World's Best Scientists 2026 revealed!
Journal of Mathematical Biology
H-index 22

Journal of Mathematical Biology

0303-6812

Published by: Springer

https://www.springer.com/journal/285

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 109 65 108 17

Additional Metrics

Number of Best Scientists*: 162
Documents by Best Scientists*: 203
Top 100 Ranked Scientists*: 11
SCIMAGO H-index: 111
SCIMAGO SJR: 0.921
Impact Factor: 2.3

Overview

Top Research Topics at Journal of Mathematical Biology?

The journal mostly deals with topics like Applied mathematics, Statistical physics, Mathematical analysis, Ecology and Statistics. The work on Applied mathematics tackled in the journal brings together disciplines like Control theory, Mathematical optimization and Stability (probability). The study on Statistical physics presented is investigated in conjunction with research in Stochastic process.

The Mathematical analysis study featured in the journal draws connections with the study of Nonlinear system. It connects research in Ecology with the related topic of Biological dispersal.

  • Applied mathematics (15.34%)
  • Statistical physics (13.39%)
  • Mathematical analysis (12.41%)

What are the most cited papers published in the journal?

  • On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations (3209 citations)
  • Simplified neuron model as a principal component analyzer (1901 citations)
  • A user’s guide to PDE models for chemotaxis (1139 citations)

Research areas of the most cited articles at Journal of Mathematical Biology:

Mathematical analysis, Statistical physics, Applied mathematics, Control theory and Stability (probability) are the main subjects of interest in the most cited papers. The journal publications with studies in Statistical physics featured incorporate elements of Stochastic process, Dynamics (mechanics) and Constant (mathematics). The featured Applied mathematics studies in the published articles mainly concentrate on Mathematical optimization but also cover areas of interest in Nonlinear system.

What topics the last edition of the journal is best known for?

  • Gene
  • Quantum mechanics
  • Ecology

The previous edition focused in particular on these issues:

Journal of Mathematical Biology investigates studies in Statistical physics, Applied mathematics, Combinatorics, Biological system and Reaction–diffusion system. The studies in Statistical physics featured incorporate elements of Duality (optimization), Dynamical system, Selection (genetic algorithm), Stochastic differential equation and Nonlinear system. It focuses on Applied mathematics but the discussions also offer insight into other areas such as Stochastic modelling, Epidemic model and Ordinary differential equation, Differential equation.

Issues in Stochastic modelling were discussed, taking into consideration concepts from other disciplines like Stochastic process and Class (set theory). The concepts on Biological system presented in Journal of Mathematical Biology can also apply to other research fields, including Asymmetric cell division, Polarity (physics) and Bounded function. The Reaction–diffusion system works featured in the journal incorporate elements from Traveling wave, Mathematical model and Diffusion (business).

The most cited articles from the last journal are:

  • Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs (17 citations)
  • Turing conditions for pattern forming systems on evolving manifolds (17 citations)
  • Control with uncertain data of socially structured compartmental epidemic models. (16 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Journal of Mathematical Biology (based on the number of publications) are:

  • Philip K. Maini (31 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Johan A. J. Metz (28 papers) absent at the last edition,
  • Helen M. Byrne (26 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Odo Diekmann (26 papers) absent at the last edition,
  • Mark A. Lewis (24 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Mathematical Biology (based on the number of publications) are:

  • University of Oxford (81 papers) published 4 papers at the last edition, 4 less than at the previous edition,
  • University of Alberta (63 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Arizona State University (61 papers) published 2 papers at the last edition the same number as at the previous edition,
  • University of Vienna (48 papers) absent at the last edition,
  • University of Nottingham (47 papers) published 3 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 5.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.57% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.65% of all publications and 62.61% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Control with uncertain data of socially structured compartmental epidemic models.

    Giacomo Albi;Lorenzo Pareschi;Mattia Zanella

    (2021)
    57 Citations
  • Kinetic models for epidemic dynamics with social heterogeneity.

    G. Dimarco;B. Perthame;G. Toscani;M. Zanella

    (2021)
    57 Citations
  • Spatial movement with distributed memory

    Qingyan Shi;Junping Shi;Hao Wang

    (2021)
    52 Citations
  • Asymptotic profiles of the steady states for an SIS epidemic patch model with asymmetric connectivity matrix

    Shanshan Chen;Junping Shi;Zhisheng Shuai;Yixiang Wu

    (2020)
    40 Citations
  • Permanence via invasion graphs: incorporating community assembly into modern coexistence theory

    (2022)
    34 Citations
  • Localized outbreaks in an S-I-R model with diffusion

    Chunyi Gai;David Iron;Theodore Kolokolnikov

    (2020)
    32 Citations
  • Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data

    (2022)
    27 Citations
  • Maximizing the total population with logistic growth in a patchy environment.

    Kentaro Nagahara;Yuan Lou;Eiji Yanagida

    (2021)
    25 Citations
  • On the qualitative study of a two-trophic plant–herbivore model

    (2022)
    24 Citations
  • Mathematical analysis on an age-structured SIS epidemic model with nonlocal diffusion.

    Hao Kang;Shigui Ruan

    (2021)
    24 Citations

Related Online Degrees & Career Pathways

Studying Mathematics in the USA opens a wide range of career opportunities, but many students also explore complementary fields to enhance their skill sets. Online business degree programs accredited offer flexible options for those interested in combining analytical skills with business acumen. These degrees can help bridge the gap between theoretical math and practical applications in the business world.

For professionals aiming for leadership roles, an executive mba online provides an affordable way to gain advanced business knowledge without sacrificing work commitments. Many programs now emphasize accessibility, with some MBA options available with no test requirements, such as mba without gmat programs. These options reduce barriers for math graduates transitioning into management or entrepreneurial roles.

Additionally, acquiring administrative skills through an office administration degree online can complement a mathematical background, especially in fields requiring project management or operational oversight. Each pathway brings unique opportunities, whether it’s climbing the corporate ladder, starting a business, or enhancing your technical expertise.

Exploring these related online degrees can provide math students and professionals with diverse career pathways, equipping them for success in the evolving job market.

Best Scientists Contributing to This Journal

Recently Published Articles