Lazaros Iliadis

2.9k total citations
128 papers, 1.6k citations indexed

About

Lazaros Iliadis is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Computer Networks and Communications. According to data from OpenAlex, Lazaros Iliadis has authored 128 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 15 papers in Civil and Structural Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Lazaros Iliadis's work include Structural Health Monitoring Techniques (11 papers), Anomaly Detection Techniques and Applications (10 papers) and Infrastructure Maintenance and Monitoring (9 papers). Lazaros Iliadis is often cited by papers focused on Structural Health Monitoring Techniques (11 papers), Anomaly Detection Techniques and Applications (10 papers) and Infrastructure Maintenance and Monitoring (9 papers). Lazaros Iliadis collaborates with scholars based in Greece, United Kingdom and Cyprus. Lazaros Iliadis's co-authors include Konstantinos Demertzis, Ilias Maglogiannis, Stavros Avramidis, Ilias Bougoudis, Chrisina Jayne, Yannis Manolopoulos, Shawn D. Mansfield, Elias Pimenidis, Věra Kůrková and Barbara Hammer and has published in prestigious journals such as Sensors, Information Sciences and Sustainability.

In The Last Decade

Lazaros Iliadis

123 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lazaros Iliadis Greece 23 497 186 179 172 152 128 1.6k
S. Sumathi India 12 461 0.9× 148 0.8× 218 1.2× 87 0.5× 99 0.7× 69 1.8k
Birmohan Singh India 17 591 1.2× 134 0.7× 118 0.7× 69 0.4× 100 0.7× 62 1.9k
Lisbeth Rodríguez-Mazahua Mexico 13 521 1.0× 216 1.2× 247 1.4× 74 0.4× 80 0.5× 48 2.1k
Niels Landwehr Germany 19 651 1.3× 94 0.5× 235 1.3× 88 0.5× 201 1.3× 45 1.9k
Hany F. ElYamany Egypt 7 422 0.8× 155 0.8× 122 0.7× 203 1.2× 63 0.4× 15 1.1k
Dalwinder Singh India 10 420 0.8× 106 0.6× 87 0.5× 62 0.4× 94 0.6× 21 1.4k
Nachaat Mohamed India 14 654 1.3× 307 1.7× 181 1.0× 96 0.6× 136 0.9× 49 2.4k
Asdrúbal López‐Chau Mexico 12 639 1.3× 137 0.7× 176 1.0× 58 0.3× 102 0.7× 61 2.1k
Sumit Singh Chauhan India 3 596 1.2× 182 1.0× 127 0.7× 173 1.0× 217 1.4× 6 2.8k

Countries citing papers authored by Lazaros Iliadis

Since Specialization
Citations

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

Fields of papers citing papers by Lazaros Iliadis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lazaros Iliadis

This figure shows the co-authorship network connecting the top 25 collaborators of Lazaros Iliadis. A scholar is included among the top collaborators of Lazaros Iliadis 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 Lazaros Iliadis. Lazaros Iliadis 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.
Kalampokas, Τheofanis, Εleni Vrochidou, Lazaros Iliadis, et al.. (2025). Empowering Kiwifruit Cultivation with AI: Leaf Disease Recognition Using AgriVision-Kiwi Open Dataset. Electronics. 14(9). 1705–1705.
2.
3.
Demertzis, Konstantinos, et al.. (2023). Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences. Sustainability. 15(17). 12768–12768. 11 indexed citations
4.
Demertzis, Konstantinos, Panayotis Kikiras, Charalabos Skianis, et al.. (2023). Federated Auto-Meta-Ensemble Learning Framework for AI-Enabled Military Operations. Electronics. 12(2). 430–430. 3 indexed citations
5.
Maglogiannis, Ilias, et al.. (2023). Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. IFIP advances in information and communication technology. 7 indexed citations
6.
Iliadis, Lazaros, et al.. (2023). Machine Learning Algorithms for the Prediction of the Seismic Response of Rigid Rocking Blocks. Applied Sciences. 14(1). 341–341. 6 indexed citations
7.
Maglogiannis, Ilias, Lazaros Iliadis, John MacIntyre, & Manuel Domí­nguez. (2023). Artificial Intelligence Applications and Innovations. IFIP advances in information and communication technology. 7 indexed citations
8.
Iliadis, Lazaros & Elias Pimenidis. (2023). Technologies of the 4th industrial revolution with applications. Neural Computing and Applications. 35(29). 21331–21332. 1 indexed citations
9.
Kanavos, Andreas, et al.. (2021). Employing Fuzzy Logic to Analyze the Structure of Complex Biological and Epidemic Spreading Models. Mathematics. 9(9). 977–977. 13 indexed citations
10.
Kamps, Jaap, Giannis Tsakonas, Yannis Manolopoulos, Lazaros Iliadis, & Ioannis Karydis. (2017). Research and Advanced Technology for Digital Libraries : 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017 : proceedings. Lecture notes in computer science. 10450. 4 indexed citations
11.
Jayne, Chrisina & Lazaros Iliadis. (2016). Engineering Applications of Neural Networks: 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings. CERN Document Server (European Organization for Nuclear Research). 6 indexed citations
12.
Iliadis, Lazaros & Chrisina Jayne. (2015). Engineering Applications of Neural Networks: 16th International Conference, EANN 2015, Rhodes, Greece, September 25-28 2015.Proceedings. Springer eBooks. 4 indexed citations
13.
Iliadis, Lazaros, et al.. (2014). Artificial Intelligence Applications and Innovations: AIAI 2014 Workshops CoPA, MHDW, IIVC, and MT4BD, Rhodes, Greece, September 19-21, 2014. INRIA a CCSD electronic archive server. 4 indexed citations
14.
Iliadis, Lazaros, M. Papazoglou, & Klaus Pohl. (2014). Advanced Information Systems Engineering Workshops: CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014, Proceedings. Lecture notes in business information processing. 178. 1 indexed citations
15.
Samaras, Achilleas G., Lazaros Iliadis, & Theophanis V. Karambas. (2013). A Methodology for Harbour Layout Design based on Machine Learning. Proceedings of the IAHR World Congress. 40. 388–391. 1 indexed citations
16.
Iliadis, Lazaros, et al.. (2012). Combining Survival Analysis and Neural Networks to predict Life Expectancy. 9(1). 140–151. 1 indexed citations
17.
18.
Iliadis, Lazaros, et al.. (2009). Artificial Intelligence Applications and Innovations: Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations. Springer eBooks. 2 indexed citations
19.
Iliadis, Lazaros, et al.. (2007). An innovative risk evaluation system estimating its own fuzzy entropy. Mathematical and Computer Modelling. 46(1-2). 260–267. 7 indexed citations
20.
Avramidis, Stavros & Lazaros Iliadis. (2005). Predicting Wood Thermal Conductivity Using Artificial Neural Networks. Wood and Fiber Science. 37(4). 682–690. 44 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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