Aristeidis Karras

801 total citations · 1 hit paper
32 papers, 387 citations indexed

About

Aristeidis Karras is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Aristeidis Karras has authored 32 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Aristeidis Karras's work include IoT and Edge/Fog Computing (6 papers), Data Stream Mining Techniques (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Aristeidis Karras is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Data Stream Mining Techniques (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Aristeidis Karras collaborates with scholars based in Greece and United Kingdom. Aristeidis Karras's co-authors include Christos Karras, Spyros Sioutas, Leonidas Theodorakopoulos, Dimitrios Tsolis, Konstantinos C. Giotopoulos, Markos Avlonitis, Κωνσταντίνος Οικονόμου, Eleni Orphanidou Vlachou, Dimitrios Michalopoulos and Constantinos Halkiopoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Electronics.

In The Last Decade

Aristeidis Karras

29 papers receiving 366 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.

Autonomous Vehicles: Sophisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions

2023 103 citations Aristeidis Karras, Leonidas Theodorakopoulos et al. SHILAP Revista de lepidopterología profile →

Peers

Countries citing papers authored by Aristeidis Karras

Since Specialization

Citations

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

Fields of papers citing papers by Aristeidis Karras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aristeidis Karras

This figure shows the co-authorship network connecting the top 25 collaborators of Aristeidis Karras. A scholar is included among the top collaborators of Aristeidis Karras 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 Aristeidis Karras. Aristeidis Karras 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	AI-Driven Bayesian Deep Learning for Lung Cancer Prediction: Precision Decision Support in Big Data Health Informatics 2025 ·BioMedInformatics ·(unknown), (unknown), Leonidas Theodorakopoulos, (unknown), (unknown), (unknown), Aristeidis Karras	2
2	LLMs for Cybersecurity in the Big Data Era: A Comprehensive Review of Applications, Challenges, and Future Directions 2025 ·Information ·Aristeidis Karras, Leonidas Theodorakopoulos, Christos Karras, (unknown), (unknown), (unknown)	1
3	MCMC Methods: From Theory to Distributed Hamiltonian Monte Carlo over PySpark 2025 ·Algorithms ·Christos Karras, Leonidas Theodorakopoulos, Aristeidis Karras, (unknown), (unknown), (unknown)	1
4	Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics 2025 ·Algorithms ·Leonidas Theodorakopoulos, Aristeidis Karras, (unknown)	3
5	LLM-Driven Big Data Management Across Digital Governance, Marketing, and Accounting: A Spark-Orchestrated Framework 2025 ·Algorithms ·Aristeidis Karras, Leonidas Theodorakopoulos, Christos Karras, (unknown), (unknown), (unknown)	0
6	Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies 2024 ·SHILAP Revista de lepidopterología ·Leonidas Theodorakopoulos, Aristeidis Karras, (unknown), (unknown)	9
7	TinyML Algorithms for Big Data Management in Large-Scale IoT Systems 2024 ·Future Internet ·Aristeidis Karras, (unknown), Christos Karras, Leonidas Theodorakopoulos, (unknown), (unknown), Spyros Sioutas	19
8	Efficient Algorithms for Range Mode Queries in the Big Data Era 2024 ·Information ·Christos Karras, Leonidas Theodorakopoulos, Aristeidis Karras, (unknown)	9
9	FLIBD: A Federated Learning-Based IoT Big Data Management Approach for Privacy-Preserving over Apache Spark with FATE 2023 ·Electronics ·Aristeidis Karras, (unknown), Leonidas Theodorakopoulos, (unknown), (unknown), Christos Karras, Spyros Sioutas	21
10	EVCA Classifier: A MCMC-Based Classifier for Analyzing High-Dimensional Big Data 2023 ·Information ·Eleni Orphanidou Vlachou, Christos Karras, Aristeidis Karras, Dimitrios Tsolis, Spyros Sioutas	7
11	Federated Edge Intelligence and Edge Caching Mechanisms 2023 ·Information ·Aristeidis Karras, Christos Karras, Konstantinos C. Giotopoulos, Dimitrios Tsolis, Κωνσταντίνος Οικονόμου, Spyros Sioutas	13
12	Modelling and Analysis of Neuro Fuzzy Employee Ranking System in the Public Sector 2023 ·Algorithms ·Konstantinos C. Giotopoulos, Dimitrios Michalopoulos, Aristeidis Karras, Christos Karras, Spyros Sioutas	9
13	An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture 2023 ·Information ·Aristeidis Karras, Christos Karras, Spyros Sioutas, Christos Makris, George Katselis, Ioannis Hatzilygeroudis, John Α. Theodorou, Dimitrios Tsolis	4
14	WiCHORD+: A Scalable, Sustainable, and P2P Chord-Based Ecosystem for Smart Agriculture Applications 2023 ·Sensors ·(unknown), Aristeidis Karras, Christos Karras, Ioannis Karydis, Spyros Sioutas	4
15	Edge Artificial Intelligence in Large-Scale IoT Systems, Applications, and Big Data Infrastructures 2023 ·Aristeidis Karras, (unknown), Christos Karras, Konstantinos C. Giotopoulos, Dimitrios Tsolis, Spyros Sioutas	2
16	AutoML with Bayesian Optimizations for Big Data Management 2023 ·Information ·Aristeidis Karras, Christos Karras, (unknown), Markos Avlonitis, Spyros Sioutas	19
17	Consensus Big Data Clustering for Bayesian Mixture Models 2023 ·Algorithms ·Christos Karras, Aristeidis Karras, Konstantinos C. Giotopoulos, Markos Avlonitis, Spyros Sioutas	4
18	A Hybrid Ensemble Deep Learning Approach for Emotion Classification 2022 ·2022 IEEE International Conference on Big Data (Big Data) ·Christos Karras, Aristeidis Karras, Dimitrios Tsolis, Markos Avlonitis, Spyros Sioutas	4
19	Weighted Reservoir Sampling On Evolving Streams: A Sampling Algorithmic Framework For Stream Event Identification 2022 ·Christos Karras, Aristeidis Karras, Γεώργιος Δρακόπουλος, (unknown), Phivos Mylonas, Spyros Sioutas	2
20	Tree Data Structures and Efficient Indexing Techniques for Big Data Management: A Comprehensive Study 2022 ·(unknown), Christos Karras, Aristeidis Karras, Leonidas Theodorakopoulos, Spyros Sioutas	4

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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