World's Best Scientists 2026 revealed!
Mathematical Biosciences
H-index 15

Mathematical Biosciences

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 313 23 33 9

Additional Metrics

Number of Best Scientists*: 118
Documents by Best Scientists*: 117
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 114
SCIMAGO SJR: 0.555
Impact Factor: 1.8

Overview

Top Research Topics at Bellman Prize in Mathematical Biosciences?

The journal was organized to reinforce research efforts on Applied mathematics, Statistics, Mathematical optimization, Ecology and Mathematical analysis. It holds forums on Applied mathematics that merges themes from other disciplines such as Differential equation, Stability (probability), Calculus and Nonlinear system. Statistics study tackled is connected to the field of Econometrics.

It centers on topics in Ecology, with a focus on Predation.

  • Applied mathematics (12.96%)
  • Statistics (11.07%)
  • Mathematical optimization (7.56%)

What are the most cited papers published in the journal?

  • Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission (4915 citations)
  • Evolutionary stable strategies and game dynamics (2320 citations)
  • A Theory of Cerebellar Function (2072 citations)

Research areas of the most cited articles at Bellman Prize in Mathematical Biosciences:

The most cited publications tackle a plethora of topics, such as Applied mathematics, Statistics, Ecology, Mathematical optimization and Control theory. The published articles explore issues in Applied mathematics which can be linked to other research areas like Calculus, Differential equation, Stability (probability) and Nonlinear system. The Statistics research tackled in the published papers is interrelated with Basic reproduction number which concerns subjects like Epidemic model and Immunology.

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

  • Internal medicine
  • Gene
  • Quantum mechanics

The previous edition focused in particular on these issues:

The main points discussed in the journal deals with Epidemic model, Coronavirus disease 2019 (COVID-19), Applied mathematics, Pandemic and Outbreak. Epidemic model research featured in Bellman Prize in Mathematical Biosciences incorporates concerns from various other topics such as Infectious disease (medical specialty), Optimal control, Actuarial science, Bayesian inference and Stochastic differential equation. It addresses concerns in Coronavirus disease 2019 (COVID-19) which are intertwined with other disciplines, such as Psychological intervention, Social network analysis, Econometrics and 2019-20 coronavirus outbreak.

The Applied mathematics works, particularly on Ode are tackled in the journal. Differential equation, Branching process and Basic reproduction number are some topics wherein Outbreak research discussed in the journal have an impact. In addition to Basic reproduction number research, Bellman Prize in Mathematical Biosciences aims to explore topics under Susceptible individual, Helper t-cells, Bifurcation, Dengue fever and Statistics.

The most cited articles from the last journal are:

  • COVID-19 optimal vaccination policies: A modeling study on efficacy, natural and vaccine-induced immunity responses. (10 citations)
  • Immunity after COVID-19: Protection or sensitization? (7 citations)
  • Optimal control of the SIR model in the presence of transmission and treatment uncertainty. (6 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 Bellman Prize in Mathematical Biosciences (based on the number of publications) are:

  • Charles J. Mode (41 papers) absent at the last edition,
  • John A. Jacquez (27 papers) absent at the last edition,
  • Richard Bellman (26 papers) absent at the last edition,
  • Eberhard O. Voit (26 papers) absent at the last edition,
  • Lawrence Stark (25 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 Bellman Prize in Mathematical Biosciences (based on the number of publications) are:

  • University of Michigan (92 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • University of Southern California (87 papers) absent at the last edition,
  • University of California, Berkeley (78 papers) absent at the last edition,
  • National Institutes of Health (73 papers) published 1 paper at the last edition,
  • Arizona State University (60 papers) published 1 paper at the last edition, 4 less 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, 1.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 71.43% 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

  • Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus.

    Calistus N. Ngonghala;Enahoro Iboi;Steffen E. Eikenberry;Matthew Scotch

    (2020)
    606 Citations
  • A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy.

    Ling Xue;Shuanglin Jing;Joel C. Miller;Wei Sun

    (2020)
    109 Citations
  • Could masks curtail the post-lockdown resurgence of COVID-19 in the US?

    Calistus N. Ngonghala;Enahoro A. Iboi;Abba B. Gumel

    (2020)
    109 Citations
  • A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology.

    Chiara Piazzola;Lorenzo Tamellini;Raúl Tempone;Raúl Tempone

    (2021)
    26 Citations
  • Lockdown measures and their impact on single- and two-age-structured epidemic model for the COVID-19 outbreak in Mexico.

    Jesús Cuevas-Maraver;Panayotis G. Kevrekidis;Qian-Yong Chen;George A. Kevrekidis

    (2021)
    21 Citations
  • Immunity after COVID-19: Protection or sensitization?

    Antoine Danchin;Gabriel Turinici

    (2021)
    17 Citations
  • Measuring differences between phenomenological growth models applied to epidemiology.

    Raimund Bürger;Gerardo Chowell;Leidy Yissedt Lara-Díaz

    (2021)
    13 Citations
  • Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading.

    Stefanie Winkelmann;Johannes Zonker;Christof Schütte;Christof Schütte;Nataša Djurdjevac Conrad

    (2021)
    12 Citations
  • Insecticide resistance and malaria control: A genetics-epidemiology modeling approach

    Jemal Mohammed-Awel;Enahoro A. Iboi;Abba B. Gumel

    (2020)
    11 Citations
  • Dynamics of a two-sex model for the population ecology of dengue mosquitoes in the presence of Wolbachia

    Rahim Taghikhani;Oluwaseun Sharomi;Abba B. Gumel;Abba B. Gumel

    (2020)
    9 Citations

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