How to find the Publication Time of a Journal: From Submission to Acceptance

TL;DR

Treat “journal publication time” as the submission-to-final-acceptance interval, not the later issue publication date.

Briefing Cornell Notes

Briefing

Journal “publication time” is best understood as the elapsed period from manuscript submission to final acceptance—not the eventual issue date—and there’s no single way to know the exact timeline for a specific paper because processing speed depends on multiple factors outside journal control. What researchers can do instead is estimate a journal’s typical turnaround by calculating the time spans reported on individual articles, then averaging across several recent submissions.

When a journal doesn’t publish processing-time statistics on its website, the practical workaround is to pull a small sample of articles from the journal’s latest issues. For each selected article, the first page usually lists key dates such as when the manuscript was received, when it was revised or resubmitted, and when it was finally accepted. For example, in an article from the Journal of Facilities Management, the first page shows it was received on 14 July 2021, revised on 14 August 2021, and accepted on 1 November 2021. One article can’t represent the journal’s overall behavior, but it provides a concrete data point for the submission-to-acceptance interval.

The same method applies to other journals even when they sit in different indexing platforms. In the Journal of Population Aging (listed in the Springer database), the first page similarly reports the received date and the final acceptance date. Another example is a Human Resource Management journal (described as a four-star business-management journal and listed in the V database), where the first page includes received, revised, and accepted dates. By downloading three to four articles from the most recent issues and extracting these date ranges, researchers can estimate the journal’s average processing time from “received” to “accepted,” and also gauge how revision cycles affect the timeline.

A key caution is that processing speed can vary widely even among journals within the same database or publisher family. The transcript gives a contrast within Emerald: one journal may take roughly 3–4 months from receipt to acceptance, while another in the same Emerald ecosystem can take at least 1–2 years on average. That means researchers should not rely on database-level generalizations; they should compute estimates using the specific journal’s own recent articles.

Overall, the most reliable approach when processing-time metrics aren’t published is a small, journal-specific sampling of recent papers, using the standardized “received/revised/accepted” dates printed on article front pages to build an evidence-based estimate of typical turnaround time.

Cornell Notes

When journals don’t publish processing-time statistics, researchers can estimate a journal’s typical submission-to-acceptance timeline by sampling recent articles. Each article’s first page often lists “received,” “revised/resubmitted,” and “accepted” dates, letting readers compute the interval from receipt to final acceptance. Downloading three to four articles from the last few issues provides enough data to approximate an average turnaround for that specific journal. This matters because processing speed can differ dramatically even between journals in the same database (e.g., Emerald journals can range from a few months to 1–2 years).

Why can’t a researcher know the exact publication time for a specific submission?

The timeline from submission to final acceptance depends on multiple factors, including editorial handling and review progress, and not all of those factors are controlled by journal management. Because of that variability, exact prediction for one paper isn’t possible; the best option is estimating typical turnaround using historical data.

What’s the most practical method to estimate a journal’s average processing time when no statistics are posted?

Download three to four articles from the journal’s most recent issues and extract the dates shown on each article’s first page—typically “received,” “revised/resubmitted,” and “accepted.” Compute the time from received to accepted for each article, then average those intervals to estimate the journal’s typical processing time.

How do the examples illustrate the date-based calculation approach?

In the Journal of Facilities Management example, the first page lists received on 14 July 2021, revised on 14 August 2021, and accepted on 1 November 2021. In the Journal of Population Aging (Springer listing), the first page provides received and final accepted dates. In the Human Resource Management journal (V listing), the first page includes received, revised, and accepted dates—enabling the same receipt-to-acceptance interval calculation across multiple papers.

Why is sampling multiple articles necessary instead of relying on a single paper?

One article provides only a single data point and may reflect an outlier case (fast or slow review). Sampling several recent articles (three to four) reduces the impact of anomalies and yields a more representative estimate of the journal’s typical turnaround.

How can journals within the same database still have very different processing times?

Even within the same database ecosystem, journals can operate at different speeds. The transcript contrasts Emerald journals: one may take about 3–4 months from receipt to acceptance, while another may take at least 1–2 years on average. That’s why the estimate must be journal-specific, not database-wide.

Review Questions

If a journal doesn’t list processing times on its website, what specific dates should you look for on each article’s first page to estimate turnaround time?
How would you compute an estimated average processing time from a set of three to four sampled articles?
What evidence in the transcript shows that database-level expectations can be misleading?

Key Points

1
Treat “journal publication time” as the submission-to-final-acceptance interval, not the later issue publication date.
2
When no processing-time statistics are posted, estimate turnaround by sampling three to four recent articles from the target journal.
3
Extract “received,” “revised/resubmitted,” and “accepted” dates from each article’s first page to calculate receipt-to-acceptance time.
4
Average the receipt-to-acceptance intervals across the sampled articles to approximate the journal’s typical processing speed.
5
Do not assume journals in the same database have similar timelines; processing speed can vary drastically between individual journals.
6
Use recent issues for sampling because editorial workflows and review practices can change over time.

Highlights

A workable estimate comes from pulling 3–4 recent articles and using the “received” and “accepted” dates printed on their first pages.

One paper is not enough; multiple articles help smooth out outliers in review and editorial handling.

Even within Emerald, processing times can range from roughly 3–4 months to at least 1–2 years depending on the specific journal.

Topics

Journal Processing Time
Submission to Acceptance
Estimating Turnaround
Article Metadata
Peer Review Timelines

Mentioned

Dr kamran