The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Joseph M. Landsberg sits on this spectrum.
This scientist: 155 publications — 41st percentile
41% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Joseph M. Landsberg sits on this spectrum.
This scientist: 36 D-Index — 29th percentile
29% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Joseph M. Landsberg is affiliated with Texas A&M University in the United States. Their research primarily spans the fields of Mathematics and Computer Science, contributing substantially to several subfields including Computational Theory and Mathematics, Computational Mathematics, Algebra and Number Theory, Discrete Mathematics and Combinatorics, and Geometry and Topology.
Their work addresses a range of main topics such as Tensor decomposition and applications, Matrix Theory and Algorithms, Algebraic structures and combinatorial models, Finite Group Theory Research, Commutative Algebra and Its Applications, Advanced Topics in Algebra, and Digital Image Processing Techniques.
Landsberg's recent papers illustrate a focus on tensor theory and computational complexity. Notable publications include:
The frequent publication venues for their work include arXiv (Cornell University), Collectanea mathematica, Mathematische Annalen, Computational Complexity, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).
Landsberg has collaborated often with researchers such as Austin Conner, Fulvio Gesmundo, Emanuele Ventura, Han Huang, and Joachim Jelisiejew.
Their scholarly contributions also include a book published by the American Mathematical Society titled Quantum Computation and Quantum Information (2024), which has received citations within the academic community.
In recognition of their professional work, Landsberg was named a Fellow of the American Mathematical Society in 2017 for contributions encompassing differential geometry, geometry of projective varieties, representation theory, and complexity theory.
J. M. Landsberg
Thomas Ivey;Joseph Landsberg
J. M. Landsberg;Zach Teitler
Joseph M. Landsberg;Laurent Manivel
J. M. Landsberg;L. Manivel
J. M. Landsberg;Giorgio Ottaviani
Peter Bürgisser;J. M. Landsberg;Laurent Manivel;Jerzy Weyman
J.M Landsberg;J.M Landsberg;L Manivel;L Manivel
J. M. Landsberg
Jarosław Buczyński;Jarosław Buczyński;J.M. Landsberg
J.M. Landsberg;L. Manivel
J. M. Landsberg
J. M. Landsberg;Jerzy Weyman
Jarosław Buczyński;Adam Ginensky;J. M. Landsberg
J. M. Landsberg;Giorgio Maria Ottaviani
Joseph M. Landsberg;Laurent Manivel
J.M. Landsberg;L. Manivel
J. M. Landsberg
Joseph M. Landsberg;Laurent Manivel
J. M. Landsberg
Peter Bürgisser;J. M. Landsberg;Laurent Manivel;Jerzy Weyman
Thomas Ivey;Joseph Landsberg
J. Landsberg
If you think any of the details on this page are incorrect, let us know.
Pursuing Mathematics in the USA opens doors to various interdisciplinary online degrees that complement analytical skills. For those interested in business applications, exploring marketing graduate programs can provide valuable insights into consumer behavior, data-driven decision-making, and strategic thinking.
Ambitious professionals often opt for a fast-tracked education route like 12 month mba programs, which blend advanced quantitative skills with leadership training. This approach is ideal for math graduates seeking swift career advancement.
Flexibility is another crucial factor. Many students look into online mba accepting transfer credits to build on prior coursework, reducing time and cost while balancing work and study effectively.
Additionally, the growing field of big data rewards those with strong mathematical backgrounds pursuing a masters data analytics. This degree equips students with skills to interpret complex data sets, preparing them for high-demand roles in business intelligence and technology sectors.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 14
Freie Universität Berlin
University of Guelph
University College London
University of Copenhagen
Stanford University
Columbia University
University of Milan
University of Puerto Rico
Syracuse University
Romanian Academy
The University of Texas at Austin
National Institute of Advanced Industrial Science and Technology
University of Lorraine
University of Edinburgh
University of Montana
University of Montpellier
