Martin Jagersand Google Scholar: h-index, Total Citations, and Citation Map
Martin Jagersand's h-index is 41 (117 i10-index, 11,202+ total citations across 242+ publications) according to Google Scholar as of October 2026. Martin Jagersand is affiliated with Professor, University of Alberta, Alberta Canada.
Martin Jagersand is a researcher affiliated with Professor, University of Alberta, Alberta Canada, specializing in visual servoing, robotics, computer vision. Their work has been cited 11,202 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Martin Jagersand's Citation Metrics
Bibliometric impact based on 242 indexed publications.
- H-Index
- 41
- i10-Index
- 117
- Total Citations
- 11,202
- Citing Countries
- 34
As of October 2026.
Martin Jagersand has an h-index of 41 and 11,202 total citations across 242 publications, with research cited by institutions in 34 countries.
Global Impact Map
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U$^2$-Net: Going deeper with nested U-structure for salient object detection
20203,090
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)
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About Martin Jagersand's research
Martin Jagersand is a researcher in visual servoing, robotics and computer vision at Professor, University of Alberta, Alberta Canada. Their work has been cited 11,202 times across 242 publications (h-index 41), according to Google Scholar.
Their most-cited work, “U$^2$-Net: Going deeper with nested U-structure for salient object detection” (2020), has accumulated 3,090 citations. Other influential works include “Basnet: Boundary-aware salient object detection” (2019) with 2,147 citations and “Experimental evaluation of uncalibrated visual servoing for precision manipulation” (1997) with 316 citations.
Citations of Martin Jagersand's research come primarily from China, United States and Japan, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
