How researchers actually use Disha — end-to-end.

Problem

PhD scholar in ML-Healthcare was 6 months behind schedule. Manual screening of 800+ papers across 7 databases was unsustainable with a 9-month thesis deadline.

Solution

Used Disha-ROL to parallel-query 7 databases (Scopus, WoS, IEEE, PubMed, ScienceDirect, Springer, Wiley), auto-screen abstracts, and generate a PRISMA 2020 flow diagram + structured SLR draft.

Workflow

1. 1Defined theme + 4 sub-themes in 15 minutes
2. 2Disha-ROL queried 7 databases simultaneously (4 minutes)
3. 3Auto-screening with inclusion/exclusion criteria
4. 4PRISMA flow + thematic synthesis generated
5. 5Human review + supervisor approval in 2 weeks

Problem

Scholar in sustainable energy systems couldn't finalize the variable structure for thesis chapter 3. Supervisor had rejected 3 drafts over 5 months.

Solution

Used Disha-FramAI to ground the framework in Theory of Planned Behavior + Norm Activation Model, identify 12 variables, generate 18 hypotheses with directional logic, and produce a visual framework diagram.

Workflow

1. 1Entered research area + 3 theoretical lenses
2. 2FramAI generated variable map with construct definitions
3. 3Hypothesis derivation with directional rationale
4. 4Methodology + sampling + instrument proposed
5. 5APA 7 reference list (47 sources)

Problem

Researcher had a finished paper but no clear publishing strategy. Spent 2 months evaluating journals manually with no acceptance prediction.

Solution

Used Disha-Journal Finder to upload the paper, get 10 ranked journal matches with acceptance probability, APC fees, indexing details, and direct submission links.

Workflow

1. 1Pasted full paper into Journal Finder
2. 2AI matched to 10 Q1/Q2 journals in 90 seconds
3. 3Reviewed acceptance probability + scope-fit scores
4. 4Selected top 3 targets with high probability
5. 5Submitted to #1 match (89% acceptance score)

Problem

Faculty needed a publication-ready bibliometric review for an editorial book chapter. Manual VOSviewer + R bibliometrix workflow would take 3 weeks.

Solution

Used Disha-BibAI to ingest 2,400+ records from Scopus + WoS, generate co-citation networks, keyword co-occurrence maps, thematic evolution, and a full publication-ready chapter.

Workflow

1. 1Uploaded BibTeX exports from Scopus + WoS
2. 2BibAI generated metrics: trends, countries, institutions
3. 3Co-citation + keyword co-occurrence networks
4. 4Thematic clusters + citation burst detection
5. 5Auto-drafted chapter with embedded visuals