	33 0.5×	31 0.6×	50 0.9×	19	313
Vidit Nanda United Kingdom	9	398 1.4×	94 1.0×	177 2.9×	85 1.5×	51 0.9×	29	448
Slobodan Maletić Serbia	8	134 0.5×	19 0.2×	32 0.5×	48 0.9×	29 0.5×	16	256
Danijela Horak Germany	5	197 0.7×	25 0.3×	52 0.9×	64 1.1×	23 0.4×	6	264
Jie Wu Singapore	17	343 1.2×	36 0.4×	430 7.0×	168 3.0×	19 0.3×	113	795
Dmitry N. Kozlov Germany	12	565 2.0×	17 0.2×	379 6.2×	38 0.7×	47 0.9×	50	703
José A. Perea United States	7	289 1.0×	65 0.7×	56 0.9×	55 1.0×	60 1.1×	16	357
Rocı́o González-Dı́az Spain	11	236 0.9×	50 0.5×	72 1.2×	46 0.8×	107 1.9×	39	352
Omer Bobrowski Israel	10	152 0.6×	19 0.2×	47 0.8×	21 0.4×	17 0.3×	21	211
Emil Saucan Israel	11	169 0.6×	14 0.2×	21 0.3×	52 0.9×	80 1.5×	55	397

Countries citing papers authored by Paul Bendich

Since Specialization

Citations

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

Fields of papers citing papers by Paul Bendich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Bendich

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

Jin, Yinzhu, et al.. (2024). Implications of data topology for deep generative models. Frontiers in Computer Science. 6.

Bendich, Paul, et al.. (2024). Convolutional persistence transforms. 8(7). 1981–2013. 1 indexed citations

Borggren, N., et al.. (2023). Topological Simplification of Signals for Inference and Approximate Reconstruction. 1281. 1–11. 1 indexed citations

Bendich, Paul, et al.. (2022). Topological Feature Tracking for Submesoscale Eddies. Geophysical Research Letters. 49(20).

Bendich, Paul, et al.. (2020). Persistent homology analysis of brain artery trees. UNC Libraries.

Bendich, Paul, et al.. (2020). Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series. 1–12. 1 indexed citations

Bendich, Paul, et al.. (2019). Stabilizing the unstable output of persistent homology computations. arXiv (Cornell University). 4(2). 309–338. 4 indexed citations

Liu, Fang, et al.. (2018). Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration. 313. 1–8. 12 indexed citations

Bendich, Paul, et al.. (2016). Persistent homology analysis of brain artery trees. The Annals of Applied Statistics. 10(1). 198–218. 127 indexed citations

10.

Munch, Elizabeth, Katharine Turner, Paul Bendich, et al.. (2015). Probabilistic Fréchet means for time varying persistence diagrams. Electronic Journal of Statistics. 9(1). 26 indexed citations

11.

Bendich, Paul, et al.. (2015). Cover Song Identification With Timbral Shape Sequences.. arXiv (Cornell University). 38–44. 4 indexed citations

12.

Rouse, David, David W. Porter, John Harer, et al.. (2015). Feature-aided multiple hypothesis tracking using topological and statistical behavior classifiers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9474. 94740L–94740L. 9 indexed citations

13.

Munch, Elizabeth, Paul Bendich, Katharine Turner, et al.. (2013). Probabilistic Fréchet Means and Statistics on Vineyards.. arXiv (Cornell University). 5 indexed citations

14.

Bendich, Paul, Bei Wang, & Sayan Mukherjee. (2012). Local Homology Transfer and Stratification Learning. 1355–1370. 15 indexed citations

15.

Bendich, Paul, et al.. (2011). Improving homology estimates with random walks. Inverse Problems. 27(12). 124002–124002. 4 indexed citations

16.

Bendich, Paul, Sayan Mukherjee, & Bei Wang. (2010). Stratification Learning through Homology Inference. National Conference on Artificial Intelligence. 2 indexed citations

17.

Bendich, Paul, Herbert Edelsbrunner, & Michael Kerber. (2010). Computing Robustness and Persistence for Images. IEEE Transactions on Visualization and Computer Graphics. 16(6). 1251–1260. 65 indexed citations

18.

Bendich, Paul, et al.. (2008). Versions of Intersection and Local Homology. 1 indexed citations

19.

Bendich, Paul, David Cohen‐Steiner, Herbert Edelsbrunner, John Harer, & Dmitriy Morozov. (2007). Inferring Local Homology from Sampled Stratified Spaces. 2 indexed citations

20.

Bendich, Paul, Bei Wang, & Sayan Mukherjee. (1959). Local homology transfer and stratification learning. PubMed Central. 24(4). 1355–1370. 15 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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