Foad Kazemi

618 total citations · 1 hit paper
9 papers, 451 citations indexed

About

Foad Kazemi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Foad Kazemi has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Foad Kazemi's work include Bone Tumor Diagnosis and Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Shoulder and Clavicle Injuries (1 paper). Foad Kazemi is often cited by papers focused on Bone Tumor Diagnosis and Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Shoulder and Clavicle Injuries (1 paper). Foad Kazemi collaborates with scholars based in Iran, Canada and United States. Foad Kazemi's co-authors include Moosa Ayati, Abbas Tafakhori, Nicholas R. Rowan, Morteza Taheri, Carlos Aguilera, Elliott R. Haut, R. W. Mayne, Linda Tang, Kristin J. Redmond and Alfonso Fasano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and Journal of Neuro-Oncology.

In The Last Decade

Foad Kazemi

8 papers receiving 425 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms

2018 439 citations Moosa Ayati, Foad Kazemi et al. Journal of Applied Biomedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Foad Kazemi Iran	3	399	311	173	109	27	9	451
Hossam H. Sultan United Kingdom	3	440 1.1×	340 1.1×	208 1.2×	119 1.1×	32 1.2×	6	500
Wadhah Ayadi Tunisia	6	349 0.9×	280 0.9×	175 1.0×	81 0.7×	28 1.0×	10	406
Geethu Mohan India	4	246 0.6×	219 0.7×	119 0.7×	92 0.8×	33 1.2×	8	327
Bala Venkateswarlu Isunuri India	8	270 0.7×	268 0.9×	145 0.8×	107 1.0×	33 1.2×	16	407
Shuangliang Cao China	6	482 1.2×	435 1.4×	264 1.5×	177 1.6×	55 2.0×	11	639
Rachida Saouli Algeria	5	235 0.6×	232 0.7×	85 0.5×	107 1.0×	38 1.4×	13	343
Nelly Gordillo Mexico	5	364 0.9×	360 1.2×	85 0.5×	124 1.1×	43 1.6×	12	511
Mostefa Ben Naceur Algeria	3	231 0.6×	223 0.7×	78 0.5×	91 0.8×	35 1.3×	3	311
Syed M. S. Reza United States	9	302 0.8×	264 0.8×	120 0.7×	124 1.1×	32 1.2×	18	423

Countries citing papers authored by Foad Kazemi

Since Specialization

Citations

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

Fields of papers citing papers by Foad Kazemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Foad Kazemi

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Liu, Jiaqi, Tej D. Azad, Foad Kazemi, et al.. (2025). Timing of pharmacological venous thromboembolism prophylaxis after firearm-related penetrating brain injury. Journal of neurosurgery. 143(2). 450–460. 1 indexed citations

2.

Tang, Linda, R. W. Mayne, A. Karim Ahmed, et al.. (2025). The skull base chordoma patient reported outcome survey (sbCPROS): a patient-centered, disease-specific tool for assessing quality of life in chordoma patients. Journal of Neuro-Oncology. 173(1). 157–166. 1 indexed citations

3.

Mohseni, Alireza, et al.. (2024). Artificial Intelligence in Radiology. Radiologic Clinics of North America. 62(6). 935–947. 3 indexed citations

4.

Gendreau, Julian, Foad Kazemi, Cathleen C. Kuo, et al.. (2024). Fractionated radiotherapy after gross-total resection of spinal chordoma: a systematic review of survival outcomes using individualized patient data. Journal of Neurosurgery Spine. 41(3). 428–435. 2 indexed citations

5.

Kazemi, Foad, et al.. (2021). The effect of fractionated gamma knife radiosurgery on visual acuity in patients with optic nerve tumor. Reports of Practical Oncology & Radiotherapy. 26(6). 915–919. 1 indexed citations

6.

Kazemi, Foad, et al.. (2020). Spinal Cord Tethering, a Very Rare Cause of Cauda Equina Syndrome after Lumbar Disk Surgery: A Case Report. SHILAP Revista de lepidopterología. 121(1). 49–54.

7.

Kazemi, Foad, Seyed Amir Hassan Habibi, Abbas Tafakhori, et al.. (2019). Tongue Protrusion Dystonia in Pantothenate Kinase-Associated Neurodegeneration. Pediatric Neurology. 103. 76–78. 3 indexed citations

8.

Huec, Jean‐Charles Le, et al.. (2019). Hangman’s Fracture with Concomitant Atlantoaxial Dislocation. SHILAP Revista de lepidopterología. 37–42. 1 indexed citations

9.

Ayati, Moosa, et al.. (2018). Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms. Journal of Applied Biomedicine. 39(1). 63–74. 439 indexed citations breakdown →

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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