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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vince Lyzinski United States 10 237 192 129 69 64 28 484
Donniell E. Fishkind United States 9 207 0.9× 149 0.8× 152 1.2× 38 0.6× 35 0.5× 23 468
Minh Tang United States 13 266 1.1× 349 1.8× 94 0.7× 99 1.4× 121 1.9× 46 644
Aiyou Chen United States 9 225 0.9× 348 1.8× 45 0.3× 21 0.3× 137 2.1× 19 623
Mikio L. Braun Germany 9 314 1.3× 43 0.2× 130 1.0× 95 1.4× 41 0.6× 16 597
Luh Yen Belgium 10 203 0.9× 220 1.1× 80 0.6× 12 0.2× 12 0.2× 12 470
Bin Qin China 13 180 0.8× 24 0.1× 89 0.7× 127 1.8× 26 0.4× 65 578
Amin Vahdat United States 5 180 0.8× 431 2.2× 86 0.7× 36 0.5× 13 0.2× 6 743
Stefano Galatolo Italy 15 58 0.2× 238 1.2× 38 0.3× 38 0.6× 36 0.6× 59 537
Aamir Anis United States 8 419 1.8× 254 1.3× 132 1.0× 33 0.5× 5 0.1× 12 563
Anup Rao United States 10 272 1.1× 140 0.7× 84 0.7× 5 0.1× 34 0.5× 28 413

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

20 of 20 papers shown
1.
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
2.
Sussman, Daniel L., et al.. (2022). Multiplex graph matching matched filters. Applied Network Science. 7(1). 2 indexed citations
3.
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.
4.
Lyzinski, Vince, et al.. (2022). Signed and unsigned partial information decompositions of continuous network interactions. Journal of Complex Networks. 10(5). 2 indexed citations
5.
Lyzinski, Vince & Daniel L. Sussman. (2020). Matchability of heterogeneous networks pairs [Image: see text]. PubMed Central. 4 indexed citations
6.
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
7.
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
8.
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
9.
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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