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Mona Fathollahi
ResearcherPublications, citations & collaboration network
Mona Fathollahi is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 8 works, 29 citations, an h-index of 3 and an i10-index of 2.
8
Works
29
Citations
3
h-index
2
i10-index
IDs:OpenAlex
How has Mona Fathollahi's publication output changed over time?
ScholarIQpublication output · 2009–2026
Output grew0% over the shown period — from 1 works in 2009 to 1 in 2026.
1
3
1
2
1
20092016201720222026
What are the most-cited papers on Mona Fathollahi?
ScholarIQmost cited works
Video-Based Surgical Skills Assessment Using Long Term Tool Tracking
Mona Fathollahi, Mohammad Hasan Sarhan, Ramón Peña, Lela DiMonte, Anshu Gupta, Aishani Ataliwala, Jocelyn Barker
Lecture notes in computer science. 202213 Citations
Autonomous Driving Challenge: To Infer the Property of a Dynamic Object Based on Its Motion Pattern
Mona Fathollahi, Rangachar Kasturi
Lecture notes in computer science. 201612 Citations
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network
Mona Fathollahi, Rangachar Kasturi
arXiv (Cornell University). 20163 CitationsOPEN ACCESS
Autonomous driving challenge: To Infer the property of a dynamic object\n based on its motion pattern using recurrent neural network
Mona Fathollahi, Rangachar Kasturi
arXiv (Cornell University). 20161 CitationsOPEN ACCESS
Preventing the transmission of harmful cognitive radio users in the presence of primary users
Mona Fathollahi, M. Soleimanipour
20090 Citations
Related on ScholarIQ
Amazon (United States)
Institution
Video-Based Surgical Skills Assessment Using Long Term Tool Tracking
Paper
Autonomous Driving Challenge: To Infer the Property of a Dynamic Object Based on Its Motion Pattern
Paper
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network
Paper
Autonomous driving challenge: To Infer the property of a dynamic object\n based on its motion pattern using recurrent neural network
Paper
Preventing the transmission of harmful cognitive radio users in the presence of primary users
Paper