2026 Journal Metrics Score
0.0
Updated August 2026 · 2-year citation average from OpenAlex data
The Journal Metrics Score is the two-year mean citedness of a journal, computed from OpenAlex (CC0) data: citations received in the most recent complete year to works published in the two prior years, divided by the number of those works. Quartiles rank journals within each OpenAlex subfield by score. Data source: OpenAlex (CC0).
Bookmark this page — track this journal's Journal Metrics Score, quartile and field rankings with every OpenAlex data release.
| Category | Quartile |
|---|---|
| Applied Mathematics | Q4 |
A lower-cited Q4 journal by citation data
By citation data, Bruno Pini Mathematical Analysis Seminar is in the lowest quartile in Applied Mathematics and ranks #997 of 1,040 Mathematics journals by Journal Metrics Score (top 96%). A Q4 placement means its papers are cited less than most in the subfield; on its own it does not mean the journal is predatory or that its peer review is weak. Bruno Pini Mathematical Analysis Seminar's 2026 Journal Metrics Score is 0.0. OpenAlex classifies its papers in subfields including Applied Mathematics, so check that your topic fits its scope.
Verdict from citation data only: quartile and field rank by Journal Metrics Score (OpenAlex), publisher-reported acceptance rates, and PubMed submission and acceptance dates. See how we rank journals and how to verify indexing.
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Bruno Pini Mathematical Analysis Seminar's 2026 Journal Metrics Score is 0.0, updated August 2026 from OpenAlex citation data. The journal is ranked Q4 in this Journal Metrics record.
OpenAlex lists these research topics for Bruno Pini Mathematical Analysis Seminar's papers: Nonlinear Partial Differential Equations, Nonlinear Differential Equations Analysis, Holomorphic and Operator Theory, and Geometric Analysis and Curvature Flows.
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Ranked #997 in Mathematics by Journal Metrics Score and #146 among Q4 Mathematics journals. This context helps compare Bruno Pini Mathematical Analysis Seminar against journals publishing in the same field.
Published 11 papers across the last 2 recorded years with a current Journal Metrics Score of 0.0.
Source: the current OpenAlex source record. OpenAlex works can include multiple work types. Fully Open Access is a source-level flag. Recent OA Works is summed from OpenAlex's counts_by_year series (up to the latest ten years); it is not a lifetime OA percentage. Any APC shown here is an indicative OpenAlex value—verify current charges on the journal's official website.
OpenAlex classifies Bruno Pini Mathematical Analysis Seminar's papers in subfields including Applied Mathematics. Read the aims and scope page and a few recent papers close to your topic before you prepare the manuscript.
Article types, word and figure limits, reference style, and the required statements (data availability, ethics, conflicts of interest, author contributions) are set by the journal. Prepare the cover letter and files to match them.
Bruno Pini Mathematical Analysis Seminar homepage ↗Use the submit link in Bruno Pini Mathematical Analysis Seminar's author guidelines; University of Bologna runs the submission site. Every author usually needs an ORCID iD, and the corresponding author needs an account on the submission site.
The journal is fully open access, and OpenAlex has no article processing charge on record. Check the journal website for current fees and waivers.
Bruno Pini Mathematical Analysis Seminar does not publish an acceptance rate.
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See what the report coversBy citation data, Bruno Pini Mathematical Analysis Seminar is in the lowest quartile in Applied Mathematics and ranks #997 of 1,040 Mathematics journals by Journal Metrics Score (top 96%). A Q4 placement means its papers are cited less than most in the subfield; on its own it does not mean the journal is predatory or that its peer review is weak. Bruno Pini Mathematical Analysis Seminar's 2026 Journal Metrics Score is 0.0. OpenAlex classifies its papers in subfields including Applied Mathematics, so check that your topic fits its scope.
We have not found an official acceptance rate published by Bruno Pini Mathematical Analysis Seminar or its publisher, and Journal Metrics does not estimate one because submission counts are not public. To judge selectivity, compare Bruno Pini Mathematical Analysis Seminar's quartile and score with similar journals, or ask the editorial office.
Submit online through the link in Bruno Pini Mathematical Analysis Seminar's author guidelines on the journal homepage. Before submitting, check the scope, follow the author guidelines for article type, length, and required statements, and prepare a cover letter.
Papers Bruno Pini Mathematical Analysis Seminar published each year, and citations its papers received in that year, from OpenAlex. 2026 counts run to the August 2026 data snapshot.