Ali Kamen

2.5k total citations
66 papers, 1.4k citations indexed

About

Ali Kamen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ali Kamen has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ali Kamen's work include Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (11 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). Ali Kamen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (11 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). Ali Kamen collaborates with scholars based in United States, Germany and Romania. Ali Kamen's co-authors include Dorin Comaniciu, Tommaso Mansi, Lucian Itu, Puneet Sharma, Bin Lou, Nassir Navab, Constantin Suciu, Parmeshwar Khurd, Saša Grbić and Mohamed E. Abazeed and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Ali Kamen

63 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Kamen United States	22	750	349	322	294	286	66	1.4k
Bob D. de Vos Netherlands	15	1.1k 1.5×	185 0.5×	435 1.4×	679 2.3×	318 1.1×	38	1.7k
June‐Goo Lee South Korea	22	1.4k 1.9×	471 1.3×	322 1.0×	670 2.3×	212 0.7×	66	2.3k
Yuan Xu China	22	999 1.3×	122 0.3×	257 0.8×	544 1.9×	217 0.8×	82	1.7k
Amir A. Amini United States	21	1.3k 1.7×	293 0.8×	1.3k 4.0×	468 1.6×	450 1.6×	128	2.6k
Eigil Samset Norway	25	628 0.8×	168 0.5×	314 1.0×	444 1.5×	605 2.1×	103	1.7k
Jelmer M. Wolterink Netherlands	20	1.7k 2.3×	337 1.0×	480 1.5×	1.1k 3.6×	393 1.4×	76	2.5k
Brandon D. Gallas United States	21	839 1.1×	517 1.5×	121 0.4×	385 1.3×	69 0.2×	83	1.7k
Djamal Boukerroui France	13	650 0.9×	140 0.4×	875 2.7×	296 1.0×	190 0.7×	30	1.5k
Jifke F. Veenland Netherlands	22	733 1.0×	418 1.2×	136 0.4×	342 1.2×	66 0.2×	51	1.4k
Cristian Lorenz Germany	18	421 0.6×	158 0.5×	472 1.5×	656 2.2×	145 0.5×	65	1.3k

Countries citing papers authored by Ali Kamen

Since Specialization

Citations

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

Fields of papers citing papers by Ali Kamen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Kamen

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

Chaganti, Shikha, et al.. (2025). Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers. Scientific Reports. 15(1). 12661–12661.

Busch, Heinrich von, Robert Grimm, Henkjan Huisman, et al.. (2024). Deep Learning–based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets. Radiology Artificial Intelligence. 6(5). e230521–e230521. 3 indexed citations

Yılmaz, Gülşen, Aliye Baştuğ, Raj P. Gopalan, et al.. (2024). Concordance and generalization of an AI algorithm with real-world clinical data in the pre-omicron and omicron era. Heliyon. 10(3). e25410–e25410. 2 indexed citations

Puiu, A., et al.. (2024). Prediction uncertainty estimates elucidate the limitation of current NSCLC subtype classification in representing mutational heterogeneity. Scientific Reports. 14(1). 6779–6779. 2 indexed citations

Tong, Angela, Paul Smereka, Abhinav Vij, et al.. (2023). Comparison of a Deep Learning‐Accelerated vs. Conventional T2 ‐Weighted Sequence in Biparametric MRI of the Prostate. Journal of Magnetic Resonance Imaging. 58(4). 1055–1064. 21 indexed citations

Teo, P. T., Amishi Bajaj, Bin Lou, et al.. (2022). Deterministic small‐scale undulations of image‐based risk predictions from the deep learning of lung tumors in motion. Medical Physics. 49(11). 7347–7356. 5 indexed citations

Reaungamornrat, S, Hasan Sari, Ciprian Catana, & Ali Kamen. (2022). Multimodal image synthesis based on disentanglement representations of anatomical and modality specific features, learned using uncooperative relativistic GAN. Medical Image Analysis. 80. 102514–102514. 17 indexed citations

Choi, Moon Hyung, Young Joon Lee, Robert Grimm, et al.. (2022). Prostate gland volume estimation: anteroposterior diameters measured on axial versus sagittal ultrasonography and magnetic resonance images. ULTRASONOGRAPHY. 42(1). 154–164. 5 indexed citations

Mansi, Tommaso, Hervé Delingette, Saikiran Rapaka, et al.. (2017). Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation. International Journal of Computer Assisted Radiology and Surgery. 12(9). 1543–1559. 11 indexed citations

10.

Mansi, Tommaso, Hervé Delingette, Saikiran Rapaka, et al.. (2015). Challenges to Validate Multi-physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

11.

Achenbach, Stephan, Jens Röther, Thomas Redel, et al.. (2015). Comparison of Fractional Flow Reserve Based on Computational Fluid Dynamics Modeling Using Coronary Angiographic Vessel Morphology Versus Invasively Measured Fractional Flow Reserve. The American Journal of Cardiology. 117(1). 29–35. 65 indexed citations

12.

Itu, Lucian, Puneet Sharma, Tiziano Passerini, et al.. (2014). A parameter estimation framework for patient-specific hemodynamic computations. Journal of Computational Physics. 281. 316–333. 19 indexed citations

13.

Zettinig, Oliver, Tommaso Mansi, Dominik Neumann, et al.. (2014). Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals. Medical Image Analysis. 18(8). 1361–1376. 36 indexed citations

14.

Mansi, Tommaso, Hervé Delingette, Saikiran Rapaka, et al.. (2013). Lattice Boltzmann Method for Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images. Lecture notes in computer science. 16(Pt 3). 323–330. 15 indexed citations

15.

Khurd, Parmeshwar, Leo Grady, Rafiou Oketokoun, et al.. (2012). Global error minimization in image mosaicing using graph connectivity and its applications in microscopy. Journal of Pathology Informatics. 2(2). 8–8. 7 indexed citations

16.

Itu, Lucian, Puneet Sharma, Viorel Mihalef, et al.. (2012). Non-Invasive Hemodynamic Assessment of Aortic Coarctation: Validation with In Vivo Measurements. Annals of Biomedical Engineering. 41(4). 669–681. 51 indexed citations

17.

Chekkoury, Andrei, Parmeshwar Khurd, Jie Ni, et al.. (2012). Automated malignancy detection in breast histopathological images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 831515–831515. 33 indexed citations

18.

Khurd, Parmeshwar, Claus Bahlmann, Ali Kamen, et al.. (2010). Computer-aided gleason grading of prostate cancer histopathological images using texton forests. PubMed. 14-17 April 2010. 636–639. 51 indexed citations

19.

Zikic, Darko, Ben Glocker, Oliver Kutter, et al.. (2010). Linear intensity-based image registration by Markov random fields and discrete optimization. Medical Image Analysis. 14(4). 550–562. 31 indexed citations

20.

Wein, Wolfgang, Oliver Kutter, André Aichert, et al.. (2010). Automatic non-linear mapping of pre-procedure CT volumes to 3D ultrasound. 1225–1228. 7 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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