Roland T. Rust: h-index, Total Citations, and Citation Map
Roland T. Rust's h-index is 95 (175 i10-index, 75,363+ total citations across 5+ publications) according to Google Scholar as of June 2026. Roland T. Rust is affiliated with U. of Maryland.
Roland T. Rust is a researcher affiliated with U. of Maryland, specializing in artificial intelligence, service, marketing strategy. Their work has been cited 75,363 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Roland T. Rust's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 95
- i10-Index
- 175
- Total Citations
- 75,363
- Citing Countries
- 26
As of June 2026.
Roland T. Rust has an h-index of 95 and 75,363 total citations across 5 publications, with research cited by institutions in 26 countries.
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.
Artificial intelligence in service
20185,902
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 integrating artificial intelligence into service systems, as evidenced by a seminal 2018 paper that has garnered over 5,900 citations.
The researcher established a foundational framework linking customer satisfaction, retention, and market share, a seminal contribution that has profoundly shaped empirical research in retailing and marketing strategy.
The researcher advanced service quality theory by synthesizing frontier insights and deriving actionable managerial implications, establishing a highly cited foundational framework for the field.
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.
About Roland T. Rust's research
Roland T. Rust is a researcher in artificial intelligence, service and marketing strategy at U. of Maryland. Their work has been cited 75,363 times across 5 publications (h-index 95), according to Google Scholar.
Their most-cited work, “Artificial intelligence in service” (2018), has accumulated 5,902 citations. Other influential works include “Customer Satisfaction, Customer Retention, and Market Share” (1993) with 4,298 citations and “Service quality: insights and managerial implications from the frontier” (1994) with 3,713 citations.
Citations of Roland T. Rust's research come primarily from United States, Germany and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
