Why PubGo?

Traditional journal finder tools rely on keyword matching. PubGo uses advanced ML to understand what your research is actually about.

The Core Difference

How PubGo compares to traditional keyword-based matching.

Matching Method

Keyword overlap

Deep semantic understanding of field and context

Data Source

Stated scope

Analysis of actual published manuscripts

Coverage

Single publisher

Thousands of independent OA journals

Specialization

One-size-fits-all

Field-specific models for every specialty

Nuance

Words only

Understands field context and sub-specialty subtleties

Key Advantages

Better Relevance

By understanding meaning rather than just words PubGo finds journals that truly match your research, even if you don't use the exact same terminology.

Data-Driven Decisions

Recommendations are based on where similar research actually gets published not just what journals claim in their scope statements.

Specialty Expertise

Each medical specialty has its own trained model. A cardiology paper is matched differently than a surgery paper, with models that understand each field.

Broad Journal Coverage

Not limited to a single publisher. PubGo searches across thousands of open-access journals to find your best options.

A Deep Example

Imagine you wrote a retrospective cohort study investigating the long-term impact of SGLT2 inhibitors on major adverse cardiovascular events in elderly diabetic patients with multiple comorbidities, and found novel results regarding renal protection.

Keyword Matcher

Simply scans for "cardiovascular" or "diabetes" in journal scopes. It suggests the biggest general cardiology journals where admission is extremely difficult, missing high-impact specialized journals that focus on the intersection of endocrine and renal outcomes.

The PubGo Way

Understands the clinical nuance of the study population and methodology. It identifies where papers with similar patient populations and outcomes were actually published, surfacing modern interdisciplinary journals where your specific novelty is most likely to be valued.

What We Don't Claim

  • We don't guarantee acceptance at any journal
  • We can't predict reviewer decisions
  • We're not a replacement for reading journal guidelines
  • Our recommendations are a starting point not a final answer

See the Numbers

We publish our accuracy metrics openly. See how PubGo performs across different specialties.

View performance metrics →

Experience the difference

Try PubGo free and see how semantic matching compares to keyword search.

Try PubGo Free