Epj Data Science's 2026 Journal Metrics Score is 3.8, ranking Q1 in Statistical and Nonlinear Physics and 1 other subfield. Two-year citation average from OpenAlex data, updated August 2026.
Bookmark this page — track observed submission-to-acceptance timing, FWCI and field-normalized citation data for this journal in one view.
Journal Metrics Score 2026 · 2021–2024 window citedness 3.93.
Not available — there are not enough recent PubMed records with both received and accepted dates.
Journal-level estimate only. Verify current charges, taxes, waivers, discounts, and article-type fees with the journal.
Paste your title to see which of this journal's published topics it overlaps with. Your title stays in your browser for this preview and is not sent anywhere.
Want ranked journals with fit reasons, risks and a submission strategy instead? See a sample AI report.
Each spoke is a 0–100 percentile within a comparable journal cohort—not a percentage grade or a single black-box rating.
107 of 257 works · same type, year & subfield
8 works · same type, year & subfield
Above field-year expectation
of 1,556 topic-associated OpenAlex sources by lifetime output
FWCI compares papers with the same publication year, type, and field. 1.0 is the world average; above 1.0 is above expectation. This journal's median is 2.00, so its typical recent paper runs about 100% above its field benchmark.
41.6% of recent papers rank in the global top 10% after field normalization. This is easier to compare across specialties than raw citation totals.
Volume is separated from citation accumulation so newer papers are not presented as weaker simply because they are newer.
OpenAlex source records · 2016–2025
257 OpenAlex works · 2021–2024
OpenAlex topics show the research communities this journal serves.
Candidates share at least one OpenAlex subfield (or field, if too few do) with this journal's main research topics, ignoring generic catch-all topics, and are ordered by topic overlap, then current Journal Metrics Score.
* Cost is indicative only. APCs, taxes, waivers, and member discounts can change—always verify on the journal's official website.
| Category | Quartile |
|---|---|
| Statistical and Nonlinear Physics | Q1 |
| Transportation | Q2 |
| Sociology and Political Science | Q1 |
Yes. A Q1 journal by citation data
Yes. By citation data, Epj Data Science is a strong journal: it is Q1 in Statistical and Nonlinear Physics and 1 other subfield and ranks #156 of 886 Physics & Astronomy journals by Journal Metrics Score (top 18%). Epj Data Science's 2026 Journal Metrics Score is 3.8. OpenAlex lists an indicative article processing charge of $1,890 USD. OpenAlex classifies its papers in subfields including Statistical and Nonlinear Physics, Transportation, and Sociology and Political Science, 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.
Confirm the exact title and ISSNs against the publisher homepage before a high-stakes submission decision.
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 Epj Data Science's papers in subfields including Statistical and Nonlinear Physics, Transportation, and Sociology and Political Science. 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.
Epj Data Science homepage ↗Use the submit link in Epj Data Science's author guidelines; Springer Nature runs the submission site. Every author usually needs an ORCID iD, and the corresponding author needs an account on the submission site.
OpenAlex lists an indicative article processing charge of $1,890 USD for this open-access journal. Check the current fee, waivers, and any institutional agreement on the journal website.
Epj Data Science does not publish an acceptance rate.
Reviewer Two · coming soon
An AI pre-submission report on your manuscript: the objections a tough reviewer is likely to raise, desk-rejection risks, and better-fit journals from our data. $29 per report.
See what the report coversYes. By citation data, Epj Data Science is a strong journal: it is Q1 in Statistical and Nonlinear Physics and 1 other subfield and ranks #156 of 886 Physics & Astronomy journals by Journal Metrics Score (top 18%). Epj Data Science's 2026 Journal Metrics Score is 3.8. OpenAlex lists an indicative article processing charge of $1,890 USD. OpenAlex classifies its papers in subfields including Statistical and Nonlinear Physics, Transportation, and Sociology and Political Science, so check that your topic fits its scope.
Epj Data Science's 2026 Journal Metrics Score is 3.8, from the August 2026 data release. The score is a two-year citation average 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.
We have not found an official acceptance rate published by Epj Data Science or its publisher, and Journal Metrics does not estimate one because submission counts are not public. To judge selectivity, compare Epj Data Science's quartile and score with similar journals, or ask the editorial office.
Epj Data Science's best quartile is Q1. By OpenAlex subfield: Q1 in Statistical and Nonlinear Physics; Q2 in Transportation; Q1 in Sociology and Political Science. Quartiles rank journals by Journal Metrics Score within each subfield.
No. Journal Metrics computes the score independently from OpenAlex open data. Other providers use different citation databases, document types, and counting rules, so their published figures for Epj Data Science will not match this score exactly. Compare journals using one source at a time.
OpenAlex lists an indicative article processing charge of $1,890 USD for Epj Data Science. This journal-level estimate may exclude taxes, waivers, discounts, or article-type fees, so confirm the current charge on the journal's website.
Comparable journals include Online Social Networks and Media, Social Network Analysis and Mining, Journal of Computational Social Science, and Journal of Computer-Mediated Communication. Compare their scores, acceptance times, and costs in the recommended alternatives on this page before choosing where to submit.
Submit online through the link in Epj Data Science'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.