Average Review Times Across 100 Journals in 2026: What the Tracked Data Shows

Across the 100-journal benchmark set:

The biggest strategic takeaway is simple: the distribution is not centered on "a few weeks." It is centered closer to five to six weeks, with a long slow tail.

This list is not random. Most of these journals are either:

• professional-editor venues
• heavily triaged journals
• both

That is why fast time-to-first-decision should not automatically be read as "reviewers moved fast." Often the editor moved fast.

These journals are different from each other in prestige and field, but they share a common point: a first decision can take months rather than weeks.

The benchmark breaks naturally into three broad speed bands.

1. Rapid triage and fast editorial systems

Under about two weeks.

These journals often combine:

• strong in-house editorial operations
• tight scope filters
• fast desk decisions

2. Moderate first-decision environments

About two to eight weeks.

This is where many journals live. It is often long enough to include meaningful editor handling and reviewer recruitment, but not so long that the paper disappears into a deep queue immediately.

3. Slow-queue journals

Sixty days and up.

These journals often rely on:

• harder reviewer recruitment
• longer referee norms
• heavy volume
• academic-editor workflows

The median in this benchmark is 37.5 days.

The mean is 52.4 days.

That gap matters because it shows a long right tail. A meaningful share of journals are much slower than the center of the distribution, and those slow journals drag the average upward.

In practical terms: many authors will experience a first decision in around a month or six weeks, but a large minority of journals still behave more like two- to four-month systems.

This is the main interpretive trap.

A seven-day decision at Nature is not equivalent to a seven-day reviewer turnaround at a mid-tier specialty journal. It is often a fast editorial screen.

That is why you need to read speed together with desk rejection behavior.

For example:

• Nature in the tracked dataset is at 7 days median to first decision and around 70% desk rejection
• Nature Communications is around 9 days to first editorial decision and is also strongly triaged
• Neuron is fast as well, but that speed sits inside a high-selectivity environment

Fast can mean efficient. It can also mean you are being declined faster.

Use it for planning, not wishful thinking.

If speed matters because of deadlines

Prefer journals where:

• the first-decision timeline is genuinely shorter
• the field norm supports faster reviewer recruitment
• the journal does not have an obviously slow queue history

If quality of fit matters more than speed

A slower but better-fit journal may still be the rational choice.

If the paper is fragile or borderline

A fast desk-reject environment may punish overreach quickly. Sometimes that is useful. Sometimes it is an expensive prestige reflex.

It means:

• first-decision time varies much more than authors often assume
• a large share of journals still run on multi-month clocks
• professional-editor systems dominate the fast end

It does not mean:

• every journal reports time the same way
• every first decision reflects the same editorial stage
• a fast journal gives a better overall author experience

The BMJ and several other journals in the tracked set illustrate this ambiguity well. Some first-decision strings clearly blend desk-decision speed with peer-reviewed median timing. That is why the normalization here is useful for comparison but not the final word on any one venue.

If speed genuinely matters, ask two questions before you submit:

1. how fast is the journal's first decision really
2. how much of that speed is just desk triage

Those are not the same question.

This report is most useful when paired with desk rejection rates report 2026, peer review process complete guide, and what happens after your paper is accepted.

And if the paper is still structurally weak, a faster queue will not rescue it. In that situation, the higher-value move is usually a pre-submission Manusights AI Review.

Across this 100-journal benchmark, the median first-decision timeline is 37.5 days, but the average is much slower because the long-delay tail is real.

The fastest journals are usually fast because they run aggressive editorial systems, not because peer review magically became frictionless. The slowest journals reflect the opposite problem: reviewer scarcity, field norms, and heavier queue drag. Use the number, but read the system behind it.

1. apps/web/src/data/journals.ts
2. Nature journal information
3. Nature Communications journal metrics
4. Scientific Reports journal metrics
5. Neuron journal insights
6. ACS Nano about page