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Publishing in Expert Systems with Applications: Fit, Timeline & Submission Guide

Elsevier's broad applied expert and intelligent systems journal

Should you submit here?

IF 9.4 · 11% accepted · 5 days to first decisionLast reviewed Oct 21, 20264 official · 0 estimated · 0 unverified signals

Best fit if

ESWA fit is strongest when the manuscript shows how the intelligent system improves a real decision, workflow, or domain problem

Not ideal if

Pure method novelty without application substance can fit TPAMI, JMLR, Pattern Recognition, or another methods venue better than ESWA

Also compare

IEEE TPAMIand RNA

9.4

Impact Factor

11%

Acceptance Rate

5 days

Time to First Decision

Elsevier journal catalog · checked 2026-10-21 · Publisher-reported overall acceptance rate, not a manuscript-specific probability or a desk-rejection share.The catalog does not specify the reporting period, submission count or article-type coverage. The observation date is not a metric year.

Elsevier journal catalog · checked 2026-10-21 · Submission to the first editorial decision, including initial editorial decisions; not completed external peer review.The catalog does not specify the reporting period, submission count or article-type coverage. The observation date is not a metric year.

Expert Systems with Applications Journal Insights (ScienceDirect) · checked 2026-10-21 · 2025 Journal Impact Factor; the source tooltip identifies Journal Citation Reports, Clarivate Analytics, 2026.The metric year is 2025; the release year is 2026.

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What ESWA Publishes

Expert Systems with Applications publishes original work on expert and intelligent systems applied to real settings in industry, government, universities, and applied research domains. The journal is broad, but the strongest submissions make the application context real, compare against current baselines, and show practical consequence rather than only model performance.

  • Expert and intelligent systems for finance, engineering, medicine, energy, information retrieval, production management, risk assessment, and other applied settings
  • Applied machine learning, knowledge discovery, data mining, neural networks, knowledge management, and decision-support systems
  • Application-driven AI papers where the domain validation is substantive enough for ESWA rather than a pure-methods venue
  • Software, systems, and intelligent workflow contributions when the implementation and evaluation are useful beyond one toy example

Manusights editorial analysis

The ESWA question is not whether the model works on a benchmark. It is whether the intelligent system has enough application substance, comparison fairness, and practical consequence to belong in a broad applied-AI journal.

What ESWA Editors Look For

Real application substance

ESWA fit is strongest when the manuscript shows how the intelligent system improves a real decision, workflow, or domain problem. A generic benchmark table is usually not enough.

Current and fair comparison

Reviewers expect baselines that represent the present field, not only older algorithms selected because the new model wins.

Contribution beyond an algorithm label

The journal discourages weak metaphor-driven algorithm papers. If the submission uses an inspired optimizer or renamed method, the actual technical and applied contribution must be clear.

Reusable and trustworthy evidence

Data, code, model settings, evaluation splits, and domain constraints should be clear enough for reviewers to trust the practical claim.

Why Papers Get Rejected

These patterns appear repeatedly in manuscripts that don't make it past ESWA's editorial review:

Submitting a pure-methods AI paper to ESWA

Pure method novelty without application substance can fit TPAMI, JMLR, Pattern Recognition, or another methods venue better than ESWA.

Treating application context as decoration

ESWA is an applications journal. The domain problem, validation setting, and practical consequence should shape the paper, not just appear in the introduction.

Using outdated or selective baselines

Applied-AI reviewers often challenge benchmark choices first. Missing current baselines can make the result look overstated.

Relying on a metaphor-inspired algorithm name

ESWA explicitly discourages weak repurposed metaphor algorithms. The contribution must stand without the metaphor.

Does your manuscript avoid these patterns?

The Free Readiness Scan reads your full manuscript against ESWA's criteria and flags the specific issues most likely to cause rejection.

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Manusights submission tips for ESWA

Lead with the application decision the system improves

Editors need to see why the work belongs in an applications journal. The title, abstract, and first figure should make the practical contribution legible.

Use the cover letter to explain venue routing

If the work could fit KBS, EAAI, Applied Soft Computing, Pattern Recognition, or TPAMI, explain why ESWA is the most honest home.

Show limitations before reviewers find them

A narrow deployment setting, small dataset, or domain-specific constraint can be acceptable if the paper states the boundary honestly.

The ESWA Submission Process

1

Confirm ESWA fit

Pre-submission

Decide whether the manuscript is truly applied expert or intelligent systems work rather than a pure ML method, engineering application, soft-computing method, or domain-specialist paper.

2

Prepare the Elsevier package

Preparation

Prepare the manuscript, highlights, declarations, data availability information, and any code or supplementary files. Check whether anonymized review files are required.

3

Submit through Elsevier Editorial Manager

Day 0

Upload through the ScienceDirect submission flow with author metadata, cover letter, manuscript files, highlights, declarations, and supplementary material.

4

Editorial and reviewer screen

Reviewer-dependent

Editors and reviewers assess application substance, method rigor, comparison fairness, reproducibility, and whether the paper fits ESWA better than adjacent AI venues.

ESWA by the Numbers

PublisherElsevier
Impact Factor(Expert Systems with Applications Journal Insights (ScienceDirect); checked 2026-10-21. The metric year is 2025; the release year is 2026.)9.4
CiteScore(Expert Systems with Applications Journal Insights (ScienceDirect); checked 2026-10-21. No reporting period is shown for this displayed observation. Workflow timings are aggregates rather than deadlines; the statistic remains unspecified unless its definition was separately read.)17
Submission to first decision(Elsevier journal catalog; checked 2026-10-21. The catalog does not specify the reporting period, submission count or article-type coverage. The observation date is not a metric year.)5 days
Submission to decision after review(Expert Systems with Applications Journal Insights (ScienceDirect); checked 2026-10-21. No reporting period is shown for this displayed observation. Workflow timings are aggregates rather than deadlines; the statistic remains unspecified unless its definition was separately read.)62 days
Submission to acceptance(Expert Systems with Applications Journal Insights (ScienceDirect); checked 2026-10-21. No reporting period is shown for this displayed observation. Workflow timings are aggregates rather than deadlines; the statistic remains unspecified unless its definition was separately read.)147 days
Acceptance to online publication(Expert Systems with Applications Journal Insights (ScienceDirect); checked 2026-10-21. No reporting period is shown for this displayed observation. Workflow timings are aggregates rather than deadlines; the statistic remains unspecified unless its definition was separately read.)7 days
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Before you submit

ESWA accepts a small fraction of submissions. Make your attempt count.

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Article Types

Original Research Article

Follow current Elsevier guide

Full applied expert or intelligent systems paper with real application evidence and method detail.

Review Article

Follow current Elsevier guide

Synthesis of an applied intelligent-systems area when the review adds a clear analytical framework.

Short Communication

Follow current Elsevier guide

Focused contribution when the scope and evidence support a shorter article.

Position or Editorial

Follow current Elsevier guide

Usually editorially shaped article types rather than the default route for original research.

Landmark ESWA Papers

Papers that defined fields and changed science:

  • Applied expert-system papers that tied model performance to real domain decisions
  • Knowledge-discovery and data-mining papers with reusable validation designs
  • Decision-support systems that made the application workflow part of the contribution
  • Applied AI papers whose baselines and limitation analysis stayed useful after publication

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Primary Fields

Applied Artificial IntelligenceExpert SystemsDecision SupportMachine Learning ApplicationsKnowledge DiscoveryData MiningApplied Intelligent Systems