Hamid Nasiri

1.2k total citations
40 papers, 804 citations indexed

About

Hamid Nasiri is a scholar working on Artificial Intelligence, Mechanical Engineering and Clinical Psychology. According to data from OpenAlex, Hamid Nasiri has authored 40 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Mechanical Engineering and 6 papers in Clinical Psychology. Recurrent topics in Hamid Nasiri's work include AI in cancer detection (6 papers), Mineral Processing and Grinding (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Hamid Nasiri is often cited by papers focused on AI in cancer detection (6 papers), Mineral Processing and Grinding (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Hamid Nasiri collaborates with scholars based in Iran, Sweden and United Kingdom. Hamid Nasiri's co-authors include Saeed Chehreh Chelgani, Mohammad Mehdi Ebadzadeh, A. Tohry, Mohammad Azadi, Ali Dadashi, Amrollah Ebrahimi, Parvin Bahadoran, Morteza Pourahmad, Abdolreza Sotoodeh Jahromi and Okan Mert Katipoğlu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neurocomputing.

In The Last Decade

Hamid Nasiri

37 papers receiving 778 citations

Peers

Hamid Nasiri
J. Solà Switzerland
Xin Huang China
Xianghong Ma United Kingdom
Yi Han China
Yoonsuh Jung South Korea
Homa Taghipour United States
J. Solà Switzerland
Hamid Nasiri
Citations per year, relative to Hamid Nasiri Hamid Nasiri (= 1×) peers J. Solà

Countries citing papers authored by Hamid Nasiri

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Nasiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Nasiri

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Nasiri. A scholar is included among the top collaborators of Hamid Nasiri 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 Hamid Nasiri. Hamid Nasiri 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.
Achite, Mohammed, et al.. (2025). A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration. Theoretical and Applied Climatology. 156(2). 5 indexed citations
2.
Nasiri, Hamid, Ali Dadashi, & Mohammad Azadi. (2024). Machine learning for fatigue lifetime predictions in 3D-printed polylactic acid biomaterials based on interpretable extreme gradient boosting model. Materials Today Communications. 39. 109054–109054. 13 indexed citations
3.
Nasiri, Hamid, et al.. (2024). Histopathology image analysis for gastric cancer detection: a hybrid deep learning and catboost approach. Multimedia Tools and Applications. 84(19). 21777–21803. 5 indexed citations
4.
Yağın, Fatma Hilal, et al.. (2024). Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome. PeerJ Computer Science. 10. e1857–e1857. 7 indexed citations
5.
Nasiri, Hamid & Mohammad Mehdi Ebadzadeh. (2023). Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition. Applied Soft Computing. 148. 110867–110867. 40 indexed citations
7.
Nasiri, Hamid, et al.. (2023). Breast cancer diagnosis from histopathology images using deep neural network and XGBoost. Biomedical Signal Processing and Control. 86. 105152–105152. 55 indexed citations
8.
Nasiri, Hamid, et al.. (2023). Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods. Diagnostics. 13(14). 2391–2391. 27 indexed citations
9.
Nasiri, Hamid, Mohammad Azadi, & Ali Dadashi. (2023). Interpretable Extreme Gradient Boosting Machine Learning Model for Fatigue Lifetimes in 3D-Printed Polylactic Acid Biomaterials. SSRN Electronic Journal. 7 indexed citations
10.
11.
Chelgani, Saeed Chehreh, et al.. (2023). Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A “conscious lab” approach. Powder Technology. 420. 118416–118416. 51 indexed citations
12.
Nasiri, Hamid, et al.. (2022). Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods. Computers & Electrical Engineering. 103. 108382–108382. 72 indexed citations
13.
Nasiri, Hamid, et al.. (2022). Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM. 201–206. 17 indexed citations
14.
Nasiri, Hamid, et al.. (2022). Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a "conscious lab" approach. Scientific Reports. 12(1). 7543–7543. 54 indexed citations
15.
Kohan, Shahnaz, et al.. (2018). The effects of mental health training program on stress, anxiety, and depression during pregnancy. Iranian Journal of Nursing and Midwifery Research. 23(2). 93–93. 8 indexed citations
16.
Nasiri, Hamid, et al.. (2015). Cognitive-analytical therapy for a patient with functional neurological symptom disorder-conversion disorder (psychogenic myopia): A case study. Journal of Research in Medical Sciences. 20(5). 522–522. 2 indexed citations
17.
Bahadoran, Parvin, et al.. (2015). The effect of face-to-face or group education during pregnancy on sexual function of couples in Isfahan. Iranian Journal of Nursing and Midwifery Research. 20(5). 582–582. 25 indexed citations
19.
Nasiri, Hamid, et al.. (2013). Personality Profile of Women Affected with Borderline Personality Disorder. Materia Socio Medica. 25(1). 60–60. 4 indexed citations
20.
Pourahmad, Morteza, Abdolreza Sotoodeh Jahromi, & Hamid Nasiri. (2009). Hepatitis E Virus Infection in Hemodialysis Patients: A Seroepidemiological Survey in Jahrom, Southern Iran. Hepatitis Monthly. 9(3). 232–235. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026