Measurement Journal Submission Guide: How to Submit to Measurement (Elsevier/IMEKO)

Measurement publishes full-length research articles, Review Articles (usually specially commissioned), and Technical Notes, which are short contributions for rapid publication of important new results. The format you choose follows the shape of the contribution.

Research articles have no fixed page or word limit. Length is governed by completeness and clarity rather than a hard cap, which means an over-long article is judged on whether every section earns its space. In practice, a tightly argued measurement-science paper is often well under 8,000 words; the discipline is to cut, not to pad.

Technical Notes are the format for a focused, self-contained contribution, such as a calibration procedure, an uncertainty-evaluation method, or an instrument improvement, that does not need the full apparatus of a research article.

Review Articles are generally commissioned, so an unsolicited review is best preceded by a brief inquiry rather than a cold submission.

At submission the journal expects highlights (three to five short bullet points capturing the contribution), a data availability statement, a conflicts of interest declaration, and author contributions mapped to CRediT roles such as Conceptualization, Methodology, Investigation, and Writing. ORCID iDs for the authors and, where human or animal subjects are involved, an ethics approval statement are also expected, and naming suggested reviewers is optional but welcome. A graphical abstract is encouraged.

Manuscripts that are unclear because of English-language quality can be returned for rewrite before review, so the language bar is enforced at triage, not deferred.

Before the format and declarations are locked, a Measurement uncertainty-and-readiness check can confirm whether your uncertainty analysis, traceability statements, and metrology framing clear the bar this journal applies before peer review.

Measurement assigns submissions to a handling editor who manages them through Editorial Manager. Elsevier's own journal metrics report a first-decision median near six days, a decision-after-review near 54 days, and acceptance near 114 days. Treat the stages below as planning ranges, not commitments.

• Day 0: Submission and PDF build. Editorial Manager ingests your files and builds a merged PDF. You proof it, confirm the highlights, data availability statement, and declarations, and submit. A non-blinded manuscript is flagged here.

• Days 1 to 6: Editorial screening. The handling editor checks scope fit, measurement-science contribution, the presence of an uncertainty analysis, language quality, and completeness.

The fastest returns happen in this window: applications with no metrology advance, papers with no uncertainty budget, and out-of-scope work rarely reach a reviewer. Elsevier's reported six-day first-decision median is dominated by these desk returns.

• Days 6 to 21: Reviewer assignment. For manuscripts that pass the desk, the editor invites reviewers in the relevant measurement or instrumentation area.

Double-anonymized invitations take longer to fill than single-blind ones, so a few weeks here is normal.

• Days 21 to 54: Peer review. Reports return, typically two or more, on a multi-week cadence. Reviewers in measurement science weigh the uncertainty treatment and the novelty of the metrology contribution heavily, not just whether the system works.

• Weeks 8 to 14: Decision and revision. Reject, major revision, minor revision, or accept.

A revised manuscript must be accompanied by a response letter addressing each reviewer point. Most papers that pass review go through at least one major-revision round.

• Months 3 to 4: Final decision and production. Acceptance runs near 114 days from submission per Elsevier's metrics, with faster outcomes for clean Technical Notes and slower ones for multi-round research articles.

In our pre-submission review work with Measurement manuscripts, four patterns generate the most consistent early returns. None of them are about the engineering being wrong. They are about whether the work is measurement science at all, and whether its numbers are defensible the way this journal requires.

In our review of instrumentation and metrology manuscripts, each of these is a named rejection pattern you can check your own draft against, and each reflects how handling editors at this journal read submissions before review. The double-anonymized model raises the stakes on every one, because the editor reads the contribution on its own terms, with no author reputation to lean on. Editors consistently screen for these before sending a manuscript out for review.

Measurement's guide for authors and Elsevier's editorial policies define the mechanics below; the patterns describe how manuscripts coming through pre-submission review for this journal most often fall short of them. Of the instrumentation and metrology manuscripts coming through our pre-submission review for this journal, the uncertainty-budget gap and the no-measurement-advance gap together account for most of the early returns we flag.

That is consistent with the journal's reported acceptance rate near 19% (Elsevier journal metrics) and its six-day median to first decision: most attrition happens at the editorial screen, before reviewers ever weigh in, and these four patterns are why.

A sensor or system application with no measurement-science advance. This is the single most common stall we see for Measurement. The manuscript builds a working device, deploys it on a real problem, and reports that it works, but the contribution is the application, not measurement science.

