Ali Ebrahimi

593 total citations
40 papers, 375 citations indexed

About

Ali Ebrahimi is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Ali Ebrahimi has authored 40 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Civil and Structural Engineering, 10 papers in Artificial Intelligence and 7 papers in Epidemiology. Recurrent topics in Ali Ebrahimi's work include Asphalt Pavement Performance Evaluation (6 papers), Substance Abuse Treatment and Outcomes (5 papers) and Artificial Intelligence in Healthcare (4 papers). Ali Ebrahimi is often cited by papers focused on Asphalt Pavement Performance Evaluation (6 papers), Substance Abuse Treatment and Outcomes (5 papers) and Artificial Intelligence in Healthcare (4 papers). Ali Ebrahimi collaborates with scholars based in Denmark, United States and Iran. Ali Ebrahimi's co-authors include Pranshoo Solanki, James M. Tinjum, Tuncer B. Edil, Tuncer B. Edil, Musharraf Zaman, Luther W. White, Uffe Kock Wiil, Marjan Mansourvar, Thomas Schmidt and Craig H. Benson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ali Ebrahimi

34 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Ebrahimi Denmark 10 235 85 47 45 36 40 375
Yu Cui China 11 72 0.3× 107 1.3× 47 1.0× 22 0.5× 44 1.2× 22 339
Abdul Jabbar Pakistan 13 180 0.8× 18 0.2× 65 1.4× 35 0.8× 137 3.8× 44 611
Wassim Raphaël Lebanon 11 370 1.6× 25 0.3× 230 4.9× 11 0.2× 46 1.3× 42 481
Hui Feng China 8 28 0.1× 64 0.8× 22 0.5× 34 0.8× 8 0.2× 30 320
Mahdi Saadat Australia 13 404 1.7× 116 1.4× 121 2.6× 15 0.3× 48 1.3× 23 737
Aleksander Wrana Poland 7 127 0.5× 57 0.7× 52 1.1× 4 0.1× 18 0.5× 14 318
Xigui Zheng China 15 247 1.1× 136 1.6× 119 2.5× 31 0.7× 14 0.4× 40 573
Bei Han China 10 255 1.1× 112 1.3× 135 2.9× 15 0.3× 8 0.2× 21 457
Adnan Qadir Pakistan 11 149 0.6× 9 0.1× 9 0.2× 13 0.3× 89 2.5× 28 281

Countries citing papers authored by Ali Ebrahimi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ebrahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ebrahimi

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ebrahimi. A scholar is included among the top collaborators of Ali Ebrahimi 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 Ali Ebrahimi. Ali Ebrahimi 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
1.
Peimankar, Abdolrahman, et al.. (2025). Explainable deep learning based techniques for ECG-Based heart disease classification: A systematic literature review and future direction. Computers in Biology and Medicine. 199. 111324–111324.
2.
Ebrahimi, Ali, et al.. (2025). A Systematic Literature Review for Blockchain-Based Healthcare Implementations. Healthcare. 13(9). 1087–1087.
3.
Ebrahimi, Ali, Farjad Shadmehri, & Suong V. Hoa. (2024). In-situ residual strength prediction of composites subjected to fatigue loading. Composites Part A Applied Science and Manufacturing. 187. 108490–108490. 1 indexed citations
4.
5.
Aslani, Armin, et al.. (2024). Incidence trends of gastric cancer in the United States over 2000–2020: A population-based analysis. PLoS ONE. 19(9). e0310040–e0310040. 4 indexed citations
6.
Brasen, Claus Lohman, Ali Ebrahimi, Ole Hilberg, et al.. (2024). Pulmonologists-level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach. Scientific Reports. 14(1). 30630–30630. 3 indexed citations
7.
Ebrahimi, Ali, Claus Lohman Brasen, Ole Hilberg, et al.. (2024). Identification of patients’ smoking status using an explainable AI approach: a Danish electronic health records case study. BMC Medical Research Methodology. 24(1). 114–114. 5 indexed citations
8.
Peimankar, Abdolrahman, Ali Ebrahimi, & Uffe Kock Wiil. (2024). xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1). 5 indexed citations
9.
Frigerio, Carlo Sala, Ali Ebrahimi, Jacqueline A. Brosnan‐Cashman, et al.. (2024). THU-203 Integrated spatial transcriptomics and machine learning derived histopathology measurements in steatotic liver disease unmasks biological heterogeneity of steatosis. Journal of Hepatology. 80. S567–S567. 1 indexed citations
10.
Ebrahimi, Ali, et al.. (2023). A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders. Sensors. 23(2). 679–679. 9 indexed citations
11.
Hansen, Torben Frøstrup, Lars Henrik Jensen, Claus Lohman Brasen, et al.. (2023). A collection of multiregistry data on patients at high risk of lung cancer—a Danish retrospective cohort study of nearly 40,000 patients. Translational Lung Cancer Research. 12(12). 2392–2411. 5 indexed citations
12.
Yari, Ahmad Reza, et al.. (2022). Monitoring and Assessing Health Risk of Exposure to Nitrate Residues in Agricultural Products; Case Study in Qom Province, Iran. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Ebrahimi, Ali, et al.. (2022). Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods. BMC Medical Informatics and Decision Making. 22(1). 304–304. 2 indexed citations
14.
Schmidt, Thomas, et al.. (2021). Machine learning techniques for mortality prediction in emergency departments: a systematic review. BMJ Open. 11(11). e052663–e052663. 30 indexed citations
15.
Schmidt, Thomas, et al.. (2021). Quantifying the impact of addressing data challenges in prediction of length of stay. BMC Medical Informatics and Decision Making. 21(1). 298–298. 13 indexed citations
16.
Ebrahimi, Ali, et al.. (2018). VCAM-1 as an Endothelial Factor for Diagnosis of Dementia in Parkinson’s Disease. Journal of Neurology and Neuroscience. 9(1). 3 indexed citations
17.
Ebrahimi, Ali, James M. Tinjum, & Tuncer B. Edil. (2014). Deformational behavior of fouled railway ballast. Canadian Geotechnical Journal. 52(3). 344–355. 57 indexed citations
18.
Ebrahimi, Ali, et al.. (2013). Management of missile injuries to the maxillofacial region: A case series. 2(3). 62–66. 1 indexed citations
19.
Ebrahimi, Ali. (2011). Behavior or Fouled Ballast. 107(8). 5 indexed citations
20.
Solanki, Pranshoo, Ali Ebrahimi, & Musharraf Zaman. (2008). Statistical Models for Determination of the Resilient Modulus of Subgrade Soils. International Journal of Pavement Research and Technology. 1(3). 85–93. 6 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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