Fahime Khozeimeh

2.8k citations

29 papers · 1.8k indexed · 1 hit paper · h-index 19

Artificial Intelligence top 2%
Radiology, Nuclear Medicine and Imaging top 5%
Health Information Management top 0.2%
Cognitive Neuroscience top 5%
Cardiology and Cardiovascular Medicine top 5%

Co-authors: Roohallah Alizadehsani Saeid Nahavandi Abbas Khosravi U. Rajendra Acharya Mohamad Roshanzamir Afshin Shoeibi Maryam Panahiazar Parisa Moridian
Topics: Artificial Intelligence in Healthcare (6 papers)COVID-19 diagnosis using AI (6 papers)ECG Monitoring and Analysis (4 papers)
Cited by: Health Information Management Health Informatics Artificial Intelligence
Journals: SHILAP Revista de lepidopterologíaScientific Reports International Journal of Environmental Research and Public Health
Partner nations: Iran Australia United States

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

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

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

20 of 20 papers shown

#	Work	Indexed citations
1	Identification of Clinical Features Associated with Mortality in COVID-19 Patients 2023 ·Operations Research Forum ·(unknown),Roohallah Alizadehsani,Mohaddeseh Behjati,(unknown),Zahra Alizadeh Sani,(unknown),(unknown),Mohamad Roshanzamir,Afshin Shoeibi,Sadiq Hussain,Fahime Khozeimeh,(unknown),Javad Hassannataj Joloudari,(unknown),Abbas Khosravi,Saeid Nahavandi,Sheikh Mohammed Shariful Islam	4
2	ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease 2023 ·Computers in Biology and Medicine ·Fahime Khozeimeh,Roohallah Alizadehsani,Milad Shirani,(unknown),Afshin Shoeibi,Hamid Alinejad‐Rokny,(unknown),(unknown),Abbas Khosravi,Saeid Nahavandi,Ru‐San Tan,U. Rajendra Acharya	7
3	RLMD‐PA: A Reinforcement Learning‐Based Myocarditis Diagnosis Combined with a Population‐Based Algorithm for Pretraining Weights 2022 ·Contrast Media & Molecular Imaging ·Seyed Vahid Moravvej,Roohallah Alizadehsani,(unknown),(unknown),Afshin Shoeibi,Fahime Khozeimeh,Zahra Alizadeh Sani,Ru‐San Tan,Abbas Khosravi,Saeid Nahavandi,Nahrizul Adib Kadri,Muhammad Mokhzaini Azizan,N. Arunkumar,U. Rajendra Acharya	55
4	Automatic facial expression recognition in an image sequence using conditional random field 2022 ·Mohamad Roshanzamir,(unknown),Abdolreza Mirzaei,(unknown),Afshin Shoeibi,Roohallah Alizadehsani,Fahime Khozeimeh,Abbas Khosravi	1
5	RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance 2022 ·Scientific Reports ·Fahime Khozeimeh,Danial Sharifrazi,Navid Hoseini Izadi,Javad Hassannataj Joloudari,Afshin Shoeibi,Roohallah Alizadehsani,(unknown),Sadiq Hussain,Zahra Alizadeh Sani,Marjane Khodatars,Delaram Sadeghi,Abbas Khosravi,Saeid Nahavandi,Ru‐San Tan,U. Rajendra Acharya,Sheikh Mohammed Shariful Islam	55
6	Aleatory-aware deep uncertainty quantification for transfer learning 2022 ·Computers in Biology and Medicine ·H M Dipu Kabir,(unknown),Fahime Khozeimeh,Abbas Khosravi,Subrota Kumar Mondal,Saeid Nahavandi,U. Rajendra Acharya	16
7	Importance of Wearable Health Monitoring Systems Using IoMT; Requirements, Advantages, Disadvantages and Challenges 2022 ·Fahime Khozeimeh,Mohamad Roshanzamir,Afshin Shoeibi,(unknown),Roohallah Alizadehsani,Hamid Alinejad‐Rokny,(unknown),Abbas Khosravi,Saeid Nahavandi	2
8	An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works 2022 ·Computers in Biology and Medicine ·Delaram Sadeghi,Afshin Shoeibi,Navid Ghassemi,Parisa Moridian,Ali Khadem,Roohallah Alizadehsani,Mohammad Teshnehlab,J. M. Górriz,Fahime Khozeimeh,Yudong Zhang,Saeid Nahavandi,U. Rajendra Acharya	96
9	Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review 2021 ·Computers in Biology and Medicine ·Afshin Shoeibi,Marjane Khodatars,Mahboobeh Jafari,Parisa Moridian,(unknown),Roohallah Alizadehsani,Fahime Khozeimeh,J. M. Górriz,Jónathan Heras,Maryam Panahiazar,Saeid Nahavandi,U. Rajendra Acharya	127
