Christoph Bergmeir: h-index, Total Citations, and Citation Map
Christoph Bergmeir's h-index is 42 (97 i10-index, 16,921+ total citations across 170+ publications) according to Google Scholar as of June 2026. Christoph Bergmeir is affiliated with University of Granada.
Christoph Bergmeir is a researcher affiliated with University of Granada, specializing in Artificial Intelligence, Machine Learning, Time Series Forecasting. Their work has been cited 16,921 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Christoph Bergmeir's Citation Metrics
Bibliometric impact based on 170 indexed publications.
- H-Index
- 42
- i10-Index
- 97
- Total Citations
- 16,921
- Citing Countries
- 61
As of June 2026.
Christoph Bergmeir has an h-index of 42 and 16,921 total citations across 170 publications, with research cited by institutions in 61 countries.
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We've mapped 5,000 of 16,921 citations for Christoph Bergmeir
We've shown the most-cited 5,000. Unlock the full crawl (16,372 more citations) to see every institution citing this scholar.
Global Impact Map
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Recurrent neural networks for time series forecasting: Current status and future directions
20211,941
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.
2 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Christoph Bergmeir's research
Christoph Bergmeir is a researcher in Artificial Intelligence, Machine Learning and Time Series Forecasting at University of Granada. Their work has been cited 16,921 times across 170 publications (h-index 42), according to Google Scholar.
Their most-cited work, “Recurrent neural networks for time series forecasting: Current status and future directions” (2021), has accumulated 1,941 citations. Other influential works include “On the use of cross-validation for time series predictor evaluation” (2012) with 1,682 citations and “Forecasting: theory and practice” (2022) with 1,462 citations.
Citations of Christoph Bergmeir's research come primarily from United States, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
