Fahime Khozeimeh

2.8k total citations · 1 hit paper
29 papers, 1.8k citations indexed

About

Fahime Khozeimeh is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Fahime Khozeimeh has authored 29 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Artificial Intelligence. Recurrent topics in Fahime Khozeimeh's work include Artificial Intelligence in Healthcare (6 papers), COVID-19 diagnosis using AI (6 papers) and ECG Monitoring and Analysis (4 papers). Fahime Khozeimeh is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), COVID-19 diagnosis using AI (6 papers) and ECG Monitoring and Analysis (4 papers). Fahime Khozeimeh collaborates with scholars based in Iran, Australia and United States. Fahime Khozeimeh's co-authors include Roohallah Alizadehsani, Saeid Nahavandi, Abbas Khosravi, U. Rajendra Acharya, Mohamad Roshanzamir, Afshin Shoeibi, Maryam Panahiazar, Parisa Moridian, Sadiq Hussain and Zahra Alizadeh Sani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Fahime Khozeimeh

29 papers receiving 1.8k 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.

Epileptic Seizures Detection Using Deep Learning Techniques: A Review

2021 263 citations Afshin Shoeibi, Marjane Khodatars et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fahime Khozeimeh Iran	19	655	455	403	349	330	29	1.8k
Friso De Boer Australia	20	464 0.7×	359 0.8×	295 0.7×	147 0.4×	277 0.8×	69	1.5k
Shivajirao M. Jadhav India	15	474 0.7×	388 0.9×	155 0.4×	145 0.4×	242 0.7×	25	1.2k
Md Manjurul Ahsan United States	18	530 0.8×	317 0.7×	254 0.6×	141 0.4×	103 0.3×	45	1.8k
Mohammad Khubeb Siddiqui Australia	13	722 1.1×	760 1.7×	136 0.3×	347 1.0×	110 0.3×	43	1.8k
Liaqat Ali Pakistan	24	906 1.4×	246 0.5×	521 1.3×	86 0.2×	148 0.4×	60	2.2k
Melissa Berthelot United Kingdom	6	511 0.8×	346 0.8×	162 0.4×	98 0.3×	106 0.3×	11	1.3k
Maryam Panahiazar United States	14	347 0.5×	142 0.3×	174 0.4×	341 1.0×	166 0.5×	36	1.2k
Charence Wong United Kingdom	10	679 1.0×	341 0.7×	184 0.5×	145 0.4×	137 0.4×	20	2.1k
Md. Kamrul Hasan Bangladesh	20	1.1k 1.6×	298 0.7×	467 1.2×	152 0.4×	85 0.3×	67	2.0k
Francis M. Bui Canada	23	389 0.6×	271 0.6×	292 0.7×	98 0.3×	162 0.5×	131	2.0k

Countries citing papers authored by Fahime Khozeimeh

Since Specialization

Citations

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

Fields of papers citing papers by Fahime Khozeimeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahime Khozeimeh

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

Alizadehsani, Roohallah, Mohaddeseh Behjati, Zahra Alizadeh Sani, et al.. (2023). Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Operations Research Forum. 4(1). 4 indexed citations

Khozeimeh, Fahime, Roohallah Alizadehsani, Milad Shirani, et al.. (2023). ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Computers in Biology and Medicine. 158. 106841–106841. 7 indexed citations

Moravvej, Seyed Vahid, Roohallah Alizadehsani, Afshin Shoeibi, et al.. (2022). RLMD‐PA: A Reinforcement Learning‐Based Myocarditis Diagnosis Combined with a Population‐Based Algorithm for Pretraining Weights. Contrast Media & Molecular Imaging. 2022(1). 8733632–8733632. 55 indexed citations

Roshanzamir, Mohamad, Abdolreza Mirzaei, Afshin Shoeibi, et al.. (2022). Automatic facial expression recognition in an image sequence using conditional random field. 20. 271–278. 1 indexed citations

Khozeimeh, Fahime, Danial Sharifrazi, Navid Hoseini Izadi, et al.. (2022). RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance. Scientific Reports. 12(1). 11178–11178. 55 indexed citations

Kabir, H M Dipu, Fahime Khozeimeh, Abbas Khosravi, et al.. (2022). Aleatory-aware deep uncertainty quantification for transfer learning. Computers in Biology and Medicine. 143. 105246–105246. 16 indexed citations

Khozeimeh, Fahime, Mohamad Roshanzamir, Afshin Shoeibi, et al.. (2022). Importance of Wearable Health Monitoring Systems Using IoMT; Requirements, Advantages, Disadvantages and Challenges. 245–250. 2 indexed citations

Sadeghi, Delaram, Afshin Shoeibi, Navid Ghassemi, et al.. (2022). An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Computers in Biology and Medicine. 146. 105554–105554. 96 indexed citations

Shoeibi, Afshin, Marjane Khodatars, Mahboobeh Jafari, et al.. (2021). Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Computers in Biology and Medicine. 136. 104697–104697. 127 indexed citations

10.

Khozeimeh, Fahime, Danial Sharifrazi, Navid Hoseini Izadi, et al.. (2021). Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients. Scientific Reports. 11(1). 15343–15343. 85 indexed citations

11.

Sharifrazi, Danial, Roohallah Alizadehsani, Navid Hoseini Izadi, et al.. (2021). Hypertrophic Cardiomyopathy Diagnosis Based on Cardiovascular Magnetic Resonance Using Deep Learning Techniques. SSRN Electronic Journal. 3 indexed citations

12.

Alizadehsani, Roohallah, Abbas Khosravi, Mohamad Roshanzamir, et al.. (2020). Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020. Computers in Biology and Medicine. 128. 104095–104095. 77 indexed citations

13.

Alizadehsani, Roohallah, Zahra Alizadeh Sani, Sadiq Hussain, et al.. (2020). Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients. Journal of Medical Virology. 93(4). 2307–2320. 104 indexed citations

14.

Alizadehsani, Roohallah, Moloud Abdar, Mohamad Roshanzamir, et al.. (2019). Machine learning-based coronary artery disease diagnosis: A comprehensive review. Computers in Biology and Medicine. 111. 103346–103346. 177 indexed citations

15.

Alizadehsani, Roohallah, Mohamad Roshanzamir, Moloud Abdar, et al.. (2019). A database for using machine learning and data mining techniques for coronary artery disease diagnosis. Scientific Data. 6(1). 227–227. 66 indexed citations

16.

Alizadehsani, Roohallah, Mohammad Javad Hosseini, Abbas Khosravi, et al.. (2018). Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Computer Methods and Programs in Biomedicine. 162. 119–127. 89 indexed citations

17.

Khozeimeh, Fahime, Roohallah Alizadehsani, Mohamad Roshanzamir, et al.. (2017). An expert system for selecting wart treatment method. Computers in Biology and Medicine. 81. 167–175. 110 indexed citations

18.

Alizadehsani, Roohallah, Jafar Habibi, Hoda Mashayekhi, et al.. (2013). Diagnosing coronary artery disease via data mining algorithms by considering laboratory and echocardiography features. Research in Cardiovascular Medicine. 2(3). 133–133. 52 indexed citations

19.

Khozeimeh, Fahime, et al.. (2006). The Prevalence of Tongue Abnormalities Among the School Children in Borazjan, Iran. Dental Research Journal. 3(1). 24–28. 7 indexed citations

20.

Khozeimeh, Fahime, et al.. (2005). Oral Appearances in Patients with Diabetic Type I. SHILAP Revista de lepidopterología. 1 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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