2026 Seth Sullivant: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	35	2820	2521	1152	969	94	4011

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

2820

2521

1152

969

4011

Research.com Recognitions

2013 - Fellow of the American Mathematical Society

Overview

Seth Sullivant is affiliated with North Carolina State University in the United States. Their research spans multiple fields with a primary focus on computer science and mathematics, encompassing 25 and 16 publications respectively.

The scientist's work extends into various subfields, including:

Artificial Intelligence
Computational Theory and Mathematics
Molecular Biology
Discrete Mathematics and Combinatorics
Geometry and Topology

Sullivant's research topics cover a range of areas such as:

Bayesian Modeling and Causal Inference
Advanced Combinatorial Mathematics
Topological and Geometric Data Analysis
Algebraic structures and combinatorial models
Mass Spectrometry Techniques and Applications
Gene Regulatory Network Analysis
Bayesian Methods and Mixture Models

Sullivant has contributed many papers, notably:

Toric geometry of the Cavender-Farris-Neyman model with a molecular clock, 2020, Advances in Applied Mathematics
Quasi-independence models with rational maximum likelihood estimator, 2020, Journal of Symbolic Computation
Identifiability of linear compartmental tree models and a general formula for input-output equations, 2023, Advances in Applied Mathematics
IDENTIFIABILITY OF PHYLOGENETIC LEVEL-2 NETWORKS UNDER THE JUKES-CANTOR MODEL, 2025, bioRxiv (Cold Spring Harbor Laboratory)
Identifiability in phylogenetics using algebraic matroids, 2020, Journal of Symbolic Computation

Their frequent co-authors include:

Jane Ivy Coons
Cashous Bortner
Elizabeth Gross
Benjamin Hollering
Bryson Kagy

The primary publication venues for Sullivant's work are:

arXiv (Cornell University)
Advances in Applied Mathematics
Journal of Symbolic Computation
Algebraic Statistics
bioRxiv (Cold Spring Harbor Laboratory)

Seth Sullivant was recognized as a Fellow of the American Mathematical Society in 2013.

Best Publications

Lectures on Algebraic Statistics

Mathias Drton;Bernd Sturmfels;Seth Sullivant

583
Citations
Toric ideals of phylogenetic invariants.

Bernd Sturmfels;Seth Sullivant

200
Citations
Gaussian conditional independence relations have no finite complete characterization

Seth Sullivant

136
Citations
Sequential importance sampling for multiway tables

Yuguo Chen;Ian H Dinwoodie;Seth Sullivant

122
Citations
Trek separation for Gaussian graphical models

Seth Sullivant;Kelli Talaska;Jan Draisma

119
Citations
Finite Gröbner bases in infinite dimensional polynomial rings and applications

Christopher J. Hillar;Seth Sullivant

113
Citations
Algebraic factor analysis: tetrads, pentads and beyond

Mathias Drton;Bernd Sturmfels;Seth Sullivant

106
Citations
Toric fiber products

Seth Sullivant

102
Citations
Algebraic Statistics

Seth Sullivant

99
Citations
Combinatorial symbolic powers

Seth Sullivant

99
Citations
A finiteness theorem for Markov bases of hierarchical models

Serkan Hoşten;Seth Sullivant

98
Citations
Combinatorial Secant Varieties

Bernd Sturmfels;Seth Sullivant

93
Citations
Global identifiability of linear structural equation models

Mathias Drton;Rina Foygel;Seth Sullivant

92
Citations
Gröbner bases and polyhedral geometry of reducible and cyclic models

Serkan Hosten;Seth Sullivant

92
Citations
Compressed polytopes and statistical disclosure limitation

Seth Sullivant

91
Citations
Phylogenetic Algebraic Geometry

Nicholas Eriksson;Kristian Ranestad;Bernd Sturmfels;Seth Sullivant

86
Citations
Identifiable reparametrizations of linear compartment models

Nicolette Meshkat;Seth Sullivant

73
Citations
A Divide-and-Conquer Algorithm for Generating Markov Bases of Multi-way Tables

Adrian Dobra;Seth Sullivant

70
Citations
Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models

Nicholas Eriksson;Stephen E. Fienberg;Alessandro Rinaldo;Seth Sullivant

67
Citations
Algebraic statistical models

Mathias Drton;Seth Sullivant

65
Citations
Emerging applications of algebraic geometry

Mihai Putinar;Seth Sullivant

59
Citations
Toric ideals of phylogenetic invariants

Bernd Sturmfels;Seth Sullivant

17
Citations
Algebraic Factor Analysis: Tetrads, Pentads and Beyond

Mathias Drton;Bernd Sturmfels;Seth Sullivant

7
Citations

Frequent Co-Authors

Bernd Sturmfels Max Planck Institute for Mathematics in the Sciences

Mathias Drton Technical University of Munich

Niko Beerenwinkel ETH Zurich

Stephen E. Fienberg Carnegie Mellon University

Mike Steel University of Canterbury

Alessandro Rinaldo The University of Texas at Austin

Mihai Putinar University of California, Santa Barbara

External Links

Personal website of Seth Sullivant Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

For students interested in broadening their career prospects beyond Mathematics, exploring related online degrees can be beneficial. Business degrees like the easiest online mba program offer flexible pathways to develop managerial and leadership skills, complementing analytical backgrounds with practical business knowledge.

Professionals aiming for top-tier business roles may consider the cheapest aacsb online dba, which provides advanced expertise in business administration with a focus on research and strategy, ideal for those targeting executive or academic careers.

For career advancement in finance, a critical field intertwined with mathematics, pursuing the best online masters in finance equips graduates with essential skills in financial analysis, risk management, and investment strategies.

Students seeking quicker credentialing might find the fastest mba programs online appealing for its accelerated timelines, making it easier to enter the workforce or switch careers without prolonged study periods.