Nikos Dimitropoulos

1.3k total citations
43 papers, 889 citations indexed

About

Nikos Dimitropoulos is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nikos Dimitropoulos has authored 43 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nikos Dimitropoulos's work include AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Medical Image Segmentation Techniques (6 papers). Nikos Dimitropoulos is often cited by papers focused on AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Medical Image Segmentation Techniques (6 papers). Nikos Dimitropoulos collaborates with scholars based in Greece, United States and United Kingdom. Nikos Dimitropoulos's co-authors include D. Cavouras, Michael Mavroforakis, Harris Georgiou, Sergios Theodoridis, Dimitris Maroulis, Dimitris K. Iakovidis, Michalis A. Savelonas, Stavros Tsantis, Haris Doukas and Vangelis Marinakis and has published in prestigious journals such as Scientific Reports, BioMed Research International and CIRP Annals.

In The Last Decade

Nikos Dimitropoulos

39 papers receiving 830 citations

Peers

Countries citing papers authored by Nikos Dimitropoulos

Since Specialization

Citations

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

Fields of papers citing papers by Nikos Dimitropoulos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikos Dimitropoulos

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

#	Work	Indexed citations
1	Generative AI for automated task modelling and task allocation in human robot collaborative applications 2025 ·CIRP Annals ·Nikos Dimitropoulos, (unknown), (unknown), George Michalos	1
2	Holistic framework for household energy management services 2025 ·(unknown), Alexios Lekidis, (unknown), Nikos Dimitropoulos, (unknown), Vangelis Marinakis	0
3	Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging 2024 ·Journal of Manufacturing Systems ·(unknown), Nikos Dimitropoulos, (unknown), George Michalos, Sotiris Makris	11
4	Generative AI and neural networks towards advanced robot cognition 2024 ·CIRP Annals ·(unknown), Nikos Dimitropoulos, George Michalos	6
5	"TWINP2G: A DIGITAL TWIN ARCHITECTURE FOR OPTIMAL POWER-TO-GAS PLANNING" 2023 ·(unknown), Elissaios Sarmas, Anna Georgiadou, (unknown), (unknown), Nikos Dimitropoulos, (unknown)	1
6	Collision detection for collaborative assembly operations on high-payload robots 2023 ·Robotics and Computer-Integrated Manufacturing ·(unknown), Kevin Haninger, (unknown), Nikos Dimitropoulos, Jörg Krüger, George Michalos, Sotiris Makris	16
7	Transfer learning strategies for solar power forecasting under data scarcity 2022 ·Scientific Reports ·Elissaios Sarmas, Nikos Dimitropoulos, Vangelis Marinakis, Zoi Mylona, Haris Doukas	80
8	AI-enhanced cooperating robots for reconfigurable manufacturing of large parts 2021 ·IFAC-PapersOnLine ·Zoi Arkouli, (unknown), George Michalos, Nikos Dimitropoulos, Sotiris Makris	19
9	Multimodality GPU-based computer-assisted diagnosis of breast cancer using ultrasound and digital mammography images 2013 ·International Journal of Computer Assisted Radiology and Surgery ·Konstantinos Sidiropoulos, Spiros Kostopoulos, Dimitris Glotsos, Emmanouil Athanasiadis, Nikos Dimitropoulos, John Stonham, D. Cavouras	17
10	A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry 2011 ·Computer Methods and Programs in Biomedicine ·(unknown), Michael Mavroforakis, Harris Georgiou, Nikos Dimitropoulos, Sergios Theodoridis	94
11	Morphological and wavelet features towards sonographic thyroid nodules evaluation 2008 ·Computerized Medical Imaging and Graphics ·Stavros Tsantis, Nikos Dimitropoulos, D. Cavouras, George Nikiforidis	54
12	Variable Background Active Contour Model for Computer-Aided Delineation of Nodules in Thyroid Ultrasound Images 2007 ·IEEE Transactions on Information Technology in Biomedicine ·Dimitris Maroulis, Michalis A. Savelonas, Dimitris K. Iakovidis, (unknown), Nikos Dimitropoulos	71
13	Inter-scale wavelet analysis for speckle reduction in thyroid ultrasound images 2007 ·Computerized Medical Imaging and Graphics ·Stavros Tsantis, Nikos Dimitropoulos, (unknown), D. Cavouras, Georgios Nikiforidis	15
14	Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes 2007 ·Artificial Intelligence in Medicine ·Harris Georgiou, Michael Mavroforakis, Nikos Dimitropoulos, Dionisis Cavouras, Sergios Theodoridis	37
15	Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers 2006 ·Artificial Intelligence in Medicine ·Michael Mavroforakis, Harris Georgiou, Nikos Dimitropoulos, D. Cavouras, Sergios Theodoridis	88
16	A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images 2006 ·Computer Methods and Programs in Biomedicine ·Stavros Tsantis, Nikos Dimitropoulos, D. Cavouras, George Nikiforidis	37
17	Development of a support vector machine-based image analysis system for assessing the thyroid nodule malignancy risk on ultrasound 2005 ·Ultrasound in Medicine & Biology ·Stavros Tsantis, D. Cavouras, Ioannis Kalatzis, (unknown), Nikos Dimitropoulos, George Nikiforidis	37
18	Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines 2005 ·European Journal of Radiology ·Michael Mavroforakis, Harris Georgiou, Nikos Dimitropoulos, D. Cavouras, Sergios Theodoridis	28
19	Development of the cubic least squares mapping linear-kernel support vector machine classifier for improving the characterization of breast lesions on ultrasound 2004 ·Computerized Medical Imaging and Graphics ·(unknown), Ioannis Kalatzis, Nikos Dimitropoulos, D. Cavouras	27
20	Mammographic mass classification using textural features and descriptive diagnostic data 2003 ·Michael Mavroforakis, Harris Georgiou, D. Cavouras, Nikos Dimitropoulos, Sergios Theodoridis	10

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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