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Computer Aided Surgery
JournalCitation impact & published research
Computer Aided Surgery is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 1,128 works, 28,412 citations and an h-index of 84.
1,128
Works
28,412
Citations
84
h-index
IDs:OpenAlex
What are the most-cited papers on Computer Aided Surgery?
ScholarIQmost cited works
Robot-assisted needle placement in open MRI: System architecture, integration and validation
Simon DiMaio, Steve Pieper, Kiyoyuki Chinzei, Nobuhiko Hata, Steven Haker, Daniel F. Kacher, Gábor Fichtinger, C. M. Tempany, R. Kikinis
Computer Aided Surgery. 200791 CitationsOPEN ACCESS
CT-integrated robot for interventional procedures: Preliminary experiment and computer-human interfaces
Jeff Yanof, John R. Haaga, Paul Klahr, Chris Bauer, Dean Nakamoto, Ashutosh Chaturvedi, Ronda Bruce
Computer Aided Surgery. 200154 CitationsOPEN ACCESS
CT-Integrated Robot for Interventional Procedures: Preliminary Experiment and Computer-Human Interfaces
Jeff Yanof, John R. Haaga, Paul Klahr, Chris Bauer, Dean Nakamoto, Ashutosh Chaturvedi, Ronda Bruce
Computer Aided Surgery. 200153 Citations
Clinical outcome after Hypofractionated Stereotactic Radiotherapy (HSRT) for benign skull base tumors
Anand Mahadevan, Scott Floyd, Eric Wong, Clark Chen, Ekkehard Kasper
Computer Aided Surgery. 201135 CitationsOPEN ACCESS
Surgical workflow analysis with Gaussian mixture multivariate autoregressive (GMMAR) models: a simulation study
Constantinos Loukas, Evangelos Georgiou
Computer Aided Surgery. 201325 CitationsOPEN ACCESS
Related on ScholarIQ
Robot-assisted needle placement in open MRI: System architecture, integration and validation
Paper
CT-integrated robot for interventional procedures: Preliminary experiment and computer-human interfaces
Paper
CT-Integrated Robot for Interventional Procedures: Preliminary Experiment and Computer-Human Interfaces
Paper
Clinical outcome after Hypofractionated Stereotactic Radiotherapy (HSRT) for benign skull base tumors
Paper
Surgical workflow analysis with Gaussian mixture multivariate autoregressive (GMMAR) models: a simulation study
Paper
Surgical Simulation and Training
Topic