Nikolaos Dimitriou

578 total citations
47 papers, 340 citations indexed

About

Nikolaos Dimitriou is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Nikolaos Dimitriou has authored 47 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 14 papers in Industrial and Manufacturing Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Nikolaos Dimitriou's work include Industrial Vision Systems and Defect Detection (13 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Vision and Imaging (7 papers). Nikolaos Dimitriou is often cited by papers focused on Industrial Vision Systems and Defect Detection (13 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Vision and Imaging (7 papers). Nikolaos Dimitriou collaborates with scholars based in Greece and Belgium. Nikolaos Dimitriou's co-authors include Dimitrios Tzovaras, Dimosthenis Ioannidis, Thanasis Vafeiadis, Anastasios Delopoulos, George Margetis, Tracy Wotherspoon, Elpiniki I. Papageorgiou, Konstantinos Votis, Konstantinos C. Apostolakis and Paschalis Charalampous and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Nikolaos Dimitriou

41 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolaos Dimitriou Greece 10 130 116 58 42 29 47 340
Yuanping Xu China 10 129 1.0× 75 0.6× 57 1.0× 13 0.3× 23 0.8× 60 296
Luís Romero Portugal 8 88 0.7× 102 0.9× 23 0.4× 24 0.6× 61 2.1× 26 320
Gorka Vélez Spain 10 68 0.5× 80 0.7× 17 0.3× 80 1.9× 16 0.6× 23 276
Fazal Qudus Khan Saudi Arabia 10 66 0.5× 61 0.5× 44 0.8× 37 0.9× 33 1.1× 30 334
José Luís Espinosa-Aranda Spain 11 108 0.8× 82 0.7× 107 1.8× 28 0.7× 22 0.8× 21 330
Andrzej Paszkiewicz Poland 11 89 0.7× 121 1.0× 54 0.9× 32 0.8× 9 0.3× 70 420
Vijay Srinivasan United States 14 70 0.5× 271 2.3× 24 0.4× 30 0.7× 33 1.1× 44 464
Mei Choo Ang Malaysia 11 78 0.6× 38 0.3× 45 0.8× 12 0.3× 18 0.6× 40 312

Countries citing papers authored by Nikolaos Dimitriou

Since Specialization
Citations

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

Fields of papers citing papers by Nikolaos Dimitriou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolaos Dimitriou

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolaos Dimitriou. A scholar is included among the top collaborators of Nikolaos Dimitriou 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 Nikolaos Dimitriou. Nikolaos Dimitriou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dimitriou, Nikolaos, et al.. (2025). Time-Series Forecasting in Industrial Environments: A Performance Study and a Novel Late Fusion Framework. IEEE Sensors Journal. 25(4). 7681–7697. 1 indexed citations
2.
Dimitriou, Nikolaos, et al.. (2025). Generative Models Training Based on FEM Simulations Toward Improved Defect Detection. IEEE Transactions on Instrumentation and Measurement. 74. 1–9.
3.
Apostolakis, Konstantinos C., et al.. (2024). A real-time wearable AR system for egocentric vision on the edge. Virtual Reality. 28(1). 1 indexed citations
4.
Dimitriou, Nikolaos, et al.. (2023). The DARLENE XR platform for intelligent surveillance applications. 321–328.
5.
Charalampous, Paschalis, et al.. (2023). Automatic elevator shaft inspection using a multi-sensor measuring system and computer vision techniques. Journal of Building Engineering. 82. 108358–108358. 5 indexed citations
6.
Charalampous, Paschalis, Nikolaos Dimitriou, George Margetis, et al.. (2023). A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency. Computers in Industry. 149. 103919–103919. 19 indexed citations
7.
Dimitriou, Nikolaos, et al.. (2023). Real-Time Activity Recognition for Surveillance Applications on Edge Devices. 293–299. 3 indexed citations
8.
Dimitriou, Nikolaos, et al.. (2023). AUTOMATED DEFECT DETECTION IN BATTERY LINE ASSEMBLY VIA DEEP LEARNING ANALYSIS. 1196–1208. 2 indexed citations
9.
Dimitriou, Nikolaos, et al.. (2023). ENHANCING DEFECT TRACEABILITY AND DATA INTEGRITY IN INDUSTRY 4.0 USING BLOCKCHAIN TECHNOLOGY. 1173–1184. 1 indexed citations
10.
Apostolakis, Konstantinos C., Nikolaos Dimitriou, George Margetis, et al.. (2022). DARLENE – Improving situational awareness of European law enforcement agents through a combination of augmented reality and artificial intelligence solutions. SHILAP Revista de lepidopterología. 1. 87–87. 10 indexed citations
11.
Dimitriou, Nikolaos, et al.. (2022). A Deep Regression Framework Toward Laboratory Accuracy in the Shop Floor of Microelectronics. IEEE Transactions on Industrial Informatics. 19(3). 2652–2661. 6 indexed citations
12.
Dimitriou, Nikolaos, et al.. (2021). An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning. IEEE Access. 9. 75336–75348. 7 indexed citations
13.
Papadopoulos, Stavros, Nikolaos Dimitriou, Anastasios Drosou, & Dimitrios Tzovaras. (2021). Modelling spatio-temporal ageing phenomena with deep Generative Adversarial Networks. Signal Processing Image Communication. 94. 116200–116200. 6 indexed citations
14.
Apostolakis, Konstantinos C., Nikolaos Dimitriou, George Margetis, et al.. (2021). DARLENE – Improving situational awareness of European law enforcement agents through a combination of augmented reality and artificial intelligence solutions. Open Research Europe. 1. 87–87. 7 indexed citations
15.
Dimitriou, Nikolaos, et al.. (2020). Real-Time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures. Sensors. 20(17). 4943–4943. 25 indexed citations
16.
Dimitriou, Nikolaos, et al.. (2020). An integrated system for automated 3D visualization and monitoring of vehicles. The International Journal of Advanced Manufacturing Technology. 111(5-6). 1797–1809. 4 indexed citations
17.
Dimitriou, Nikolaos, et al.. (2019). A Deep Learning framework for simulation and defect prediction applied in microelectronics. Simulation Modelling Practice and Theory. 100. 102063–102063. 33 indexed citations
18.
Dimitriou, Nikolaos & Anastasios Delopoulos. (2013). Motion segmentation via overlapping temporal windows. 4239–4243. 1 indexed citations
19.
Dimitriou, Nikolaos & Anastasios Delopoulos. (2012). Improved motion segmentation using Locally sampled Subspaces. 309–312. 6 indexed citations
20.
Dimitriou, Nikolaos, et al.. (1971). The design and development of a rockcutting machine for gold mining. Journal of the Southern African Institute of Mining and Metallurgy. 71(7). 135–147. 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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