Mehrdad Oveisi

1.4k total citations
41 papers, 873 citations indexed

About

Mehrdad Oveisi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mehrdad Oveisi has authored 41 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mehrdad Oveisi's work include Radiomics and Machine Learning in Medical Imaging (28 papers), Advanced X-ray and CT Imaging (15 papers) and Medical Imaging Techniques and Applications (13 papers). Mehrdad Oveisi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (28 papers), Advanced X-ray and CT Imaging (15 papers) and Medical Imaging Techniques and Applications (13 papers). Mehrdad Oveisi collaborates with scholars based in Iran, Canada and Switzerland. Mehrdad Oveisi's co-authors include Isaac Shiri, Habib Zaidi, Ghasem Hajianfar, Hamid Abdollahi, Mostafa Nazari, Niki Oveisi, Mehdi Amini, Arman Rahmim, Mostafa Ghelich Oghli and Atlas Haddadi Avval and has published in prestigious journals such as Bioinformatics, Nature Reviews Genetics and Medical Physics.

In The Last Decade

Mehrdad Oveisi

36 papers receiving 868 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mehrdad Oveisi Iran	14	691	281	241	140	82	41	873
Ghasem Hajianfar Iran	20	1.0k 1.5×	391 1.4×	329 1.4×	210 1.5×	57 0.7×	86	1.2k
Albert Comelli Italy	23	710 1.0×	265 0.9×	382 1.6×	197 1.4×	21 0.3×	67	1.2k
Guanzhong Gong China	15	470 0.7×	92 0.3×	239 1.0×	117 0.8×	24 0.3×	91	753
Eric A. Cohen United States	15	453 0.7×	100 0.4×	177 0.7×	181 1.3×	60 0.7×	44	621
Alessandro Stefano Italy	25	880 1.3×	298 1.1×	431 1.8×	207 1.5×	18 0.2×	82	1.3k
Michael Jameson Australia	19	938 1.4×	210 0.7×	482 2.0×	99 0.7×	58 0.7×	76	1.3k
Wouter J. C. van Elmpt Netherlands	16	1.2k 1.7×	399 1.4×	642 2.7×	143 1.0×	39 0.5×	22	1.5k
Vishwa S. Parekh United States	14	722 1.0×	213 0.8×	154 0.6×	252 1.8×	12 0.1×	39	942
Garth M. Beache United States	13	514 0.7×	194 0.7×	188 0.8×	107 0.8×	246 3.0×	49	1.1k
Andrés Larroza Spain	9	391 0.6×	120 0.4×	117 0.5×	49 0.3×	57 0.7×	16	466

Countries citing papers authored by Mehrdad Oveisi

Since Specialization

Citations

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

Fields of papers citing papers by Mehrdad Oveisi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehrdad Oveisi

This figure shows the co-authorship network connecting the top 25 collaborators of Mehrdad Oveisi. A scholar is included among the top collaborators of Mehrdad Oveisi 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 Mehrdad Oveisi. Mehrdad Oveisi 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

Awan, Ali Raza, Mehrdad Oveisi, & Mohammad M. Karimi. (2025). Prompt-based bioinformatics: a new interface for multi-omics analysis. Nature Reviews Genetics. 26(12). 807–808. 2 indexed citations

Mansouri, Zahra, Yazdan Salimi, Mehdi Amini, et al.. (2024). Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study. Radiation Oncology. 19(1). 12–12. 12 indexed citations

Hajianfar, Ghasem, Seyyed Ali Hosseini, Sara Bagherieh, et al.. (2024). Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study. Medical & Biological Engineering & Computing. 62(8). 2319–2332. 11 indexed citations

Hajianfar, Ghasem, Atlas Haddadi Avval, Seyyed Ali Hosseini, et al.. (2023). Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics. La radiologia medica. 128(12). 1521–1534. 23 indexed citations

Hajianfar, Ghasem, Yazdan Salimi, Mehdi Amini, et al.. (2023). Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance. Zeitschrift für Medizinische Physik. 34(2). 242–257. 13 indexed citations

Amini, Mehdi, et al.. (2023). Dual-Centre Harmonised Multimodal Positron Emission Tomography/Computed Tomography Image Radiomic Features and Machine Learning Algorithms for Non-small Cell Lung Cancer Histopathological Subtype Phenotype Decoding. Clinical Oncology. 35(11). 713–725. 9 indexed citations

Khaleghparast, Shiva, Majid Maleki, Ghasem Hajianfar, et al.. (2023). Development of a patients’ satisfaction analysis system using machine learning and lexicon-based methods. BMC Health Services Research. 23(1). 280–280. 11 indexed citations

Oveisi, Mehrdad, Majid Maleki, Shahram Arsang‐Jang, et al.. (2023). Assessment of Machine Learning Approaches to Predict in-Hospital Mortality in Patients Underwent Prosthetic Heart Valve Replacement Surgery. Journal of Advances in Medical and Biomedical Research. 31(146). 210–220.

Hajianfar, Ghasem, Yousef Rezaei, Mehdi Amini, et al.. (2023). Comparison of Machine Learning Algorithms Using Manual/Automated Features on 12-Lead Signal Electrocardiogram Classification: A Large Cohort Study on Students Aged Between 6 to 18 Years Old. Cardiovascular Engineering and Technology. 14(6). 786–800. 1 indexed citations

10.

Hajianfar, Ghasem, Atlas Haddadi Avval, Seyyed Ali Hosseini, et al.. (2022). Machine Learning-based Overall Survival Prediction in GBM Patients Using MRI Radiomics. 1–3. 1 indexed citations

11.

Shiri, Isaac, Mehdi Amini, Mostafa Nazari, et al.. (2022). Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. Computers in Biology and Medicine. 142. 105230–105230. 61 indexed citations

12.

Mostafaei, Shayan, et al.. (2021). Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature. Computers in Biology and Medicine. 136. 104752–104752. 68 indexed citations

13.

Hajianfar, Ghasem, et al.. (2021). Dual Input Scintigraphy Image-based Fused Deep Neural Networks for Bone Abnormalities Detection and Differentiation. 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 1–3. 1 indexed citations

14.

Amini, Mehdi, Ghasem Hajianfar, Atlas Haddadi Avval, et al.. (2021). Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm. Clinical Oncology. 34(2). 114–127. 42 indexed citations

15.

Nazari, Mostafa, Isaac Shiri, Ghasem Hajianfar, et al.. (2020). Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning. La radiologia medica. 125(8). 754–762. 90 indexed citations

16.

Oghli, Mostafa Ghelich, Azin Alizadehasl, Isaac Shiri, et al.. (2019). A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography: MFP-Unet. arXiv (Cornell University). 107 indexed citations

17.

Shiri, Isaac, Pardis Ghafarian, Parham Geramifar, et al.. (2019). Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC). European Radiology. 29(12). 6867–6879. 74 indexed citations

18.

Shiri, Isaac, Kevin Leung, Pardis Ghafarian, et al.. (2019). HiResPET: high resolution PET image generation using deep convolution encoder decoder network. 60. 1368–1368. 6 indexed citations

19.

Oveisi, Mehrdad, James P. Delgrande, Fred Popowich, & Francis Jeffry Pelletier. (2015). Kernel contraction and base dependence: redundancy in the base resulting in different types of dependence. International Conference on Artificial Intelligence. 3134–3140. 1 indexed citations

20.

Oveisi, Mehrdad, James P. Delgrande, Francis Jeffry Pelletier, & Fred Popowich. (2014). Belief change and base dependence. Principles of Knowledge Representation and Reasoning. 151–159. 3 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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