David Bejou: h-index, Total Citations, and Citation Map
David Bejou's h-index is 23 (29 i10-index, 4,593+ total citations across 5+ publications) according to Google Scholar as of May 2026. David Bejou is affiliated with Unknown affiliation.
David Bejou is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 4,593 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
David Bejou's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 23
- i10-Index
- 29
- Total Citations
- 4,593
- Citing Countries
- 7
As of May 2026.
David Bejou has an h-index of 23 and 4,593 total citations across 5 publications, with research cited by institutions in 7 countries.
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Global Impact Map
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Top Cited Works
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Tourism destination marketing alliances
1995709
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 established a foundational framework for tourism destination marketing alliances, a seminal contribution that has garnered significant independent scholarly attention since its publication.
The researcher pioneered the application of neural network analysis to evaluate buyer-seller relationships, establishing a foundational methodological framework for computational modeling in marketing science.
The researcher pioneered the application of artificial neural networks to analyze determinants of relationship quality, establishing a foundational computational approach in this domain.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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