Youngser Park

2.7k total citations · 2 hit papers
36 papers, 1.2k citations indexed

About

Youngser Park is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Youngser Park has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 14 papers in Artificial Intelligence and 8 papers in Cognitive Neuroscience. Recurrent topics in Youngser Park's work include Complex Network Analysis Techniques (18 papers), Functional Brain Connectivity Studies (5 papers) and Opinion Dynamics and Social Influence (4 papers). Youngser Park is often cited by papers focused on Complex Network Analysis Techniques (18 papers), Functional Brain Connectivity Studies (5 papers) and Opinion Dynamics and Social Influence (4 papers). Youngser Park collaborates with scholars based in United States, United Kingdom and Denmark. Youngser Park's co-authors include Carey E. Priebe, John M. Conroy, David J. Marchette, Marta Zlatic, Joshua T Vogelstein, James W. Truman, Minh Tang, Albert Cardona, Richard D. Fetter and Ingrid Andrade and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Youngser Park

32 papers receiving 1.2k citations

Hit Papers

The complete connectome of a learning and memory centre i... 2017 2026 2020 2023 2017 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngser Park United States 13 382 284 274 210 177 36 1.2k
Fabio Stefanini Switzerland 15 819 2.1× 240 0.8× 431 1.6× 1.0k 4.9× 146 0.8× 21 2.6k
Saket Navlakha United States 20 126 0.3× 157 0.6× 215 0.8× 148 0.7× 144 0.8× 51 2.1k
Thomas Nowotny United Kingdom 25 1.0k 2.6× 219 0.8× 216 0.8× 942 4.5× 279 1.6× 104 1.9k
Hideyuki Suzuki Japan 23 416 1.1× 309 1.1× 205 0.7× 192 0.9× 89 0.5× 111 2.2k
Peter J. Thomas United States 23 404 1.1× 406 1.4× 142 0.5× 852 4.1× 104 0.6× 101 1.8k
David J. Schwab United States 17 253 0.7× 89 0.3× 136 0.5× 230 1.1× 103 0.6× 46 1.1k
Mark A. O’Neill United Kingdom 14 111 0.3× 149 0.5× 89 0.3× 833 4.0× 158 0.9× 32 1.6k
Phil Husbands United Kingdom 22 175 0.5× 65 0.2× 999 3.6× 525 2.5× 210 1.2× 128 2.1k
Naama Brenner Israel 19 628 1.6× 247 0.9× 119 0.4× 979 4.7× 225 1.3× 46 1.7k
Ashok Litwin-Kumar United States 20 1.2k 3.2× 215 0.8× 183 0.7× 1.3k 6.1× 263 1.5× 36 2.0k

Countries citing papers authored by Youngser Park

Since Specialization
Citations

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

Fields of papers citing papers by Youngser Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngser Park

This figure shows the co-authorship network connecting the top 25 collaborators of Youngser Park. A scholar is included among the top collaborators of Youngser Park 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 Youngser Park. Youngser Park 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.
Athreya, Avanti, et al.. (2025). Random line graphs and edge-attributed network inference. Bernoulli. 31(2). 1 indexed citations
2.
Žužul, Tiona, Emily Cox Pahnke, Jonathan Larson, et al.. (2024). Dynamic Silos: Increased Modularity and Decreased Stability in Intraorganizational Communication Networks During the COVID-19 Pandemic. Management Science. 71(4). 3428–3448. 2 indexed citations
3.
Arroyo, Jesús, Avanti Athreya, Joshua Cape, et al.. (2024). Multiple network embedding for anomaly detection in time series of graphs. Computational Statistics & Data Analysis. 203. 108070–108070.
4.
Athreya, Avanti, et al.. (2024). Euclidean Mirrors and Dynamics in Network Time Series. Journal of the American Statistical Association. 120(550). 1025–1036.
5.
Park, Youngser, et al.. (2023). Dynamic network sampling for community detection. Applied Network Science. 8(1). 2 indexed citations
6.
Winding, Michael, Benjamin D. Pedigo, Christopher L. Barnes, et al.. (2023). The connectome of an insect brain. Science. 379(6636). eadd9330–eadd9330. 155 indexed citations breakdown →
7.
Harrower, Michael J., et al.. (2022). Aksumite Settlement Patterns: Site Size Hierarchies and Spatial Clustering. Journal of Archaeological Research. 31(1). 103–146. 9 indexed citations
8.
Sussman, Daniel L., et al.. (2022). Multiplex graph matching matched filters. Applied Network Science. 7(1). 2 indexed citations
9.
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
10.
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
11.
Patsolic, Heather G., Youngser Park, Vince Lyzinski, & Carey E. Priebe. (2017). Vertex Nomination Via Local Neighborhood Matching. arXiv (Cornell University).
12.
Eichler, Katharina, Feng Li, Ashok Litwin-Kumar, et al.. (2017). The complete connectome of a learning and memory centre in an insect brain. Nature. 548(7666). 175–182. 300 indexed citations breakdown →
13.
Vogelstein, Joshua T, Youngser Park, Tomoko Ohyama, et al.. (2014). Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning. Science. 344(6182). 386–392. 147 indexed citations
14.
Wang, Heng, Minh Tang, Youngser Park, & Carey E. Priebe. (2014). Locality Statistics for Anomaly Detection in Time Series of Graphs. IEEE Transactions on Signal Processing. 62(3). 703–717. 56 indexed citations
15.
Tang, Minh, et al.. (2013). Attribute Fusion in a Latent Process Model for Time Series of Graphs. IEEE Transactions on Signal Processing. 61(7). 1721–1732. 5 indexed citations
16.
Park, Youngser, Carey E. Priebe, & Abdou Youssef. (2012). Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants. IEEE Journal of Selected Topics in Signal Processing. 7(1). 67–75. 41 indexed citations
17.
Park, Youngser, et al.. (2008). Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space. BioMed Research International. 2008(1). 694297–694297. 4 indexed citations
18.
Trosset, Michael W., Carey E. Priebe, Youngser Park, & Michael I. Miller. (2008). Semisupervised learning from dissimilarity data. Computational Statistics & Data Analysis. 52(10). 4643–4657. 15 indexed citations
19.
Miller, Michael I., Carey E. Priebe, Anqi Qiu, et al.. (2008). Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping. Human Brain Mapping. 30(7). 2132–2141. 39 indexed citations
20.
Priebe, Carey E., John M. Conroy, David J. Marchette, & Youngser Park. (2005). Scan Statistics on Enron Graphs. Computational and Mathematical Organization Theory. 11(3). 229–247. 187 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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