Vitaliy Kurlin

1.8k total citations
62 papers, 432 citations indexed

About

Vitaliy Kurlin is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Geometry and Topology. According to data from OpenAlex, Vitaliy Kurlin has authored 62 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Theory and Mathematics, 20 papers in Materials Chemistry and 17 papers in Geometry and Topology. Recurrent topics in Vitaliy Kurlin's work include Topological and Geometric Data Analysis (19 papers), Geometric and Algebraic Topology (16 papers) and Machine Learning in Materials Science (10 papers). Vitaliy Kurlin is often cited by papers focused on Topological and Geometric Data Analysis (19 papers), Geometric and Algebraic Topology (16 papers) and Machine Learning in Materials Science (10 papers). Vitaliy Kurlin collaborates with scholars based in United Kingdom, United States and France. Vitaliy Kurlin's co-authors include Andrew I. Cooper, Matthew S. Dyer, Michael W. Gaultois, Matthew J. Rosseinsky, Grzegorz Muszyński, Angeles Pulido, C. Kearton, Prabhat, Michael Wehner and Karthik Kashinath and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and Scientific Reports.

In The Last Decade

Vitaliy Kurlin

57 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vitaliy Kurlin United Kingdom 11 181 165 59 47 45 62 432
Ulrich Bauer Germany 12 76 0.4× 261 1.6× 83 1.4× 20 0.4× 79 1.8× 33 524
K. J. Harrison Australia 12 163 0.9× 46 0.3× 15 0.3× 12 0.3× 23 0.5× 41 435
Egon Schulte United States 17 133 0.7× 255 1.5× 9 0.2× 508 10.8× 95 2.1× 73 1.0k
Alexander Smith United States 11 88 0.5× 223 1.4× 17 0.3× 9 0.2× 5 0.1× 30 582
Wolfgang Erb Germany 12 16 0.1× 41 0.2× 50 0.8× 8 0.2× 23 0.5× 53 426
Christophe A. N. Biscio Denmark 8 67 0.4× 72 0.4× 7 0.1× 21 0.4× 16 0.4× 30 261
Sachkov Vi Russia 11 75 0.4× 38 0.2× 9 0.2× 42 0.9× 79 1.8× 94 472
Lisbeth Fajstrup Denmark 10 60 0.3× 145 0.9× 5 0.1× 73 1.6× 91 2.0× 25 302
P. A. B. Pleasants Australia 11 176 1.0× 192 1.2× 13 0.2× 62 1.3× 129 2.9× 28 414
Adrian Ion Romania 13 156 0.9× 12 0.1× 173 2.9× 5 0.1× 4 0.1× 28 418

Countries citing papers authored by Vitaliy Kurlin

Since Specialization
Citations

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

Fields of papers citing papers by Vitaliy Kurlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vitaliy Kurlin

This figure shows the co-authorship network connecting the top 25 collaborators of Vitaliy Kurlin. A scholar is included among the top collaborators of Vitaliy Kurlin 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 Vitaliy Kurlin. Vitaliy Kurlin 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.
Wlodawer, Alexander, Zbigniew Dauter, Paweł Rubach, et al.. (2025). Duplicate entries in the Protein Data Bank: how to detect and handle them. Acta Crystallographica Section D Structural Biology. 81(4). 170–180. 3 indexed citations
2.
Kurlin, Vitaliy, et al.. (2025). Geographic-style maps with a local novelty distance help navigate in the materials space. Scientific Reports. 15(1). 27588–27588. 1 indexed citations
3.
Kurlin, Vitaliy, et al.. (2025). A Complete and Bi-Continuous Invariant of Protein Backbones under Rigid Motion. match Communications in Mathematical and in Computer Chemistry. 94(1). 97–134. 3 indexed citations
4.
Kurlin, Vitaliy, et al.. (2024). Material Property Prediction Using Graphs Based on Generically Complete Isometry Invariants. Integrating materials and manufacturing innovation. 13(2). 555–568. 6 indexed citations
5.
Kurlin, Vitaliy, et al.. (2024). The importance of definitions in crystallography. IUCrJ. 11(4). 453–463. 4 indexed citations
6.
Yan, Peiyao, et al.. (2024). A data-driven analysis of HDPE post-consumer recyclate for sustainable bottle packaging. Resources Conservation and Recycling. 205. 107538–107538. 6 indexed citations
7.
Kurlin, Vitaliy, et al.. (2024). Continuous Invariant-Based Maps of the Cambridge Structural Database. Crystal Growth & Design. 24(13). 5627–5636. 4 indexed citations
8.
Kurlin, Vitaliy, et al.. (2023). Density Functions of Periodic Sequences of Continuous Events. Journal of Mathematical Imaging and Vision. 65(5). 689–701. 6 indexed citations
9.
Cooper, Andrew I., et al.. (2023). Continuous chiral distances for two‐dimensional lattices. Chirality. 35(12). 920–936. 3 indexed citations
10.
Pulido, Angeles, et al.. (2020). Average Minimum Distances of periodic point sets. arXiv (Cornell University). 3 indexed citations
11.
Muszyński, Grzegorz, Karthik Kashinath, Vitaliy Kurlin, Michael Wehner, & Prabhat. (2019). Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets. Geoscientific model development. 12(2). 613–628. 31 indexed citations
12.
Kurlin, Vitaliy, et al.. (2018). A higher-dimensional homologically persistent skeleton. Advances in Applied Mathematics. 102. 113–142. 5 indexed citations
13.
Muszyński, Grzegorz, Vitaliy Kurlin, Karthik Kashinath, Michael Wehner, & Prabhat. (2018). Topological Data Analysis and Machine Learning for Classifying Atmospheric River Patterns in Large Climate Datasets. EGUGA. 10825. 1 indexed citations
14.
Kurlin, Vitaliy. (2015). A one‐dimensional homologically persistent skeleton of an unstructured point cloud in any metric space. Computer Graphics Forum. 34(5). 253–262. 18 indexed citations
15.
Fiedler, Thomas & Vitaliy Kurlin. (2010). A 1-parameter approach to links in a solid torus. Journal of the Mathematical Society of Japan. 62(1). 2 indexed citations
16.
Kurlin, Vitaliy. (2007). The Baker-Campbell-Hausdorff Formula in the Free Metabelian Lie Algebra. Journal of Lie theory. 17(3). 525–538. 2 indexed citations
17.
Kurlin, Vitaliy, Lyudmila Mihaylova, & Simon Maskell. (2007). How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability?. arXiv (Cornell University). 3 indexed citations
18.
Fiedler, Thomas & Vitaliy Kurlin. (2006). A one-parameter approach to knot theory. arXiv (Cornell University). 1 indexed citations
19.
Kurlin, Vitaliy. (2006). Exponential Baker-Campbell-Hausdorff formula and applications to formal vector fields. arXiv (Cornell University).
20.
Kurlin, Vitaliy. (2000). Basic embeddings into a product of graphs. Topology and its Applications. 102(2). 113–137. 4 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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