10	Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients 2021 ·Scientific Reports ·Fahime Khozeimeh,Danial Sharifrazi,Navid Hoseini Izadi,Javad Hassannataj Joloudari,Afshin Shoeibi,Roohallah Alizadehsani,J. M. Górriz,Sadiq Hussain,Zahra Alizadeh Sani,Hossein Moosaei,Abbas Khosravi,Saeid Nahavandi,Sheikh Mohammed Shariful Islam	85
11	Hypertrophic Cardiomyopathy Diagnosis Based on Cardiovascular Magnetic Resonance Using Deep Learning Techniques 2021 ·SSRN Electronic Journal ·Danial Sharifrazi,Roohallah Alizadehsani,Navid Hoseini Izadi,Mohamad Roshanzamir,Afshin Shoeibi,Fahime Khozeimeh,(unknown),Zahra Alizadeh Sani,(unknown),(unknown),Saeid Nahavandi,Nizal Sarrafzadegan,Sheikh Mohammed Shariful Islam	3
12	Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020 2020 ·Computers in Biology and Medicine ·Roohallah Alizadehsani,Abbas Khosravi,Mohamad Roshanzamir,Moloud Abdar,Nizal Sarrafzadegan,Davood Shafie,Fahime Khozeimeh,Afshin Shoeibi,Saeid Nahavandi,Maryam Panahiazar,Andrew Bishara,Ramin E. Beygui,Rishi Puri,Samir Kapadia,Ru‐San Tan,U. Rajendra Acharya	77
13	Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients 2020 ·Journal of Medical Virology ·Roohallah Alizadehsani,Zahra Alizadeh Sani,(unknown),(unknown),Sadiq Hussain,(unknown),Fereshteh Hasanzadeh,Abbas Khosravi,Afshin Shoeibi,Mohamad Roshanzamir,Pardis Moradnejad,Saeid Nahavandi,Fahime Khozeimeh,Assef Zare,Maryam Panahiazar,U. Rajendra Acharya,Sheikh Mohammed Shariful Islam	104
14	Machine learning-based coronary artery disease diagnosis: A comprehensive review 2019 ·Computers in Biology and Medicine ·Roohallah Alizadehsani,Moloud Abdar,Mohamad Roshanzamir,Abbas Khosravi,Parham M. Kebria,Fahime Khozeimeh,Saeid Nahavandi,Nizal Sarrafzadegan,U. Rajendra Acharya	177
15	A database for using machine learning and data mining techniques for coronary artery disease diagnosis 2019 ·Scientific Data ·Roohallah Alizadehsani,Mohamad Roshanzamir,Moloud Abdar,Adham Beykikhoshk,Abbas Khosravi,Maryam Panahiazar,(unknown),Fahime Khozeimeh,Saeid Nahavandi,Nizal Sarrafzadegan	66
16	Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries 2018 ·Computer Methods and Programs in Biomedicine ·Roohallah Alizadehsani,Mohammad Javad Hosseini,Abbas Khosravi,Fahime Khozeimeh,Mohamad Roshanzamir,Nizal Sarrafzadegan,Saeid Nahavandi	89
17	An expert system for selecting wart treatment method 2017 ·Computers in Biology and Medicine ·Fahime Khozeimeh,Roohallah Alizadehsani,Mohamad Roshanzamir,Abbas Khosravi,Pouran Layegh,Saeid Nahavandi	110
18	Diagnosing coronary artery disease via data mining algorithms by considering laboratory and echocardiography features 2013 ·Research in Cardiovascular Medicine ·(unknown),Roohallah Alizadehsani,Jafar Habibi,Hoda Mashayekhi,Reihane Boghrati,Asma Ghandeharioun,Fahime Khozeimeh,(unknown)	52
19	The Prevalence of Tongue Abnormalities Among the School Children in Borazjan, Iran 2006 ·Dental Research Journal ·Fahime Khozeimeh,(unknown)	7
20	Oral Appearances in Patients with Diabetic Type I 2005 ·SHILAP Revista de lepidopterología ·Fahime Khozeimeh,(unknown)	1

About Fahime Khozeimeh

Fahime Khozeimeh is a scholar working on Health Informatics, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), COVID-19 diagnosis using AI (6 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Health Information Management (403 citations), Health Informatics (71 citations) and Artificial Intelligence (655 citations). Fahime Khozeimeh has collaborated with scholars based in Iran, Australia and United States. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

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