Νικόλαος Πεππές

879 total citations · 1 hit paper
20 papers, 546 citations indexed

About

Νικόλαος Πεππές is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Νικόλαος Πεππές has authored 20 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Signal Processing and 6 papers in Computer Networks and Communications. Recurrent topics in Νικόλαος Πεππές's work include Advanced Malware Detection Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Network Security and Intrusion Detection (4 papers). Νικόλαος Πεππές is often cited by papers focused on Advanced Malware Detection Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Network Security and Intrusion Detection (4 papers). Νικόλαος Πεππές collaborates with scholars based in Greece, Spain and Germany. Νικόλαος Πεππές's co-authors include Konstantinos Demestichas, Theodoros Alexakis, Evgenia Adamopoulou, Panagiοtis Tsakanikas and Eva Muñoz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Νικόλαος Πεππές

18 papers receiving 524 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.

Blockchain in Agriculture Traceability Systems: A Review

2020 251 citations Konstantinos Demestichas, Νικόλαος Πεππές et al. Applied Sciences profile →

Peers

Countries citing papers authored by Νικόλαος Πεππές

Since Specialization

Citations

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

Fields of papers citing papers by Νικόλαος Πεππές

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Νικόλαος Πεππές

This figure shows the co-authorship network connecting the top 25 collaborators of Νικόλαος Πεππές. A scholar is included among the top collaborators of Νικόλαος Πεππές 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 Νικόλαος Πεππές. Νικόλαος Πεππές 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	Evaluating Data Quality: Comparative Insights on Standards, Methodologies, and Modern Software Tools 2025 ·Electronics ·Theodoros Alexakis, Evgenia Adamopoulou, Νικόλαος Πεππές, (unknown), (unknown)	0
2	A Multimodal Framework for Advanced Cybersecurity Threat Detection Using GAN-Driven Data Synthesis 2025 ·Applied Sciences ·Νικόλαος Πεππές, (unknown), Theodoros Alexakis, Evgenia Adamopoulou	0
3	A Comparison Study of Generative Adversarial Network Architectures for Malicious Cyber-Attack Data Generation 2023 ·Applied Sciences ·Νικόλαος Πεππές, Theodoros Alexakis, Konstantinos Demestichas, Evgenia Adamopoulou	6
4	The Effectiveness of Zero-Day Attacks Data Samples Generated via GANs on Deep Learning Classifiers 2023 ·Sensors ·Νικόλαος Πεππές, Theodoros Alexakis, Evgenia Adamopoulou, Konstantinos Demestichas	16
5	Malware Image Generation and Detection Method Using DCGANs and Transfer Learning 2023 ·IEEE Access ·Νικόλαος Πεππές, Theodoros Alexakis, (unknown), Konstantinos Demestichas, Evgenia Adamopoulou	5
6	FoGGAN: Generating Realistic Parkinson’s Disease Freezing of Gait Data Using GANs 2023 ·Sensors ·Νικόλαος Πεππές, Panagiοtis Tsakanikas, (unknown), Theodoros Alexakis, Evgenia Adamopoulou, Konstantinos Demestichas	12
7	Applications of Fusion Techniques in E-Commerce Environments: A Literature Review 2022 ·Sensors ·(unknown), (unknown), Νικόλαος Πεππές, Theodoros Alexakis, Konstantinos Demestichas, Evgenia Adamopoulou, (unknown)	6
8	A Machine Learning-Based Method for Content Verification in the E-Commerce Domain 2022 ·Information ·Theodoros Alexakis, Νικόλαος Πεππές, Konstantinos Demestichas, Evgenia Adamopoulou	7
9	A Distributed Big Data Analytics Architecture for Vehicle Sensor Data 2022 ·Sensors ·Theodoros Alexakis, Νικόλαος Πεππές, Konstantinos Demestichas, Evgenia Adamopoulou	7
10	A Quality Control Methodology for Heterogeneous Vehicular Data Streams 2022 ·Sensors ·(unknown), Theodoros Alexakis, Νικόλαος Πεππές, Konstantinos Demestichas, Evgenia Adamopoulou	4
11	Knowledge Engineering for Crime Investigation 2022 ·Fraunhofer-Publica (Fraunhofer-Gesellschaft) ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Konstantinos Demestichas, Νικόλαος Πεππές, (unknown), (unknown), Eva Muñoz, (unknown)	1
12	Comparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data 2021 ·SHILAP Revista de lepidopterología ·Konstantinos Demestichas, Theodoros Alexakis, Νικόλαος Πεππές, Evgenia Adamopoulou	12
13	Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0 2021 ·Sensors ·Νικόλαος Πεππές, (unknown), Theodoros Alexakis, Evgenia Adamopoulou, Konstantinos Demestichas	55
14	An Artificial Intelligence-Based Approach for the Controlled Access Ramp Metering Problem 2021 ·SHILAP Revista de lepidopterología ·Theodoros Alexakis, Νικόλαος Πεππές, Evgenia Adamopoulou, Konstantinos Demestichas	4
15	Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data 2021 ·Sensors ·Νικόλαος Πεππές, Theodoros Alexakis, Evgenia Adamopoulou, Konstantinos Demestichas	30
16	An Advanced Abnormal Behavior Detection Engine Embedding Autoencoders for the Investigation of Financial Transactions 2021 ·Information ·Konstantinos Demestichas, Νικόλαος Πεππές, Theodoros Alexakis, Evgenia Adamopoulou	4
17	Blockchain in Agriculture Traceability Systems: A Review breakdown → 2020 ·Applied Sciences ·Konstantinos Demestichas, Νικόλαος Πεππές, Theodoros Alexakis, Evgenia Adamopoulou	251
18	Survey on Security Threats in Agricultural IoT and Smart Farming 2020 ·Sensors ·Konstantinos Demestichas, Νικόλαος Πεππές, Theodoros Alexakis	123
19	A Semantic Engine and an Ontology Visualization Tool for Advanced Crime Analysis 2020 ·Procedia Computer Science ·Νικόλαος Πεππές, Theodoros Alexakis, Evgenia Adamopoulou, (unknown), Konstantinos Demestichas	1
20	The Role of Drones as an Enabler for the 4th Agricultural Revolution 2020 ·Konstantinos Demestichas, Theodoros Alexakis, Νικόλαος Πεππές, Evgenia Adamopoulou	2

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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