Roland Siegwart is a researcher affiliated with Professor of Robotics, ETH Zurich, Switzerland, specializing in AI & Machine Learning. Their work has been cited 108,186 times. This profile visualizes their global influence, highlighting strong citation networks in GB.
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Bibliometric impact based on 1 indexed publication.
As of April 2026.
Roland Siegwart has an h-index of 1 and 108,186 total citations across 1 publication, with research cited by institutions in 3 countries.
Visualizing the geographic distribution of institutions that have cited your work.
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.
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 3 of 3 countries (6 total citations).
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
Geoffrey Ye Li
7.0Imperial College London
United Kingdom· Cited your work 1 time
Biing-Hwang (Fred) Juang
8.5Georgia Institute of Technology
United States· Cited your work 1 time
Anbalagan Loganathan
6.5Universiti Sains Malaysia
Malaysia· Cited your work 1 time
Nur Syazreen Ahmad
6.5Universiti Sains Malaysia
Malaysia· Cited your work 1 time
Huiqiang Xie
5.0Queen Mary University of London
United Kingdom· Cited your work 1 time
Zhijin Qin
5.0Queen Mary University of London
United Kingdom· Cited your work 1 time
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Citations flagged as non-independent share the scholar's home institution (ETH Zürich). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Introduction to Autonomous Mobile Robots”
Anbalagan Loganathan, Nur Syazreen Ahmad
Engineering Science and Technology, an International Journal· cites “Introduction to Autonomous Mobile Robots”
Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li, Biing-Hwang (Fred) Juang
IEEE Transactions on Signal Processing· cites “Introduction to Autonomous Mobile Robots”
· cites “Introduction to Autonomous Mobile Robots”
· cites “Introduction to Autonomous Mobile Robots”
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