Daniel Dobos: h-index, Total Citations, and Citation Map
Daniel Dobos's h-index is 231 (639 i10-index, 254,526+ total citations across 20+ publications) according to Google Scholar as of July 2026. Daniel Dobos is affiliated with Swisscom, University of Lancaster, CERN.
Daniel Dobos is a researcher affiliated with Swisscom, University of Lancaster, CERN, specializing in Artificial Intelligence, Machine Learning, Deep Learning. Their work has been cited 254,526 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Daniel Dobos's Citation Metrics
Bibliometric impact based on 20 indexed publications.
- H-Index
- 231
- i10-Index
- 639
- Total Citations
- 254,526
- Citing Countries
- 53
As of July 2026.
Daniel Dobos has an h-index of 231 and 254,526 total citations across 20 publications, with research cited by institutions in 53 countries.
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Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC
201226,403
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Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Daniel Dobos's research
Daniel Dobos is a researcher in Artificial Intelligence, Machine Learning and Deep Learning at Swisscom, University of Lancaster, CERN. Their work has been cited 254,526 times across 20 publications (h-index 231), according to Google Scholar.
Their most-cited work, “Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC” (2012), has accumulated 26,403 citations. Other influential works include “The ATLAS experiment at the CERN large hadron collider” (2008) with 19,695 citations and “The ATLAS simulation infrastructure” (2010) with 9,344 citations.
Citations of Daniel Dobos's research come primarily from United States, United Kingdom and Spain, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
