Kosmas Dimitropoulos

4.4k total citations · 3 hit papers
102 papers, 2.5k citations indexed

About

Kosmas Dimitropoulos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Kosmas Dimitropoulos has authored 102 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Kosmas Dimitropoulos's work include Video Surveillance and Tracking Methods (17 papers), Fire Detection and Safety Systems (12 papers) and Human Pose and Action Recognition (11 papers). Kosmas Dimitropoulos is often cited by papers focused on Video Surveillance and Tracking Methods (17 papers), Fire Detection and Safety Systems (12 papers) and Human Pose and Action Recognition (11 papers). Kosmas Dimitropoulos collaborates with scholars based in Greece, United Kingdom and Germany. Kosmas Dimitropoulos's co-authors include Nikos Grammalidis, Panagiotis Barmpoutis, Petros Daras, Dimitrios Konstantinidis, Periklis Papaioannou, Ilias Papastratis, Osman Günay, Ahmet Enis Çetin, Steven Verstockt and Behçet Uğur Töreyın and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kosmas Dimitropoulos

98 papers receiving 2.4k 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.

A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing

2020 322 citations Panagiotis Barmpoutis, Kosmas Dimitropoulos et al. profile →
AI nutrition recommendation using a deep generative model and ChatGPT

2024 39 citations Ilias Papastratis, Dimitrios Konstantinidis et al. Scientific Reports profile →
Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review

2024 33 citations Kosmas Dimitropoulos et al. Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kosmas Dimitropoulos Greece	26	1.3k	859	418	367	305	102	2.5k
Nikos Grammalidis Greece	26	1.5k 1.2×	866 1.0×	120 0.3×	404 1.1×	249 0.8×	110	2.5k
Uğur Güdükbay Türkiye	20	1.2k 1.0×	608 0.7×	135 0.3×	83 0.2×	204 0.7×	118	1.9k
Antoni B. Chan Hong Kong	43	5.2k 4.1×	548 0.6×	259 0.6×	83 0.2×	2.7k 8.9×	163	6.8k
Xiangmin Xu China	33	3.2k 2.6×	282 0.3×	336 0.8×	147 0.4×	1.1k 3.7×	208	6.7k
Zhenyu He China	30	2.5k 2.0×	420 0.5×	146 0.3×	197 0.5×	588 1.9×	101	3.3k
Tanveer Hussain South Korea	32	1.4k 1.1×	283 0.3×	67 0.2×	86 0.2×	1.0k 3.4×	79	3.1k
Matthew N. Dailey Thailand	26	915 0.7×	123 0.1×	81 0.2×	102 0.3×	337 1.1×	110	2.5k
Sergio A. Velastín United Kingdom	34	4.2k 3.3×	422 0.5×	221 0.5×	83 0.2×	1.9k 6.1×	178	5.3k
Byoung Chul Ko South Korea	27	1.9k 1.5×	841 1.0×	159 0.4×	263 0.7×	376 1.2×	117	2.9k
Saad Albawi Iraq	8	727 0.6×	62 0.1×	94 0.2×	73 0.2×	753 2.5×	16	2.7k

Countries citing papers authored by Kosmas Dimitropoulos

Since Specialization

Citations

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

Fields of papers citing papers by Kosmas Dimitropoulos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosmas Dimitropoulos

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

Maraveas, Chrysanthos, et al.. (2025). Real-time freshness prediction for Apples and Lettuces using imaging recognition and advanced algorithms in a user-friendly mobile application. Smart Agricultural Technology. 12. 101129–101129. 2 indexed citations

Konstantinidis, Dimitrios, Theofilos Mastos, Andreas Kargakos, et al.. (2025). A Novel Autonomous Robotic Vehicle-Based System for Real-Time Production and Safety Control in Industrial Environments. Computers. 14(5). 188–188.

