Iraklis Varlamis

4.7k total citations · 1 hit paper
174 papers, 2.6k citations indexed

About

Iraklis Varlamis is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Iraklis Varlamis has authored 174 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 50 papers in Information Systems and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Iraklis Varlamis's work include Recommender Systems and Techniques (17 papers), Smart Grid Energy Management (17 papers) and Complex Network Analysis Techniques (17 papers). Iraklis Varlamis is often cited by papers focused on Recommender Systems and Techniques (17 papers), Smart Grid Energy Management (17 papers) and Complex Network Analysis Techniques (17 papers). Iraklis Varlamis collaborates with scholars based in Greece, United States and Qatar. Iraklis Varlamis's co-authors include Jamal Abdul Nasir, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos, Konstantinos Tserpes, Fayçal Bensaali, Yassine Himeur, Abbes Amira, George Tsatsaronis and Abdullah Alsalemi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Iraklis Varlamis

160 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.

Fake news detection: A hybrid CNN-RNN based deep learning approach

2021 364 citations Iraklis Varlamis et al. profile →

Peers

Iraklis Varlamis

IS

AI

SPS

CVPR

CNC

Yong Ge United States

Mabrook Al‐Rakhami Saudi Arabia

Yunchuan Sun China

Mu‐Yen Chen Taiwan

Jyoti Prakash Singh India

Yu Zheng China

Ling Chen China

Diego Reforgiato Recupero Italy

Yanjie Fu United States

Scott Sanner Canada

Yong Ge United States

Iraklis Varlamis

1.4k ×1.4

IS

1.1k ×1.1

AI

213 ×0.5

SPS

423 ×1.4

CVPR

375 ×1.3

CNC

Citations per year, relative to Iraklis Varlamis Iraklis Varlamis (= 1×) peers Yong Ge

Countries citing papers authored by Iraklis Varlamis

Since Specialization

Citations

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

Fields of papers citing papers by Iraklis Varlamis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iraklis Varlamis

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

1.

Sayed, Aya Nabil, Yassine Himeur, Iraklis Varlamis, & Fayçal Bensaali. (2025). Continual learning for energy management systems: A review of methods and applications, and a case study. Applied Energy. 384. 125458–125458. 4 indexed citations

2.

Varlamis, Iraklis, et al.. (2025). Survey on Hand Gesture Recognition From Visual Input. IEEE Access. 13. 135373–135406. 4 indexed citations

3.

Chronis, Christos, et al.. (2024). A Survey on the Use of Large Language Models (LLMs) in Fake News. Future Internet. 16(8). 298–298. 21 indexed citations

4.

Himeur, Yassine, Nour Aburaed, Omar Elharrouss, et al.. (2024). Applications of knowledge distillation in remote sensing: A survey. Information Fusion. 115. 102742–102742. 6 indexed citations

5.

Varlamis, Iraklis, et al.. (2024). Multi-robot maze exploration using an efficient cost-utility method. 1–11.

6.

Georgiadis, Dimitrios, Elena Politi, George Dimitrakopoulos, & Iraklis Varlamis. (2024). Multi-criteria Knowledge-based decision-making functionality for swarm of drones. 1–7.

7.

Varlamis, Iraklis, et al.. (2024). Distributed Maze Exploration Using Multiple Agents and Optimal Goal Assignment. IEEE Access. 12. 101407–101418. 2 indexed citations

8.

Sayed, Aya Nabil, et al.. (2024). From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions. Big Data and Cognitive Computing. 8(4). 36–36. 15 indexed citations

9.

Chronis, Christos, Iraklis Varlamis, Yassine Himeur, et al.. (2024). A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems. SHILAP Revista de lepidopterología. 5. 227–247. 16 indexed citations

10.

Makris, Antonios, et al.. (2024). StreamK3s: A K3s-Based Data Stream Processing Platform for Simplifying Pipeline Creation, Deployment, and Scaling. SoftwareX. 27. 101786–101786. 1 indexed citations

11.

Chronis, Christos, et al.. (2024). A Holistic Approach to Use Educational Robots for Supporting Computer Science Courses. Computers. 13(4). 102–102. 5 indexed citations

12.

Sardianos, Christos, et al.. (2024). Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions. IEEE Access. 12. 159794–159820. 23 indexed citations

13.

Kalafati, Ioanna Panagiota, Georgia Kourlaba, Panagiotis Moulos, et al.. (2024). A Dietary Intervention in Adults with Overweight or Obesity Leads to Weight Loss Irrespective of Macronutrient Composition. Nutrients. 16(17). 2842–2842. 2 indexed citations

14.

Himeur, Yassine, et al.. (2023). Neural Load Disaggregation: Meta-Analysis, Federated Learning and Beyond. Energies. 16(2). 991–991. 14 indexed citations

15.

Alexandridis, Georgios, et al.. (2021). A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media. Information. 12(8). 331–331. 38 indexed citations

16.

Casanova, Marco A., et al.. (2020). Stop-and-move sequence expressions over semantic trajectories. International Journal of Geographical Information Systems. 35(4). 793–818. 3 indexed citations

17.

Alsalemi, Abdullah, Christos Sardianos, Fayçal Bensaali, et al.. (2019). The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving. IEEE Systems Journal. 13(3). 3376–3387. 44 indexed citations

18.

Varlamis, Iraklis, et al.. (2019). A network abstraction of multi-vessel trajectory data for detecting anomalies. Zenodo (CERN European Organization for Nuclear Research). 21 indexed citations

19.

Tsatsaronis, George, Iraklis Varlamis, & M. Vazirgiannis. (2010). Text Relatedness Based on a Word Thesaurus. Journal of Artificial Intelligence Research. 37. 1–39. 90 indexed citations

20.

Tsatsaronis, George, et al.. (2010). SemanticRank: Ranking Keywords and Sentences Using Semantic Graphs. International Conference on Computational Linguistics. 1074–1082. 28 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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