Yaman Afadar

420 total citations · 1 hit paper
9 papers, 254 citations indexed

About

Yaman Afadar is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Yaman Afadar has authored 9 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Yaman Afadar's work include ECG Monitoring and Analysis (3 papers), COVID-19 diagnosis using AI (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Yaman Afadar is often cited by papers focused on ECG Monitoring and Analysis (3 papers), COVID-19 diagnosis using AI (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Yaman Afadar collaborates with scholars based in United Arab Emirates, Palestinian Territory and Portugal. Yaman Afadar's co-authors include Ali Bou Nassif, Qassim Nasir, Manar Abu Talib, Ashraf Elnagar, Sohaib Majzoub, Mohammad Azzeh, Nabil Mansour and Mohammad Adel Moufti and has published in prestigious journals such as Neural Computing and Applications, Artificial Intelligence in Medicine and BMC Medical Informatics and Decision Making.

In The Last Decade

Yaman Afadar

8 papers receiving 238 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.

Breast cancer detection using artificial intelligence techniques: A systematic literature review

2022 187 citations Ali Bou Nassif, Manar Abu Talib et al. Artificial Intelligence in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaman Afadar United Arab Emirates	5	163	89	46	46	41	9	254
Shahid Mehmood Pakistan	8	186 1.1×	143 1.6×	20 0.4×	9 0.2×	34 0.8×	12	316
Alexander Ziller Germany	5	297 1.8×	106 1.2×	9 0.2×	35 0.8×	35 0.9×	8	420
Qanita Bani Baker Jordan	8	82 0.5×	57 0.6×	19 0.4×	22 0.5×	20 0.5×	34	209
Hongfei Lin China	6	177 1.1×	58 0.7×	19 0.4×	11 0.2×	26 0.6×	8	280
Yazan Al-Issa Jordan	7	130 0.8×	85 1.0×	7 0.2×	10 0.2×	72 1.8×	13	301
Asma Baccouche United States	7	216 1.3×	169 1.9×	15 0.3×	7 0.2×	33 0.8×	7	340
Lucia Cavallaro Italy	5	126 0.8×	91 1.0×	18 0.4×	44 1.0×	16 0.4×	9	230
Shahid Munir Shah Pakistan	6	157 1.0×	84 0.9×	24 0.5×	4 0.1×	18 0.4×	14	224
Mert Yüksekgönül United States	3	255 1.6×	126 1.4×	49 1.1×	7 0.2×	15 0.4×	6	469
Hanan S. Alghamdi Saudi Arabia	10	113 0.7×	134 1.5×	5 0.1×	25 0.5×	29 0.7×	24	287

Countries citing papers authored by Yaman Afadar

Since Specialization

Citations

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

Fields of papers citing papers by Yaman Afadar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaman Afadar

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

Talib, Manar Abu, et al.. (2025). Detecting stress parameters in dromedary camels using computer vision. Ecological Informatics. 90. 103292–103292.

2.

Talib, Manar Abu, et al.. (2024). Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction. Neural Computing and Applications. 36(27). 16911–16940. 2 indexed citations

3.

Talib, Manar Abu, et al.. (2024). A tree-based explainable AI model for early detection of Covid-19 using physiological data. BMC Medical Informatics and Decision Making. 24(1). 179–179. 3 indexed citations

4.

Talib, Manar Abu, et al.. (2024). Transfer Learning-Based Classifier to Automate the Extraction of False X-Ray Images From Hospital's Database. International Dental Journal. 74(6). 1471–1482. 2 indexed citations

5.

Talib, Manar Abu, et al.. (2023). Wearable Devices and Explainable Unsupervised Learning for COVID-19 Detection and Monitoring. Diagnostics. 13(19). 3071–3071. 5 indexed citations

6.

Nassif, Ali Bou, et al.. (2022). Arabic fake news detection based on deep contextualized embedding models. Neural Computing and Applications. 34(18). 16019–16032. 47 indexed citations

7.

Nassif, Ali Bou, et al.. (2022). Breast cancer detection using artificial intelligence techniques: A systematic literature review. Artificial Intelligence in Medicine. 127. 102276–102276. 187 indexed citations breakdown →

8.

Afadar, Yaman, et al.. (2020). Heart Arrhythmia Detection & Monitoring Using Machine Learning & ECG Wearable Device. 4 indexed citations

9.

Afadar, Yaman, et al.. (2020). Heart Arrhythmia Abnormality Classification Using Machine Learning. 1–5. 4 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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