Rouskas, Konstantinos, Ioannis Pagkalos, Maria Hassapidou, et al.. (2025). The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications. Nutrients. 17(7). 1260–1260. 11 indexed citations

Dias, Sofia B., Beatriz da Costa Aguiar Alves, Olivier Rascol, et al.. (2025). AI-Driven Motor and Cognitive Decline Digital Assessment for Parkinson's Disease: A Systematic Review and Meta-Analysis. SSRN Electronic Journal. 1 indexed citations

Grammalidis, Nikos, et al.. (2025). PDualNet: a deep learning framework for joint prediction of Parkinson’s disease progression subtype and MDS-UPDRS scores. Scientific Reports. 15(1). 41931–41931. 1 indexed citations

Calderón-Pérez, Lorena, et al.. (2025). An AI-based nutrition recommendation system: technical validation with insights from Mediterranean cuisine. Frontiers in Nutrition. 12. 1546107–1546107. 3 indexed citations

Konstantinidis, Dimitrios, et al.. (2024). Can bite detection algorithms substitute manual video annotations in elderly people with and without Parkinson’s disease? An experimental study. 554–561. 1 indexed citations

Dias, Sofia B., Beatriz da Costa Aguiar Alves, Sevasti Bostantjopoulou, et al.. (2024). Assessing motor skills in Parkinson's Disease using smartphone-based video analysis and machine learning. 562–568.

Dimitropoulos, Kosmas, et al.. (2024). Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review. Informatics. 11(3). 62–62. 33 indexed citations breakdown →

10.

Konstantinidis, Dimitrios, et al.. (2024). ChatGPT in Nutrition: Trends Challenges and Future Directions. 548–553. 5 indexed citations

11.

Papastratis, Ilias, Dimitrios Konstantinidis, Petros Daras, & Kosmas Dimitropoulos. (2024). AI nutrition recommendation using a deep generative model and ChatGPT. Scientific Reports. 14(1). 14620–14620. 39 indexed citations breakdown →

12.

Papastratis, Ilias, et al.. (2023). Can ChatGPT provide appropriate meal plans for NCD patients?. Nutrition. 121. 112291–112291. 23 indexed citations

13.

Kabisch, Stefan, Kathryn Hart, Kosmas Dimitropoulos, et al.. (2023). Personalized Nutrition for Healthy Living (PROTEIN-Study): Evaluation of a Mobile Application in Subjects with Type 2 Diabetes and Prediabetes. Diabetologie und Stoffwechsel. 18(S 01). S65–S65. 2 indexed citations

14.

Solachidis, V., et al.. (2023). A Grape Dataset for Instance Segmentation and Maturity Estimation. Agronomy. 13(8). 1995–1995. 10 indexed citations

15.

Konstantinidis, Dimitrios, et al.. (2023). Federated Learning Aggregation based on Weight Distribution Analysis. Zenodo (CERN European Organization for Nuclear Research). 119. 1–6. 1 indexed citations

16.

Konstantinidis, Dimitrios, et al.. (2021). Recurrent neural network pruning using dynamical systems and iterative fine-tuning. Neural Networks. 143. 475–488. 17 indexed citations

17.

Dimitropoulos, Kosmas, et al.. (2017). Grading of invasive breast carcinoma through Grassmannian VLAD encoding. PLoS ONE. 12(9). e0185110–e0185110. 77 indexed citations

18.

Dagnino, Francesca Maria, Michela Ott, Francesca Pozzi, et al.. (2015). SERIOUS GAMES TO SUPPORT LEARNING OF RARE ‘INTANGIBLE’ CULTURAL EXPRESSIONS. INTED2015 Proceedings. 7184–7194. 7 indexed citations

19.

Dimitropoulos, Kosmas, et al.. (2009). Video and Signal Based Surveillance for Airport Applications. 1. 170–175. 7 indexed citations

20.

Dimitropoulos, Kosmas, et al.. (2008). Intelligent traffic monitoring and surveillance with multiple cameras. 125–132. 16 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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