A gas sensor characterized on a new analyte, a wearable that tracks a new signal, an inspection rig applied to a new material: each can be solid engineering and still be the wrong paper for this journal. The handling editor reads the abstract and asks what is new for measurement, and when the answer is "we used a known measurement on a new target," the manuscript reads as an application study.

Measurement wants the measurement itself to be the protagonist: a new technique, a better uncertainty model, a calibration or traceability advance, or a measurement-systems contribution. Papers where the flow is "here is our device, here is where we applied it" are consistently identified as scope mismatches.

Check whether your Measurement manuscript states a real measurement-science contribution →

Reported quantities with missing or hand-waved uncertainty. On the metrology side, the parallel failure is a result reported without a defensible uncertainty budget. The paper presents values, curves, or detection limits, but the uncertainty is absent, given as a single unexplained number, or confused with instrument resolution or repeatability.

Reviewers at Measurement treat uncertainty quantification as part of the result, not an appendix to it, so a measurement with no uncertainty propagation, no traceability statement, and no calibration description reads as incomplete. The methods section is where this is decided: if a reader cannot reconstruct how the stated uncertainty was derived, following the GUM framework the journal points authors to, the manuscript is not yet ready regardless of how clean the data look.

A figure with error bars whose origin is never explained is a specific, checkable version of this pattern.

Check if your Measurement methods report a GUM-grade uncertainty budget →

Scope drift into pure signal processing or pure application. Measurement sits at the intersection of instrumentation, metrology, and measurement systems, and a recurring desk return is a manuscript that has drifted to one side of that intersection and out of scope. On one side, a paper that is really a machine-learning or signal-processing method, validated on a measurement dataset but with no measurement-science claim, belongs in a signal-processing or computational venue.

On the other side, a paper that is purely about an application domain, with the measurement reduced to a tool, belongs in that domain's journal. The introduction usually reveals the drift: when the critical review cites mostly algorithm papers or mostly application papers rather than the instrumentation and measurement literature, the editor sees a manuscript whose center of gravity is elsewhere.

The fix is to anchor the contribution in measurement science explicitly, not to bolt a measurement paragraph onto a paper about something else.

Check whether your Measurement manuscript stays inside the journal's scope →

A missing or thin critical review of the state of the art. Measurement explicitly asks that every paper describe its measurement context through a critical review of the relevant body of knowledge, and a thin introduction is a fast return. The pattern is an introduction that lists a few recent papers, asserts a gap, and moves on, without actually positioning the work against the measurement-science state of the art.

Because the journal makes this an editorial expectation rather than a nicety, an introduction that reads as a literature dump or a generic motivation paragraph signals that the authors have not located their contribution in the field. The handling editor uses this section to judge whether the authors know what counts as new in measurement, and a weak one undercuts even a genuine advance buried later in the paper.

This guide tells you what Measurement editors look for; a Manusights review tells you whether YOUR paper passes that screen. A Manusights review checks the measurement-science claim, the uncertainty budget, the traceability and calibration statements, the scope framing, and the state-of-the-art review against the editorial bar this journal applies before peer review. Paid Manusights reviews include a 60-day money-back guarantee, and we do not train models on submitted manuscripts.

Before submitting, a Measurement metrology-and-scope readiness check tests whether your measurement-science contribution, uncertainty analysis, and scope framing clear the editorial bar this journal applies before peer review.

This guide was built from Measurement's guide for authors, Elsevier's editorial policies and journal metrics, the Editorial Manager submission system, the IMEKO scope statement, and Manusights pre-submission review patterns from instrumentation and metrology manuscripts.

We checked the article types, the double-anonymized review model, the measurement-context-and-novelty requirement, and the VIM and GUM expectations against the journal's own pages, and we cross-checked review-timing ranges and the acceptance rate against Elsevier's published journal metrics and Clarivate JCR 2024 figures. The failure patterns describe what we see most often when measurement-science manuscripts come through pre-submission review for this journal.

Use this page before you upload, when the official instructions cannot answer the real question: whether your measurement-science contribution, uncertainty analysis, traceability, and scope framing are already defensible. Source limitation: Elsevier updates format details, charges, and policies after this review date, so confirm administrative specifics against the journal's official pages before submission. To pressure-test the manuscript itself, run a Measurement manuscript readiness check.

• Sensors (MDPI) submission and fit guide
• Sensors (MDPI) standing and metrics
• For the broader cluster, see the instrumentation and measurement journals overview.

Before you upload, run your manuscript through a Measurement submission package check to catch the metrology, uncertainty, and scope issues editors filter for on first read. The check is free to run (/ai-review) and takes a single upload.