Narges Ahmidi

922 total citations
26 papers, 609 citations indexed

About

Narges Ahmidi is a scholar working on Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Narges Ahmidi has authored 26 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in Narges Ahmidi's work include Surgical Simulation and Training (11 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Anatomy and Medical Technology (5 papers). Narges Ahmidi is often cited by papers focused on Surgical Simulation and Training (11 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Anatomy and Medical Technology (5 papers). Narges Ahmidi collaborates with scholars based in United States, Germany and Canada. Narges Ahmidi's co-authors include Gregory D. Hager, Masaru Ishii, Sanjeev Khudanpur, Reza Safabakhsh, Yixin Gao, Renè Vidal, Lisa E. Ishii, Benjamı́n Béjar, Gary L. Gallia and Lingling Tao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Heart Journal.

In The Last Decade

Narges Ahmidi

26 papers receiving 590 citations

Peers

Narges Ahmidi

SURGE

CVPR

CCM

Luca Zappella Spain

Benjamı́n Béjar Switzerland

Stamatia Giannarou United Kingdom

Sebastian Bodenstedt Germany

Sandy Engelhardt Germany

Carol E. Reiley United States

Munenori Uemura Japan

Azad Shademan Canada

Pierre Vieyres France

Elvis C. S. Chen Canada

Luca Zappella Spain

Narges Ahmidi

276 ×0.8

SURGE

210 ×0.8

267 ×1.5

CVPR

52 ×0.5

CCM

29 ×0.6

Citations per year, relative to Narges Ahmidi Narges Ahmidi (= 1×) peers Luca Zappella

Countries citing papers authored by Narges Ahmidi

Since Specialization

Citations

This map shows the geographic impact of Narges Ahmidi'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 Narges Ahmidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narges Ahmidi more than expected).

Fields of papers citing papers by Narges Ahmidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narges Ahmidi. 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 Narges Ahmidi. The network helps show where Narges Ahmidi may publish in the future.

Co-authorship network of co-authors of Narges Ahmidi

This figure shows the co-authorship network connecting the top 25 collaborators of Narges Ahmidi. A scholar is included among the top collaborators of Narges Ahmidi 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 Narges Ahmidi. Narges Ahmidi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ahmidi, Narges, et al.. (2024). Analysis of Missingness Scenarios for Observational Health Data. Journal of Personalized Medicine. 14(5). 514–514. 1 indexed citations

Fischer, J., Sophia Stoecklein, Andreas W. Flemmer, et al.. (2024). Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach. BMC Pediatrics. 24(1). 1 indexed citations

Ahmidi, Narges, et al.. (2023). What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification. SHILAP Revista de lepidopterología. 5(2). 539–559. 4 indexed citations

Ahmidi, Narges, et al.. (2023). Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms. Statistics in Medicine. 42(29). 5419–5450. 2 indexed citations

Hellmuth, Johannes C., Nikolaus Kneidinger, Marion Frankenberger, et al.. (2022). Proteomics reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(2). 166592–166592. 9 indexed citations

Kindt, Alida, Narges Ahmidi, Andreas W. Flemmer, et al.. (2022). Improved Macro- and Micronutrient Supply for Favorable Growth and Metabolomic Profile with Standardized Parenteral Nutrition Solutions for Very Preterm Infants. Nutrients. 14(19). 3912–3912. 3 indexed citations

Becker, Tim, et al.. (2021). Artificial Intelligence for Prognostic Scores in Oncology: a Benchmarking Study. Frontiers in Artificial Intelligence. 4. 625573–625573. 14 indexed citations

Alejo, Diane, Zach Wood-Doughty, Marc Sussman, et al.. (2021). Leveraging Machine Learning to Predict 30-Day Hospital Readmission After Cardiac Surgery. The Annals of Thoracic Surgery. 114(6). 2173–2179. 13 indexed citations

DiPietro, Robert, Narges Ahmidi, Anand Malpani, et al.. (2019). Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks. International Journal of Computer Assisted Radiology and Surgery. 14(11). 2005–2020. 45 indexed citations

10.

Vedula, S. Swaroop, Anand Malpani, Narges Ahmidi, et al.. (2018). Association Between Surgical Trainee Daytime Sleepiness and Intraoperative Technical Skill When Performing Septoplasty. JAMA Facial Plastic Surgery. 21(2). 104–109. 1 indexed citations

11.

Ahmidi, Narges, Lingling Tao, Shahin Sefati, et al.. (2017). A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. IEEE Transactions on Biomedical Engineering. 64(9). 2025–2041. 182 indexed citations

12.

Vedula, S. Swaroop, Anand Malpani, Narges Ahmidi, et al.. (2016). Task-Level vs. Segment-Level Quantitative Metrics for Surgical Skill Assessment. Journal of surgical education. 73(3). 482–489. 28 indexed citations

13.

Vedula, S. Swaroop, Anand Malpani, Lingling Tao, et al.. (2016). Analysis of the Structure of Surgical Activity for a Suturing and Knot-Tying Task. PLoS ONE. 11(3). e0149174–e0149174. 22 indexed citations

14.

Ahmidi, Narges, Jonathan D. Jones, S. Swaroop Vedula, et al.. (2015). Automated objective surgical skill assessment in the operating room from unstructured tool motion in septoplasty. International Journal of Computer Assisted Radiology and Surgery. 10(6). 981–991. 60 indexed citations

15.

Ahmidi, Narges, Yixin Gao, Benjamı́n Béjar, et al.. (2013). String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery. Lecture notes in computer science. 16(Pt 1). 26–33. 29 indexed citations

16.

Ahmidi, Narges, Masaru Ishii, Gábor Fichtinger, Gary L. Gallia, & Gregory D. Hager. (2012). An objective and automated method for assessing surgical skill in endoscopic sinus surgery using eye‐tracking and tool‐motion data. International Forum of Allergy & Rhinology. 2(6). 507–515. 39 indexed citations

17.

Ahmidi, Narges, Gregory D. Hager, Lisa E. Ishii, Gary L. Gallia, & Masaru Ishii. (2012). Robotic Path Planning for Surgeon Skill Evaluation in Minimally-Invasive Sinus Surgery. Lecture notes in computer science. 15(Pt 1). 471–478. 20 indexed citations

18.

Ahmidi, Narges, Gregory D. Hager, Lisa E. Ishii, et al.. (2010). Surgical Task and Skill Classification from Eye Tracking and Tool Motion in Minimally Invasive Surgery. Lecture notes in computer science. 13(Pt 3). 295–302. 63 indexed citations

19.

Ahmidi, Narges, et al.. (2008). A human visual model for steganography. Conference proceedings - Canadian Conference on Electrical and Computer Engineering. 1077–1080. 2 indexed citations

20.

Ahmidi, Narges & Reza Safabakhsh. (2004). A novel DCT-based approach for secure color image watermarking. 709–713 Vol.2. 48 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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