Nykan Mirchi

1.5k total citations
17 papers, 934 citations indexed

About

Nykan Mirchi is a scholar working on Surgery, Biomedical Engineering and Health Informatics. According to data from OpenAlex, Nykan Mirchi has authored 17 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 12 papers in Biomedical Engineering and 6 papers in Health Informatics. Recurrent topics in Nykan Mirchi's work include Surgical Simulation and Training (15 papers), Anatomy and Medical Technology (8 papers) and Medical Imaging and Analysis (6 papers). Nykan Mirchi is often cited by papers focused on Surgical Simulation and Training (15 papers), Anatomy and Medical Technology (8 papers) and Medical Imaging and Analysis (6 papers). Nykan Mirchi collaborates with scholars based in Canada, Saudi Arabia and Iran. Nykan Mirchi's co-authors include Nicole Ledwos, Rolando F. Del Maestro, Alexander Winkler-Schwartz, Recai Yilmaz, Vincent Bissonnette, Bekir Karlık, Hamed Azarnoush, Ali M. Fazlollahi, Mohamad Bakhaidar and Khalid Bajunaid and has published in prestigious journals such as PLoS ONE, Journal of Bone and Joint Surgery and British journal of surgery.

In The Last Decade

Nykan Mirchi

17 papers receiving 901 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nykan Mirchi Canada 13 461 337 333 128 111 17 934
Nicole Ledwos Canada 14 470 1.0× 341 1.0× 333 1.0× 123 1.0× 113 1.0× 20 997
Recai Yilmaz Canada 12 421 0.9× 307 0.9× 309 0.9× 123 1.0× 98 0.9× 29 863
Vincent Bissonnette Canada 8 355 0.8× 262 0.8× 240 0.7× 81 0.6× 81 0.7× 13 708
Alexander Winkler-Schwartz Canada 19 870 1.9× 633 1.9× 357 1.1× 145 1.1× 150 1.4× 47 1.4k
Jiayao Zhang China 12 138 0.3× 230 0.7× 137 0.4× 119 0.9× 78 0.7× 33 858
Mitchell G. Goldenberg Canada 15 474 1.0× 229 0.7× 88 0.3× 60 0.5× 112 1.0× 49 871
Khalid Bajunaid Saudi Arabia 16 366 0.8× 229 0.7× 88 0.3× 52 0.4× 61 0.5× 29 590
Kyle Lam United Kingdom 13 153 0.3× 126 0.4× 473 1.4× 245 1.9× 103 0.9× 32 1.2k
Ravi Aggarwal United Kingdom 8 170 0.4× 105 0.3× 182 0.5× 276 2.2× 53 0.5× 12 769
Fahad Iqbal United Kingdom 19 365 0.8× 102 0.3× 58 0.2× 205 1.6× 69 0.6× 71 1.1k

Countries citing papers authored by Nykan Mirchi

Since Specialization
Citations

This map shows the geographic impact of Nykan Mirchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nykan Mirchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nykan Mirchi more than expected).

Fields of papers citing papers by Nykan Mirchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nykan Mirchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nykan Mirchi. The network helps show where Nykan Mirchi may publish in the future.

