| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 260 | 55 | 53 | 10 |
The journal is mainly concerned with subjects like Pure mathematics, Mathematical analysis, Humanities, Algebra and Combinatorics. The journal features Pure mathematics research that overlaps with concepts in Type (model theory). The work on Mathematical analysis tackled in it brings together disciplines like Boundary (topology) and Nonlinear system.
The published papers focus largely on the fields of Mathematical analysis, Pure mathematics, Applied mathematics, Calculus and Bounded function. The most cited papers hold forums on Mathematical analysis that merge themes from other disciplines such as Degenerate energy levels and Nonlinear system. Discrete mathematics, Class (set theory) and Type (model theory) are some topics wherein Pure mathematics research discussed in the published papers has an impact.
The aim of the journal is to expand the discussion of research in Pure mathematics, Combinatorics, Mathematical analysis, Type (model theory) and Dimension (graph theory). The journal facilitates discussions on Pure mathematics that incorporate concepts from other fields like Kappa and Group (mathematics). The research on Combinatorics tackled can also make contributions to studies in the areas of Terminal (electronics), Fano plane and Binary number.
Topics in Mathematical analysis explored in the journal were investigated in conjunction with research in Probabilistic logic and Shear (sheet metal). Type (model theory) research featured in Annali Della Scuola Normale Superiore Di Pisa-classe Di Scienze incorporates concerns from various other topics such as Hölder condition, Cover (topology), Omega, Isomorphism class and Variational principle. While Dimension (graph theory) is the focus of it, it also provided insights into the studies of Homotopy, Curvature, Sequence, Blowing up and Quotient algebra.
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 Annali Della Scuola Normale Superiore Di Pisa-classe Di Scienze (based on the number of publications) are:
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 Annali Della Scuola Normale Superiore Di Pisa-classe Di Scienze (based on the number of publications) are:
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.
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, 81.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 50.00% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Rupert L. Frank;Elliott H. Lieb
(2021)Petteri Harjulehto;Peter Hästo;Mikyoung Lee
(2021)Sergio A. Albeverio;Seiichiro Kusuoka
(2020)Emmanuel Kowalski;Philippe Michel;Will Sawin
(2020)Federico Buseghin;Nicola Garofalo;Giulio Tralli
(2021)Alexander Grigor'yan;Igor E. Verbitsky
(2020)Lucia De Luca;Matteo Novaga;Marcello Ponsiglione
(2021)Mikko Parviainen;Juan Luis Vázquez
(2020)Exploring Mathematics in the USA often opens doors to diverse career opportunities. While pursuing a math degree, students may also consider related fields that complement analytical skills. For instance, many professionals enhance their qualifications with a masters in marketing, combining quantitative analysis with market strategy to excel in business environments.
Additionally, ambitious individuals may opt for streamlined graduate programs like a one year MBA, providing fast-tracked business leadership skills that complement a strong math foundation. This path is ideal for those aspiring to managerial roles or entrepreneurship.
For those interested in organizational dynamics, an online masters in human resource management offers a growing field where data-driven decision-making is highly valued. Math graduates can leverage their analytical expertise to optimize HR processes and strategies.
Finally, students seeking practical impact may explore healthcare through an online nursing school. Nursing combines science and compassion, and mathematical skills enhance competencies like dosage calculations and data analysis in medical settings.