Vince Lyzinski

1.4k total citations
28 papers, 484 citations indexed

About

Vince Lyzinski is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vince Lyzinski has authored 28 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Statistical and Nonlinear Physics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vince Lyzinski's work include Complex Network Analysis Techniques (12 papers), Advanced Graph Neural Networks (10 papers) and Graph Theory and Algorithms (8 papers). Vince Lyzinski is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Advanced Graph Neural Networks (10 papers) and Graph Theory and Algorithms (8 papers). Vince Lyzinski collaborates with scholars based in United States and Uruguay. Vince Lyzinski's co-authors include Carey E. Priebe, Minh Tang, Donniell E. Fishkind, Avanti Athreya, Joshua T Vogelstein, Daniel L. Sussman, Youngser Park, Keith Levin, Guillermo Sapiro and R. Jacob Vogelstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Vince Lyzinski

26 papers receiving 467 citations

Peers

Vince Lyzinski

SNP

CVPR

Donniell E. Fishkind United States

Minh Tang United States

Aiyou Chen United States

Mikio L. Braun Germany

Luh Yen Belgium

Bin Qin China

Amin Vahdat United States

Stefano Galatolo Italy

Aamir Anis United States

Anup Rao United States

Donniell E. Fishkind United States

Vince Lyzinski

207 ×0.9

149 ×0.8

SNP

152 ×1.2

CVPR

38 ×0.6

35 ×0.5

Citations per year, relative to Vince Lyzinski Vince Lyzinski (= 1×) peers Donniell E. Fishkind

Countries citing papers authored by Vince Lyzinski

Since Specialization

Citations

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

Fields of papers citing papers by Vince Lyzinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vince Lyzinski

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

Arroyo, Jesús, et al.. (2023). Clustered Graph Matching for Label Recovery and Graph Classification. IEEE Transactions on Network Science and Engineering. 10(6). 3384–3395. 1 indexed citations

Sussman, Daniel L., et al.. (2022). Multiplex graph matching matched filters. Applied Network Science. 7(1). 2 indexed citations

Lyzinski, Vince, et al.. (2022). Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming. Journal of Computational and Graphical Statistics. 31(4). 1254–1268.

Lyzinski, Vince, et al.. (2022). Signed and unsigned partial information decompositions of continuous network interactions. Journal of Complex Networks. 10(5). 2 indexed citations

Lyzinski, Vince & Daniel L. Sussman. (2020). Matchability of heterogeneous networks pairs [Image: see text]. PubMed Central. 4 indexed citations

Priebe, Carey E., Youngser Park, Joshua T Vogelstein, et al.. (2019). On a two-truths phenomenon in spectral graph clustering. Proceedings of the National Academy of Sciences. 116(13). 5995–6000. 33 indexed citations

Athreya, Avanti, Donniell E. Fishkind, Minh Tang, et al.. (2018). Statistical inference on random dot product graphs: a survey. Journal of Machine Learning Research. 18(226). 1–92. 47 indexed citations

Rastogi, Pushpendre, Adam Poliak, Vince Lyzinski, & Benjamin Van Durme. (2018). Neural variational entity set expansion for automatically populated knowledge graphs. Information Retrieval. 22(3-4). 232–255. 7 indexed citations

Patsolic, Heather G., Youngser Park, Vince Lyzinski, & Carey E. Priebe. (2017). Vertex Nomination Via Local Neighborhood Matching. arXiv (Cornell University).

10.

Levin, Keith, Avanti Athreya, Minh Tang, Vince Lyzinski, & Carey E. Priebe. (2017). A central limit theorem for an omnibus embedding of random dot product graphs. arXiv (Cornell University). 3 indexed citations

11.

Tang, Minh, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski, & Carey E. Priebe. (2017). A nonparametric two-sample hypothesis testing problem for random graphs. Bernoulli. 23(3). 33 indexed citations

12.

Chen, Li, Joshua T Vogelstein, Vince Lyzinski, & Carey E. Priebe. (2016). A joint graph inference case study: theC. eleganschemical and electrical connectomes. PubMed. 5(2). e1142041–e1142041. 5 indexed citations

13.

Levin, Keith & Vince Lyzinski. (2016). Laplacian Eigenmaps From Sparse, Noisy Similarity Measurements. IEEE Transactions on Signal Processing. 65(8). 1988–2003. 9 indexed citations

14.

Lyzinski, Vince, et al.. (2015). Graph Matching: Relax at Your Own Risk. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(1). 60–73. 67 indexed citations

15.

Vogelstein, Joshua T, et al.. (2015). Fast Approximate Quadratic Programming for Graph Matching. PLoS ONE. 10(4). e0121002–e0121002. 80 indexed citations

16.

Fishkind, Donniell E., Vince Lyzinski, Hsing-Kuo Pao, Lidian Chen, & Carey E. Priebe. (2015). Vertex nomination schemes for membership prediction. The Annals of Applied Statistics. 9(3). 7 indexed citations

17.

Lyzinski, Vince, Gregory Sell, & Aren Jansen. (2015). An evaluation of graph clustering methods for unsupervised term discovery. 3209–3213. 15 indexed citations

18.

Athreya, Avanti, Vince Lyzinski, David J. Marchette, et al.. (2013). A limit theorem for scaled eigenvectors of random dot product graphs. arXiv (Cornell University). 3 indexed citations

19.

Lyzinski, Vince, Donniell E. Fishkind, & Carey E. Priebe. (2013). Seeded graph matching for correlated Erdős-Rényi graphs. arXiv (Cornell University). 15(1). 3513–3540. 26 indexed citations

20.

Fill, James Allen & Vince Lyzinski. (2012). Hitting Times and Interlacing Eigenvalues: A Stochastic Approach Using Intertwinings. Journal of Theoretical Probability. 27(3). 954–981. 9 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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