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Manuscript Auditing →01Impact factor
Impact factor of Risks (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers Risks published in the two previous years, divided by the number of those papers. That is the same formula as the Journal Impact Factor, applied to the open citation data of OpenAlex. The journal is listed in JCR 2024, so it also has an official Journal Impact Factor published by Clarivate, which can differ because it counts citations from Web of Science journals only.
Rank in its subject categories
- Q2Business, Financerank 81 of 248 journals
Quartiles here rank journals of the same Web of Science category by 2-year citedness; they are not the official JCR quartiles.
Citations and papers per year
Open access (listed in DOAJ); article processing charge listed at about US$2,172.
02Indexing
Indexing of Risks
- eISSN
- 2227-9091
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Country
- Switzerland
- Language
- English
- Scopus source type
- Journal
- Web of Science categories
- Business, Finance
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
03What it publishes
What Risks publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
04Published papers
Papers published in Risks
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Fraud detection in healthcare insurance claims using machine learning. Risks 11, 16020230 citations
- A Novel Implementation of Siamese Type Neural Networks in Predicting Rare Fluctuations in Financial Time Series. Risks 10: 3920220 citations
- Alleviating Class Imbalance in Actuarial Applications Using Generative Adversarial Networks. Risks 9 (3). 4920210 citations
- Mining Actuarial Risk Predictors in Accident Descriptions Using Recurrent Neural Networks. Risks, 9 (1), 720210 citations
05Reviewer comments
Reviewer comments and rejection reasons for Risks
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to Risks, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
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06Similar journals
Journals similar to Risks
Journals that publish the closest work to the papers above, from the indexing lists:
- Measurement: SensorsScopus1 similar paper
- Journal of Theoretical and Applied Information TechnologyScopus1 similar paper
07Journal Finder
Find the right journal for your paper
Is Risks right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,435 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
08Questions
Frequently asked questions
What is the impact factor of Risks?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of Risks is 3.29: papers it published in the two previous years were cited 3.29 times on average in a year. The journal is listed in JCR 2024, so Clarivate also publishes an official Journal Impact Factor, which can differ.
What is the h-index of Risks?
The h-index of Risks is 57 (OpenAlex, October 2026): 57 of its papers have each been cited at least 57 times. Its i10-index is 576.
What is the APC of Risks?
OpenAlex lists an article processing charge (APC) of about US$2,172 for Risks, an open access journal (data from October 2026). APCs change and can differ by article type, country or discounts, so confirm the current charge on the journal’s website before submitting.
Is Risks a Q2 journal?
By 2-year citedness, Risks ranks 81 of 248 journals in Business, Finance, which places it in Q2 of that Web of Science category. This ranking is calculated by ScholarsColab from OpenAlex data; the official JCR quartile can differ.
Is Risks indexed in Scopus?
Yes. Risks appears in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Risks an SCIE journal?
Risks is listed in ESCI of the Web of Science Core Collection, but not in SCIE, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Risks in Journal Citation Reports (JCR)?
Yes. Risks is listed in JCR 2024, so it has a Journal Impact Factor. For the current impact factor and quartile, check Journal Citation Reports.
What topics does Risks publish?
The papers published in Risks that we track most often mention risk, networks, neural, actuarial. Check the journal’s aims and scope for its full coverage.
How many papers published in Risks does ScholarsColab track?
We track 4 papers published in Risks between 2021 and 2023, cited 0 times in total, with a median of 0 citations per paper.
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