🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Vince Lyzinski

University of Maryland, College Park

ORCID: 0000-0001-5594-8956
Computer SciencePhysics and AstronomyNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression

Biometrics(2025)10.1093/biomtc/ujaf027
Top 100%
0DataRank
Top 100%0 citations

Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong +2 more

Papers

Driven by 9 papers — median percentile 0. Top paper: “Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question”.

Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question

IEEE Transactions on Network Science and Engineering(2021)10.1109/tnse.2021.3086508
N/A
0.104DataRank · unranked
1 citations

Carey E. Priebe, Vince Lyzinski, Jesús Arroyo

The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks

PubMed(2020)10.48550/arxiv.2008.00163
N/A
0DataRank · unranked
4 citations

Avanti Athreya, Jesús Arroyo, William N. Frost, Evan S. Hill, Vince Lyzinski +1 more

On a complete and sufficient statistic for the correlated Bernoulli random graph model

Electronic Journal of Statistics(2021)10.1214/21-ejs1839
N/A
0DataRank · unranked
0 citations

Avanti Athreya, Lingyao Meng, Vince Lyzinski, Carey E. Priebe, Donniell E. Fishkind

Subgraph nomination: Query by Example Subgraph Retrieval in Networks

arXiv (Cornell University)(2021)10.48550/arxiv.2101.12430
N/A
0DataRank · unranked
0 citations

Carey E. Priebe, Hayden S. Helm, Vince Lyzinski, Al-Fahad Al-Qadhi

Subgraph nomination: query by example subgraph retrieval in networks

Statistics and Computing(2023)10.1007/s11222-023-10206-6
N/A
0DataRank · unranked
0 citations

Carey E. Priebe, Hayden S. Helm, Vince Lyzinski, Al-Fahad Al-Qadhi

Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression

arXiv (Cornell University)(2023)10.48550/arxiv.2310.18533
N/A
0DataRank · unranked
0 citations

Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong +2 more

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings

arXiv (Cornell University)(2024)10.48550/arxiv.2409.17544
N/A
0DataRank · unranked
0 citations

Michael W. Trosset, William N. Frost, Carey E. Priebe, Vince Lyzinski, Konstantinos Pantazis

Matchability of heterogeneous networks pairs [Image: see text]

PubMed Central(2020)10.1093/imaiai/iaz031
N/A
0DataRank · unranked
10 citations

Daniel L. Sussman, Vince Lyzinski

Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression

Biometrics(2025)10.1093/biomtc/ujaf027
Top 100%
0DataRank
Top 100%0 citations

Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong +2 more