Co-authorship network of co-authors of Nykan Mirchi

This figure shows the co-authorship network connecting the top 25 collaborators of Nykan Mirchi. A scholar is included among the top collaborators of Nykan Mirchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nykan Mirchi. Nykan Mirchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Fazlollahi, Ali M., Recai Yilmaz, Alexander Winkler-Schwartz, et al.. (2023). AI in Surgical Curriculum Design and Unintended Outcomes for Technical Competencies in Simulation Training. JAMA Network Open. 6(9). e2334658–e2334658. 34 indexed citations
2.
Mirchi, Nykan, Recai Yilmaz, Nicole Ledwos, et al.. (2022). Artificial Neural Network Approach to Competency-Based Training Using a Virtual Reality Neurosurgical Simulation. Operative Neurosurgery. 23(1). 31–39. 18 indexed citations
3.
Mirchi, Nykan, Nebras M. Warsi, Simeon M. Wong, et al.. (2022). Decoding Intracranial EEG With Machine Learning: A Systematic Review. Frontiers in Human Neuroscience. 16. 913777–913777. 11 indexed citations
4.
Yilmaz, Recai, Alexander Winkler-Schwartz, Nykan Mirchi, et al.. (2022). Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation. npj Digital Medicine. 5(1). 54–54. 23 indexed citations
5.
Fazlollahi, Ali M., Mohamad Bakhaidar, Recai Yilmaz, et al.. (2022). 510 Artificial Intelligence Tutoring Compared with Expert Instruction in Neurosurgical Simulation Training: A Randomized Controlled Trial. Neurosurgery. 68(Supplement_1). 128–129. 2 indexed citations
6.
Yilmaz, Recai, Nicole Ledwos, Alexander Winkler-Schwartz, et al.. (2022). Nondominant Hand Skills Spatial and Psychomotor Analysis During a Complex Virtual Reality Neurosurgical Task—A Case Series Study. Operative Neurosurgery. 23(1). 22–30. 6 indexed citations
7.
Fazlollahi, Ali M., Mohamad Bakhaidar, Recai Yilmaz, et al.. (2022). Effect of Artificial Intelligence Tutoring vs Expert Instruction on Learning Simulated Surgical Skills Among Medical Students. JAMA Network Open. 5(2). e2149008–e2149008. 115 indexed citations
8.
Ledwos, Nicole, et al.. (2021). Utilizing a multilayer perceptron artificial neural network to assess a virtual reality surgical procedure. Computers in Biology and Medicine. 136. 104770–104770. 37 indexed citations
9.
Yilmaz, Recai, et al.. (2021). O51: ARTIFICIAL INTELLIGENCE UTILIZING RECURRENT NEURAL NETWORKS TO CONTINUOUSLY MONITOR COMPOSITES OF SURGICAL EXPERTISE. British journal of surgery. 108(Supplement_1). 2 indexed citations
10.
Mirchi, Nykan, Nicole Ledwos, & Rolando F. Del Maestro. (2020). Intelligent Tutoring Systems: Re-Envisioning Surgical Education in Response to COVID-19. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 48(2). 198–200. 13 indexed citations
11.
Mirchi, Nykan, Vincent Bissonnette, Recai Yilmaz, et al.. (2020). The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine. PLoS ONE. 15(2). e0229596–e0229596. 179 indexed citations
12.
Ledwos, Nicole, Nykan Mirchi, Vincent Bissonnette, et al.. (2020). Virtual Reality Anterior Cervical Discectomy and Fusion Simulation on the Novel Sim-Ortho Platform: Validation Studies. Operative Neurosurgery. 20(1). 74–82. 27 indexed citations
13.
Bissonnette, Vincent, et al.. (2019). Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task. Journal of Bone and Joint Surgery. 101(23). e127–e127. 108 indexed citations
14.
Winkler-Schwartz, Alexander, Vincent Bissonnette, Nykan Mirchi, et al.. (2019). Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation. Journal of surgical education. 76(6). 1681–1690. 184 indexed citations
15.
Mirchi, Nykan, Vincent Bissonnette, Nicole Ledwos, et al.. (2019). Artificial Neural Networks to Assess Virtual Reality Anterior Cervical Discectomy Performance. Operative Neurosurgery. 19(1). 65–75. 47 indexed citations
16.
Winkler-Schwartz, Alexander, Recai Yilmaz, Nykan Mirchi, et al.. (2019). Machine Learning Identification of Surgical and Operative Factors Associated With Surgical Expertise in Virtual Reality Simulation. JAMA Network Open. 2(8). e198363–e198363. 112 indexed citations
17.
Mirchi, Nykan, Richard F. Betzel, Boris C. Bernhardt, Alain Dagher, & Bratislav Mišić. (2018). Tracking mood fluctuations with functional network patterns. Social Cognitive and Affective Neuroscience. 14(1). 47–57. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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