Ming Lin Google Scholar: h-index, Total Citations, and Citation Map
Ming Lin's h-index is 106 (335 i10-index, 46,034+ total citations across 693+ publications) according to Google Scholar as of October 2026. Ming Lin is affiliated with College Park & Amazon.
Ming Lin is a researcher affiliated with College Park & Amazon, specializing in various fields. Their work has been cited 46,034 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ming Lin's Citation Metrics
Bibliometric impact based on 693 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 106
- i10-Index
- 335
- Total Citations
- 46,034
- Citing Countries
- 39
As of October 2026.
Ming Lin has an h-index of 106 and 46,034 total citations across 693 publications, with research cited by institutions in 39 countries.
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Global Impact Map
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OBBTree: A hierarchical structure for rapid interference detection
19963,723
Top Citing Countries
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 Ming Lin's research
Ming Lin is a researcher at College Park & Amazon. Their work has been cited 46,034 times across 693 publications (h-index 106), according to Google Scholar.
Their most-cited work, “OBBTree: A hierarchical structure for rapid interference detection” (1996), has accumulated 3,723 citations. Other influential works include “Reciprocal n-Body Collision Avoidance” (2011) with 2,777 citations and “Reciprocal velocity obstacles for real-time multi-agent navigation” (2008) with 2,508 citations.
Citations of Ming Lin'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.
