Daniel Dobos Google Scholar: h-index, Total Citations, and Citation Map
Daniel Dobos's h-index is 236 (633 i10-index, 263,435+ total citations across 20+ publications) according to Google Scholar as of October 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 263,435 times. This profile visualizes their global influence, highlighting strong citation networks in Switzerland.
Daniel Dobos's Citation Metrics
Bibliometric impact based on 20 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 236
- i10-Index
- 633
- Total Citations
- 263,435
- Citing Countries
- 61
As of October 2026.
Daniel Dobos has an h-index of 236 and 263,435 total citations across 20 publications, with research cited by institutions in 61 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Daniel Dobos's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
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.
Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC
201226,372
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.
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 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 263,435 times across 20 publications (h-index 236), 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 26,372 citations. Other influential works include “The ATLAS experiment at the CERN large hadron collider” (2008) with 19,681 citations and “The ATLAS simulation infrastructure” (2010) with 9,817 citations.
Citations of Daniel Dobos's research come primarily from Switzerland, United States 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.
