GapMap Research Studio

For systematic & scoping review researchers

Map the gaps in your own literature — without your corpus leaving your desk.

Import records you already exported from Scopus, Web of Science, JSTOR and similar databases as CSV, RIS, BibTeX or XLSX. Screen them study by study, extract study characteristics with the evidence behind each field, and arrive at defensible, evidence-backed research gaps — on a Windows desktop, with your project data staying on your machine.

Download for WindowsCompare licences
  • Runs locally
  • Data stays on your PC
  • Windows 10/11
  • 14-day trial available
Research Gap Engine — ranked candidate gaps with the evidence behind each one
Bring your own corpus — accepted exports:
  • Scopus CSV
  • Web of Science CSV
  • RIS
  • BibTeX
  • XLSX
  • generic CSV

Start where you are

Three ways into the same evidence base

Whether you are still assembling a corpus, mid-screening, or writing up the gap you want to defend, GapMap picks up from the stage you are actually at.

Bring your own corpus

Export the records you already selected as Scopus CSV, Web of Science CSV, RIS, BibTeX or XLSX. GapMap detects the format, previews what it parsed, and lets you confirm before anything is committed.

See the import steps

Screen, then extract with provenance

Decide on each study from its title and abstract with a PRISMA-style audit trail, then let the local extraction workflow fill study characteristics — each field carrying its own confidence and the evidence it matched. Local AI runtime included. Download or select a compatible local model inside GapMap.

See what the Windows version does

Map gaps and create figures

Candidate research gaps are ranked from your own evidence matrices, with usable-evidence counts, variable patterns, cluster detail and gap rationale you can inspect. Turn the strongest explanations into publication-ready figures for a proposal, chapter or paper.

Trial and licence details

Why GapMap is different

Built around your corpus, not a platform database

Your corpus, not a platform corpus

GapMap is built for researchers who already made search and inclusion decisions. Instead of relying on a platform-owned corpus, you import the Scopus, Web of Science, JSTOR-style RIS/CSV or other export you selected and analyze that evidence base.

Explainable maps, not a generic gap list

Citation-map tools, bibliometric/network tools, code/R-based science mapping workflows and cloud AI literature assistants often stop at structure or suggestions. GapMap shows which studies form each cluster, why they group together, which variables they use, and what gap rationale is actually supported.

Local-first, no coding required

GapMap is a Windows desktop workflow, not a code notebook: no R, Python or coding is required. Your corpus, extraction, notes, methodology and writing style stay on your machine, are not used to train external AI models, and AI-assisted extraction runs locally after in-app model setup.

The problem

Literature review tooling wasn't built for this

  • Platform-corpus tools can lock you out of the records you actually selected.
  • Citation-map and bibliometric/network tools show structure, but not enough gap rationale.
  • Code/R-based science mapping workflows are powerful, but many researchers need a no-code desktop workflow.
  • Manual screening across hundreds of records is slow and error-prone.
  • Extraction ends up scattered across ad hoc spreadsheets and notes.
  • “Gap in the literature” claims are hard to defend without evidence attached.

How it works

From corpus to defensible research gaps

1

Import your export

Bring in Scopus CSV, Web of Science CSV, RIS, BibTeX or XLSX records, with a column-mapping wizard for messy CSV exports.

2

Screen

Work through titles and abstracts in the screening dashboard, with inclusion and exclusion criteria you control.

3

Extract with provenance

Parsers and lexicons fill study characteristics first. Local AI runtime included. Download or select a compatible local model inside GapMap, then review each field's confidence and evidence snippet.

4

Analyze

Metadata completeness, method families and debates are computed from included studies only.

5

Map gaps

Candidate research gaps are surfaced across geography, theory, methodology, population/sample, measurement and sector/context rationales, then visualized so you can explain why the study is worth undertaking.

6

Export

Raw CSV, PNG and SVG exports are available on the trial; PDF, DOCX and XLSX exports unlock with a licence.

Inside the app

The tools researchers use most

Eight screens carry almost every review project, from the first export to the figure that goes in the manuscript.

  • Import corpus

    Scopus CSV, Web of Science CSV, RIS, BibTeX and XLSX, with a column-mapping wizard for messy CSV exports.

  • Study Explorer

    Every record with its extracted methods, population, sector, geography and theory — and the certainty behind each.

  • Screening

    Include, exclude or flag one study at a time, with reasons recorded and PRISMA-style counts kept live.

  • Local AI extraction

    Local AI runtime included. Download or select a compatible local model inside GapMap, then run AI-assisted extraction on your own machine to fill what the deterministic parsers left empty.

  • Variable figures

    See which variables previous studies used, how they were modelled, and which IV-DV, mediator, moderator and co-occurrence relationships your records support.

  • Corpus-level examination

    Transparent semantic clusters, debate mapping and field-level coverage so you can inspect which studies form each cluster and why.

  • Gap analysis

    Ranked candidate gaps with rationale across geography, theory, methodology, population/sample, measurement and sector/context.

