Ashkan Ebadi

1.3k total citations
38 papers, 824 citations indexed

About

Ashkan Ebadi is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ashkan Ebadi has authored 38 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 9 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ashkan Ebadi's work include scientometrics and bibliometrics research (12 papers), COVID-19 diagnosis using AI (6 papers) and Innovation Policy and R&D (4 papers). Ashkan Ebadi is often cited by papers focused on scientometrics and bibliometrics research (12 papers), COVID-19 diagnosis using AI (6 papers) and Innovation Policy and R&D (4 papers). Ashkan Ebadi collaborates with scholars based in Canada, United States and Iran. Ashkan Ebadi's co-authors include Andrea Schiffauerova, Parisa Rashidi, Tezcan Ozrazgat‐Baslanti, Azra Bihorac, Stéphane Tremblay, Frederick A. Moore, Charles Hobson, Xiaolin Li, Petar Momčilović and Lyle L. Moldawer and has published in prestigious journals such as PLoS ONE, Annals of Surgery and Sensors.

In The Last Decade

Ashkan Ebadi

35 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashkan Ebadi Canada 13 172 132 112 108 100 38 824
Jernej Završnik Slovenia 12 46 0.3× 48 0.4× 67 0.6× 67 0.6× 50 0.5× 58 828
Gerit Wagner Germany 13 29 0.2× 26 0.2× 77 0.7× 21 0.2× 48 0.5× 36 773
Siddhartha Jonnalagadda United States 22 137 0.8× 93 0.7× 868 7.8× 42 0.4× 118 1.2× 51 1.5k
Eric Perakslis United States 14 19 0.1× 86 0.7× 63 0.6× 48 0.4× 64 0.6× 38 835
Bruce I. Reiner United States 25 15 0.1× 43 0.3× 203 1.8× 209 1.9× 116 1.2× 130 2.2k
Syed Sibte Raza Abidi Canada 17 8 0.0× 48 0.4× 454 4.1× 41 0.4× 69 0.7× 165 1.4k
Justin F. Rousseau United States 11 40 0.2× 72 0.5× 236 2.1× 22 0.2× 144 1.4× 50 685
Benjamin L. Ranard United States 7 13 0.1× 101 0.8× 34 0.3× 57 0.5× 12 0.1× 16 978
Andrew Turner United Kingdom 18 11 0.1× 34 0.3× 96 0.9× 69 0.6× 14 0.1× 72 1.2k
Trishan Panch United States 13 13 0.1× 116 0.9× 415 3.7× 81 0.8× 576 5.8× 22 1.6k

Countries citing papers authored by Ashkan Ebadi

Since Specialization
Citations

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

Fields of papers citing papers by Ashkan Ebadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashkan Ebadi

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

All Works

20 of 20 papers shown
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Wong, Alexander, et al.. (2024). Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. NPARC. 794–797. 1 indexed citations
4.
Ebadi, Ashkan, et al.. (2023). Machine Learning Insights into Hypersonics Research Evolution: A 21st Century Perspective. NPARC. 2(2). 79–92. 2 indexed citations
5.
Ebadi, Ashkan, et al.. (2023). COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors. 23(5). 2621–2621. 12 indexed citations
6.
Ma, Kai, Siyuan He, Ashkan Ebadi, et al.. (2023). Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors. 23(19). 8122–8122. 2 indexed citations
7.
Schiffauerova, Andrea, et al.. (2022). Gender-specific patterns in the artificial intelligence scientific ecosystem. Journal of Informetrics. 16(2). 101275–101275. 7 indexed citations
8.
Ebadi, Ashkan, et al.. (2019). How can Automated Machine Learning Help Business Data Science Teams?. NPARC. 1186–1191. 8 indexed citations
9.
Shickel, Benjamin, Tyler J. Loftus, Tezcan Ozrazgat‐Baslanti, et al.. (2018). DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning.. arXiv (Cornell University). 2 indexed citations
10.
Ebadi, Ashkan, Patrick Tighe, Lei Zhang, & Parisa Rashidi. (2017). DisTeam: A decision support tool for surgical team selection. Artificial Intelligence in Medicine. 76. 16–26. 12 indexed citations
11.
Davoudi, Anis, et al.. (2017). Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. PubMed. 2017. 568–573. 40 indexed citations
12.
Ebadi, Ashkan, Josué Luiz Dalboni da Rocha, Fernanda Tovar‐Moll, et al.. (2017). Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images. Frontiers in Neuroscience. 11. 56–56. 52 indexed citations
13.
Ebadi, Ashkan & Andrea Schiffauerova. (2015). A Computer System for Automatic Evaluation of Researchers' Performance.. ISSI. 1 indexed citations
14.
Ebadi, Ashkan & Andrea Schiffauerova. (2015). How to Receive More Funding for Your Research? Get Connected to the Right People!. PLoS ONE. 10(7). e0133061–e0133061. 90 indexed citations
15.
Ebadi, Ashkan & Andrea Schiffauerova. (2015). On the Relation between the Small World Structure and Scientific Activities. PLoS ONE. 10(3). e0121129–e0121129. 19 indexed citations
16.
Ebadi, Ashkan & Andrea Schiffauerova. (2015). Bibliometric Analysis Of The Impact Of Funding On Scientific Development Of Researchers. Zenodo (CERN European Organization for Nuclear Research). 9(5). 1541–1551. 4 indexed citations
17.
Ebadi, Ashkan, et al.. (2013). Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada. Scientometrics. 97(1). 99–119. 56 indexed citations
18.
Ebadi, Ashkan & Andrea Schiffauerova. (2013). Impact of Funding on Scientific Output and Collaboration: A Survey of Literature. Journal of Information & Knowledge Management. 12(4). 1350037–1350037. 16 indexed citations
19.
Nouri, Jamileh Mokhtari, et al.. (2011). STUDY OF FACTORS RELATION TO INTERNET USE WITH USAGE OF INTERNET BY TEACHERS ACCORDING TO THEORY OF REASONED ACTION. Iranian Journal of Nursing Research. 5(19). 25–34. 2 indexed citations
20.
Ebadi, Ashkan, et al.. (2010). Determining barberry quality based on color spectrum histogram and mean using image processing.. American-Asian-Journal of agricultural & environmental sciences. 7(3). 336–340.

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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