Tiago Cunha: h-index, Total Citations, and Citation Map
Tiago Cunha's h-index is 7 (6 i10-index, 346+ total citations across 5+ publications) according to Google Scholar as of May 2026. Tiago Cunha is affiliated with PhD, Novo Nordisk.
Tiago Cunha is a researcher affiliated with PhD, Novo Nordisk, specializing in Social computing, Machine Learning, Data science. Their work has been cited 346 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Tiago Cunha's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 7
- i10-Index
- 6
- Total Citations
- 346
- Citing Countries
- 16
As of May 2026.
Tiago Cunha has an h-index of 7 and 346 total citations across 5 publications, with research cited by institutions in 16 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Tiago Cunha's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
Factors associated with weight change in online weight management communities: a case study in the LoseIt Reddit community
2017114
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher pioneered empirical analysis of weight change factors within online health communities, establishing a foundational framework for studying digital behavioral interventions through a seminal case study of the LoseIt Reddit community.
The researcher advanced understanding of social feedback mechanisms in online health communities through a seminal 2016 study on Reddit weight loss interactions.
The researcher established a foundational link between social feedback mechanisms and weight loss outcomes within online support communities, demonstrating the critical role of interpersonal interaction in health behavior change.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.