  • Export

    CSV tables and PNG/SVG figures on the trial; PDF, DOCX and XLSX reports once a licence is active.

Real screens

See the workflow, not a mockup

Every image below is a capture of GapMap Research Studio running a real project built from a researcher’s own Scopus export.

Study Explorer — every extracted field, per study, with extraction certainty shown
Data Quality — coverage and confidence per field, so you verify before you trust
Topic Mapping — semantic clusters across the corpus by size and recency
Variable Network — only relationships your records actually support are drawn
Figure Studio — publication-ready figures with captions, DPI and print styling
Export Center — CSV always; PDF, DOCX and XLSX with a licence
Windows
10 and 11 desktop app
14 days
Trial access window
50
Records per trial project
7
Import formats accepted
Local
Storage and configured AI on your machine

Trust & transparency

Local-first, honestly documented research software

Local-first by architecture

Imported records, screening decisions and extraction results are processed on your machine as part of normal desktop use.

Documented limitations

Where the workflow has limits, they are written down — see the Windows version page before planning a deadline-critical project around it.

No fake reviews

We'd rather show you the actual software than invent testimonials.

Who builds this

Built for research work, and labelled honestly

GapMap Research Studio is developed by Muhammad Rizwan Hussain as research software for systematic and scoping review work. It is citable software with public author details available for researcher due diligence.

Known limitations are written down rather than hidden, the gap engine reports usable-evidence counts alongside every candidate gap, and nothing in the app claims a gap is novel — that judgement stays with the researcher.

Built for systematic review researchers, scoping review teams, PhD students and supervisors, research labs, and academic consultants.

View the public LinkedIn profile

Cite GapMap Research Studio

@software{hussain_gapmap_research_studio,
  author  = {Hussain, Muhammad Rizwan},
  title   = {GapMap Research Studio},
  version = {0.5.0-beta},
  date    = {2026-08-05},
  url     = {https://gapmapresearch.com}
}

Trial & licensing

Start with the trial, unlock full exports with a paid licence

Start on the 14-day trial, then move to a lifetime licence or annual subscription for one Windows device when you need unlimited records and PDF, DOCX and XLSX exports. Each licence is delivered as one signed, device-bound offline .gapmaplic file.

Lifetime Licence

Lifetime Licence: $49.99 one-time, normally $199.99, limited-time offer, one Windows device.

Buy lifetime licence

Annual Subscription

Annual Subscription: $19.99 per year recurring, normally $39.99, limited-time offer, one Windows device.

Buy annual subscription
Trial vs. licensed capabilities
Capability14-day trialLicensed
Access window14 daysLifetime or annual access
Device allowanceTrial machineOne Windows device
Records per projectUp to 50Unlimited
Screening & local extraction workflowIncludedIncluded
Included-only analysis & gap mappingIncludedIncluded
CSV, PNG, SVG exportIncludedIncluded
PDF, DOCX, XLSX exportNot availableIncluded
Start 14-day trialView pricing

FAQ

Questions researchers ask first

Who owns and controls my corpus?

You do. GapMap works from records you export yourself — Scopus CSV, Web of Science CSV, RIS, BibTeX or XLSX. Records from other sources such as JSTOR import once you save them as RIS or CSV. There is no platform-owned corpus you are limited to.

Does the AI run offline, and where does it run?

On your own Windows machine. Screening is a manual decision per study, and the first extraction pass is deterministic — parsers and lexicons, no model required. Local AI runtime included. Download or select a compatible local model inside GapMap. After that setup, extraction runs on your computer with no account or API key; a one-time model download needs internet unless you select a compatible model you already have. Project data is not uploaded or used to train external AI models.

Is GapMap suitable for GDPR-sensitive research?

GapMap is designed to support privacy- and GDPR-sensitive workflows by keeping project data on your computer. It is not a substitute for your own institutional data-handling review.

What exactly does the trial limit?

The trial runs for 14 days and is capped at 50 records per project. Screening, extraction (including local AI-assisted extraction once configured), analysis and CSV/PNG/SVG export are all available on the trial; PDF, DOCX and XLSX export require a paid licence for one Windows device.

Is GapMap available for Mac?

Not yet. GapMap Research Studio is a Windows 10 and 11 desktop application today.

How do I activate a paid licence?

A paid licence for one Windows device is delivered as an offline, signed, device-bound .gapmaplic file. Open the activation screen in GapMap and select the file — see the activation guide for the full steps.

How do I cite GapMap Research Studio?

A ready-to-copy citation is provided in the trust section above, using the software name, author, version and website domain.

Does GapMap guarantee my research gap is novel?

No. GapMap surfaces candidate research gaps that require researcher review — it supports, but does not replace, scholarly judgment.

Windows 10 & 11 desktop app

Ready to map the gaps in your own literature?

Windows 10/11 · 14-day trial · up to 50 records per project

Download for WindowsRead the quick-start guide