Mirjam Jonkman

2.6k total citations · 1 hit paper
79 papers, 1.6k citations indexed

About

Mirjam Jonkman is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Mirjam Jonkman has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Cognitive Neuroscience. Recurrent topics in Mirjam Jonkman's work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and ECG Monitoring and Analysis (12 papers). Mirjam Jonkman is often cited by papers focused on AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and ECG Monitoring and Analysis (12 papers). Mirjam Jonkman collaborates with scholars based in Australia, Bangladesh and Canada. Mirjam Jonkman's co-authors include Sami Azam, Friso De Boer, Asif Karim, Pronab Ghosh, Mohamed Elgendi, Bharanidharan Shanmugam, Abhijith Reddy Beeravolu, Eva Ignatious, F. M. Javed Mehedi Shamrat and Sidratul Montaha and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Mirjam Jonkman

76 papers receiving 1.5k 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.

Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques

2021 322 citations Pronab Ghosh, Sami Azam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mirjam Jonkman Australia	23	542	325	321	303	249	79	1.6k
Friso De Boer Australia	20	464 0.9×	295 0.9×	359 1.1×	277 0.9×	243 1.0×	69	1.5k
Damodar Reddy Edla India	29	959 1.8×	285 0.9×	418 1.3×	211 0.7×	224 0.9×	166	2.8k
Venkatanareshbabu Kuppili India	21	657 1.2×	252 0.8×	346 1.1×	158 0.5×	118 0.5×	69	1.5k
Amjad Ali Pakistan	22	643 1.2×	374 1.2×	189 0.6×	221 0.7×	161 0.6×	90	2.3k
Giovanna Sannino Italy	19	573 1.1×	197 0.6×	128 0.4×	454 1.5×	332 1.3×	77	1.7k
Oana Geman Romania	20	360 0.7×	135 0.4×	188 0.6×	78 0.3×	285 1.1×	102	1.8k
Md. Kamrul Hasan Bangladesh	20	1.1k 2.0×	467 1.4×	298 0.9×	85 0.3×	144 0.6×	67	2.0k
Murat Karabatak Türkiye	13	702 1.3×	154 0.5×	304 0.9×	70 0.2×	123 0.5×	77	1.4k
Shoab Ahmed Khan Pakistan	23	364 0.7×	199 0.6×	978 3.0×	119 0.4×	154 0.6×	187	2.2k
Asif Karim Australia	24	910 1.7×	380 1.2×	536 1.7×	72 0.2×	115 0.5×	81	2.1k

Countries citing papers authored by Mirjam Jonkman

Since Specialization

Citations

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

Fields of papers citing papers by Mirjam Jonkman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirjam Jonkman

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

Azam, Sami, Asif Karim, Sidratul Montaha, et al.. (2025). ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis. SHILAP Revista de lepidopterología. 7. 100181–100181. 8 indexed citations

Karim, Asif, et al.. (2025). A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis. PubMed. 9(1). 1–40. 2 indexed citations

Fahad, Nur Mohammad, et al.. (2025). Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model. SHILAP Revista de lepidopterología. 9. 100174–100174.

Rahman, Md. Abdur, Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, et al.. (2025). Advancing skin cancer detection integrating a novel unsupervised classification and enhanced imaging techniques. CAAI Transactions on Intelligence Technology. 10(2). 474–493. 4 indexed citations

Mahmud, Abdullah Al, Sami Azam, Sidratul Montaha, et al.. (2024). SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time. Neural Computing and Applications. 36(30). 18935–18959. 8 indexed citations

Azam, Sami, et al.. (2024). Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network. Journal of Imaging Informatics in Medicine. 37(3). 1067–1085. 3 indexed citations

Azam, Sami, Mohaimenul Azam Khan Raiaan, Kaniz Fatema, et al.. (2024). Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set. Array. 23. 100362–100362. 1 indexed citations

Azam, Sami, et al.. (2023). Designing a Private and Secure Personal Health Records Access Management System: A Solution Based on IOTA Distributed Ledger Technology. Sensors. 23(11). 5174–5174. 14 indexed citations

Azam, Sami, et al.. (2023). Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model. Heliyon. 9(11). e21369–e21369. 21 indexed citations

10.

Hasib, Khan Md., Sami Azam, Asif Karim, et al.. (2023). A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali Language. PLoS ONE. 18(9). e0287818–e0287818. 7 indexed citations

11.

Fatema, Kaniz, Sami Azam, Md. Saddam Hossain Mukta, et al.. (2023). Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images. Heliyon. 9(11). e21703–e21703. 13 indexed citations

12.

Azam, Sami, Sidratul Montaha, A. K. M. Rakibul Haque Rafid, et al.. (2023). An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot Study. Biomedicines. 11(7). 1874–1874. 2 indexed citations

13.

Raiaan, Mohaimenul Azam Khan, et al.. (2023). A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time. Biomedicines. 11(6). 1566–1566. 22 indexed citations

14.

Azam, Sami, et al.. (2023). Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features. Journal of Cancer Research and Clinical Oncology. 149(20). 18039–18064. 8 indexed citations

15.

Montaha, Sidratul, et al.. (2022). A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity. PLoS ONE. 17(8). e0269826–e0269826. 25 indexed citations

16.

Ghosh, Pronab, Sami Azam, Asif Karim, et al.. (2022). SkinNet-16: A deep learning approach to identify benign and malignant skin lesions. Frontiers in Oncology. 12. 931141–931141. 37 indexed citations

17.

Elgendi, Mohamed, Mirjam Jonkman, & Friso De Boer. (2009). Measurement of a-a Intervals at Rest in the Second Derivative Plethysmogram. Preventive Medicine. 23(6). 76–79. 10 indexed citations

18.

Elgendi, Mohamed, Mirjam Jonkman, & Friso De Boer. (2009). Improved QRS Detection Algorithm using Dynamic Thresholds. International Journal of Hybrid Information Technology. 2(1). 65–80. 20 indexed citations

19.

Jonkman, Mirjam, et al.. (2006). Can students combine work and study? A survey of part-time work and perceptions of the study of undergraduate and postgraduate engineering students. CDU eSpace Institutional Repository (Charles Darwin University). 1 indexed citations

20.

Jonkman, Mirjam, et al.. (2006). Are we over-assessing our students? The students' view. CDU eSpace Institutional Repository (Charles Darwin University). 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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