Bismark Singh: h-index, Total Citations, and Citation Map
Bismark Singh's h-index is 13 (14 i10-index, 1,102+ total citations across 5+ publications) according to Google Scholar as of May 2026. Bismark Singh is affiliated with Associate Professor, PhD, Dr. habil., SMIEEE, AFORS, FIMA, University of Southampton.
Bismark Singh is a researcher affiliated with Associate Professor, PhD, Dr. habil., SMIEEE, AFORS, FIMA, University of Southampton, specializing in Data-driven optimization, Healthcare decision-making, Sustainability. Their work has been cited 1,102 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Bismark Singh's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 13
- i10-Index
- 14
- Total Citations
- 1,102
- Citing Countries
- 20
As of May 2026.
Bismark Singh has an h-index of 13 and 1,102 total citations across 5 publications, with research cited by institutions in 20 countries.
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Global Impact Map
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Top Cited Works
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A modeler's guide to handle complexity in energy systems optimization
2021233
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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 advanced influenza forecasting by publishing a seminal analysis of the CDC's 2013–2014 prediction challenge, establishing a benchmark for evaluating seasonal epidemic models.
The researcher developed a comprehensive methodological framework for managing complexity in energy systems optimization, establishing a widely adopted standard for modeling practices in the field.
The researcher established a foundational methodological framework for solar power forecasting using ARMA models, as evidenced by the seminal 2019 guide and its subsequent independent adoption.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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