# Hossein Mohamadipanah

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hossein-mohamadipanah/

## Facts

| Field | Value |
| --- | --- |
| Citations | 185 |
| Field | Surgical Simulation and Training |
| h-index | 10 |
| i10-index | 10 |
| Last Known Institution | Ford Motor Company (United States) |
| OpenAlex ID | https://openalex.org/A5023626051 |
| Works | 29 |

## Researcher papers

- [Can a virtual reality assessment of fine motor skill predict successful central line insertion?](https://scholariq.org/papers/can-a-virtual-reality-assessment-of-fine-motor-skill-predict-successful-central/)
- [Translating motion tracking data into resident feedback: An opportunity for streamlined video coaching](https://scholariq.org/papers/translating-motion-tracking-data-into-resident-feedback-an-opportunity-for/)
- [Sensors and Psychomotor Metrics: A Unique Opportunity to Close the Gap on Surgical Processes and Outcomes](https://scholariq.org/papers/sensors-and-psychomotor-metrics-a-unique-opportunity-to-close-the-gap-on/)
- [Multimodal Cardiopulmonary Bypass Skills Assessment Within a High-Fidelity Simulation Environment](https://scholariq.org/papers/multimodal-cardiopulmonary-bypass-skills-assessment-within-a-high-fidelity/)
- [Do Individual Surgeon Preferences Affect Procedural Outcomes?](https://scholariq.org/papers/do-individual-surgeon-preferences-affect-procedural-outcomes/)
- [Combining Metrics From Clinical Simulators and Sensorimotor Tasks Can Reveal the Training Background of Surgeons](https://scholariq.org/papers/combining-metrics-from-clinical-simulators-and-sensorimotor-tasks-can-reveal-the/)
- [Can Deep Learning Algorithms Help Identify Surgical Workflow and Techniques?](https://scholariq.org/papers/can-deep-learning-algorithms-help-identify-surgical-workflow-and-techniques/)
- [Shortcut assessment: Can residents’ operative performance be determined in the first five minutes of an operative task?](https://scholariq.org/papers/shortcut-assessment-can-residents-operative-performance-be-determined-in-the/)
- [Performance assessment using sensor technology](https://scholariq.org/papers/performance-assessment-using-sensor-technology/)
- [Generating Rare Surgical Events Using CycleGAN: Addressing Lack of Data for Artificial Intelligence Event Recognition](https://scholariq.org/papers/generating-rare-surgical-events-using-cyclegan-addressing-lack-of-data-for/)
- [Hand smoothness in laparoscopic surgery correlates to psychomotor skills in virtual reality](https://scholariq.org/papers/hand-smoothness-in-laparoscopic-surgery-correlates-to-psychomotor-skills-in/)

## Researcher topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Simulation-Based Education in Healthcare](https://scholariq.org/topics/simulation-based-education-in-healthcare/)
- [Anatomy and Medical Technology](https://scholariq.org/topics/anatomy-and-medical-technology/)
- [Innovations in Medical Education](https://scholariq.org/topics/innovations-in-medical-education/)
- [Augmented Reality Applications](https://scholariq.org/topics/augmented-reality-applications/)

## Researcher university

- [Ford Motor Company (United States)](https://scholariq.org/institutions/ford-motor-company-united-states/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.