For systematic & scoping review researchers
Import records you already exported from Scopus, Web of Science, JSTOR and similar databases as CSV, RIS, BibTeX, XLSX or a Web of Science text export. 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.
Start where you are
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.
Export the records you already selected as Scopus CSV, a Web of Science text or CSV export, RIS, BibTeX or XLSX. GapMap detects the format, previews what it parsed, and lets you confirm before anything is committed.
See the import steps
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-assisted extraction fills what is left once you set up the local model.
See what the Windows version doesCandidate research gaps are ranked from your own evidence matrices, with usable-evidence counts you can inspect. Turn any of it into publication-ready figures for a proposal, chapter or paper.
Trial and licence detailsWhy GapMap is different
Unlike closed-corpus tools, GapMap lets researchers work from their own selected corpus. Import exactly the records you exported and analyze that selection — nothing else.
Screening stays a deliberate, recorded decision per study. Extraction runs inside a customized local workflow built for research review tasks, with confidence and matched evidence attached to each field.
Project data stays on your machine, and any AI-assisted extraction uses a model you install and run locally — nothing is uploaded to train third-party models. Designed to support privacy-conscious and GDPR-sensitive research workflows.
The problem
How it works
Bring in Scopus CSV, Web of Science text or CSV, RIS, BibTeX or XLSX records, with a column-mapping wizard for messy CSV exports.
Work through titles and abstracts in the screening dashboard, with inclusion and exclusion criteria you control.
Parsers and lexicons fill study characteristics first; local AI-assisted extraction fills the rest once configured. Review each field's confidence and evidence snippet.
Metadata completeness, method families and debates are computed from included studies only.
Candidate research gaps are surfaced across a research-gap taxonomy, ranked by support-checked confidence.
Raw CSV, PNG and SVG exports are available on the trial; PDF, DOCX and XLSX exports unlock with a licence.
See it run
Recorded from GapMap Research Studio running on Windows against a researcher-supplied 408-record Scopus CSV corpus. No mockups, no rendered concept art — these are the actual screens. The clip shows the deterministic extraction path; local AI-assisted extraction is a separate step you enable by installing the local model.
Inside the app
Eight screens carry almost every review project, from the first export to the figure that goes in the manuscript.
Scopus CSV, Web of Science text or CSV, RIS, BibTeX and XLSX, with a column-mapping wizard for messy CSV exports.
Every record with its extracted methods, population, sector, geography and theory — and the certainty behind each.
Include, exclude or flag one study at a time, with reasons recorded and PRISMA-style counts kept live.
Once the local model is set up, a research-extraction model runs on your own machine to fill what the deterministic parsers left empty.
Construct co-occurrence, IV–DV, mediator and moderator maps drawn only from relationships your records support.
Semantic topic clusters, debate mapping and field-level coverage so you can see the shape of the evidence base.
Ranked candidate gaps across a gap taxonomy — methodological, contextual, measurement, conceptual and sampling.
CSV tables and PNG/SVG figures on the trial; PDF, DOCX and XLSX reports once a licence is active.
Real screens
Every image below is a capture of GapMap Research Studio running a real project built from a researcher’s own Scopus export.
Trust & transparency
Imported records, screening decisions and extraction results are processed on your machine as part of normal desktop use.
Where the workflow has limits, they are written down — see the Windows version page before planning a deadline-critical project around it.
We'd rather show you the actual software than invent testimonials.
Who builds this
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@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 on the 14-day trial, then move to a full licence when you need unlimited records and PDF, DOCX and XLSX exports. A licence is delivered as an offline .gapmaplic file.
| Capability | 14-day trial | Licensed |
|---|---|---|
| Access window | 14 days | No expiry |
| Records per project | Up to 50 | Unlimited |
| Screening & local extraction workflow | Included | Included |
| Included-only analysis & gap mapping | Included | Included |
| CSV, PNG, SVG export | Included | Included |
| PDF, DOCX, XLSX export | Not available | Included |
FAQ
You do. GapMap works from records you export yourself — Scopus CSV, a Web of Science text or CSV export, 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.
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-assisted extraction is an optional extra pass: you install a research-extraction model once, and it then runs entirely on your computer with no account, API key or internet. Project data is not uploaded to train third-party models.
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.
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.
Not yet. GapMap Research Studio is a Windows 10 and 11 desktop application today.
A paid licence is delivered as an offline .gapmaplic file. Open the activation screen in GapMap and select the file — see the activation guide for the full steps.
A ready-to-copy citation is provided in the trust section above, using the software name, author, version and website domain.
No. GapMap surfaces candidate research gaps that require researcher review — it supports, but does not replace, scholarly judgment.
Windows 10/11 · 14-day trial · up to 50 records per project