Fotis Aisopos

473 total citations
23 papers, 246 citations indexed

About

Fotis Aisopos is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Fotis Aisopos has authored 23 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Fotis Aisopos's work include Sentiment Analysis and Opinion Mining (4 papers), Bioinformatics and Genomic Networks (4 papers) and IoT and Edge/Fog Computing (4 papers). Fotis Aisopos is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Bioinformatics and Genomic Networks (4 papers) and IoT and Edge/Fog Computing (4 papers). Fotis Aisopos collaborates with scholars based in Greece, Germany and United Kingdom. Fotis Aisopos's co-authors include Theodora Varvarigou, Konstantinos Tserpes, George Papadakis, Γεώργιος Παλιούρας, María-Esther Vidal, Peter Garrard, Dimosthenis Kyriazis, John Violos, Αντώνιος Λίτκε and George Paliouras and has published in prestigious journals such as International Journal of Production Economics, BMC Bioinformatics and Future Generation Computer Systems.

In The Last Decade

Fotis Aisopos

22 papers receiving 234 citations

Peers

Countries citing papers authored by Fotis Aisopos

Since Specialization

Citations

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

Fields of papers citing papers by Fotis Aisopos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fotis Aisopos

This figure shows the co-authorship network connecting the top 25 collaborators of Fotis Aisopos. A scholar is included among the top collaborators of Fotis Aisopos 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 Fotis Aisopos. Fotis Aisopos 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	A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient 2024 ·Data in Brief ·(unknown), Guillermo Vigueras, (unknown), (unknown), Ernestina Menasalvas, María Torrente, (unknown), Fotis Aisopos, Dimitrios Vogiatzis, (unknown), Mariano Provencio, María-Esther Vidal, Alejandro Rodríguez‐González	0
2	Comparing methods for drug–gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability 2023 ·BMC Bioinformatics ·Fotis Aisopos, Γεώργιος Παλιούρας	6
3	Knowledge graphs for enhancing transparency in health data ecosystems1 2023 ·Semantic Web ·Fotis Aisopos, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodríguez‐González, Guillermo Vigueras, (unknown), María Torrente, (unknown), Mariano Provencio, (unknown), (unknown), Γεώργιος Παλιούρας, María-Esther Vidal	11
4	Improving Early Prognosis of Dementia Using Machine Learning Methods 2022 ·(unknown), Fotis Aisopos, Peter Garrard, María-Esther Vidal, Γεώργιος Παλιούρας	5
5	Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records 2022 ·BMC Medical Informatics and Decision Making ·(unknown), Fotis Aisopos, María-Esther Vidal, Peter Garrard, Γεώργιος Παλιούρας	17
6	Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer's disease 2022 ·Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring ·Magdalena Arnal, Giorgio Bini, Dietmar Fernández‐Orth, (unknown), (unknown), Fotis Aisopos, Jordi Rambla, George Paliouras, Peter Garrard, Claudia Giambartolomei, Gian Gaetano Tartaglia	6
7	Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities 2022 ·Journal of Web Semantics ·(unknown), (unknown), (unknown), (unknown), (unknown), Fotis Aisopos, (unknown), (unknown), (unknown), Anastasia Krithara, Γεώργιος Παλιούρας, María-Esther Vidal	17
8	Calibrating Mini-Mental State Examination Scores to Predict Misdiagnosed Dementia Patients 2021 ·Applied Sciences ·(unknown), Fotis Aisopos, María-Esther Vidal, Peter Garrard, George Paliouras	7
9	Mapping of Quality of Service Requirements to Resource Demands for IaaS 2019 ·(unknown), Fotis Aisopos, John Violos, George Kousiouris, (unknown), Theodora Varvarigou, (unknown), (unknown), (unknown)	5
10	Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization 2019 ·John Violos, (unknown), Konstantinos Tserpes, Fotis Aisopos, Theodora Varvarigou	4
11	Cloud toolkit for Provider assessment, optimized Application Cloudification and deployment on IaaS 2018 ·Future Generation Computer Systems ·(unknown), John Violos, Fotis Aisopos, (unknown), George Kousiouris, (unknown), Theodora Varvarigou, (unknown), (unknown), (unknown)	5
12	A Toolkit Based Architecture for Optimizing Cloud Management, Performance Evaluation and Provider Selection Processes 2017 ·George Kousiouris, Fotis Aisopos, (unknown), Theodora Varvarigou, Jörg Domaschka, Daniel Baur, Frank Griesinger, (unknown), George Lyberopoulos, Eleni Theodoropoulou, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	2
13	Using N-Gram Graphs for Sentiment Analysis: An Extended Study on Twitter 2016 ·Fotis Aisopos, (unknown), John Violos, Theodora Varvarigou	10
14	Social network services for innovative smart cities: the RADICAL platform approach 2016 ·Fotis Aisopos, Αντώνιος Λίτκε, (unknown), Konstantinos Tserpes, (unknown), Theodora Varvarigou	9
15	Textual and contextual patterns for sentiment analysis over microblogs 2012 ·DSpace - NTUA (National Technical University of Athens) ·Fotis Aisopos, George Papadakis, Konstantinos Tserpes, Theodora Varvarigou	10
16	Social media meta-API 2012 ·George Papadakis, Konstantinos Tserpes, (unknown), (unknown), (unknown), Fotis Aisopos	5
17	Policy Testing in Virtual Environments 2012 ·International Journal of Electronic Government Research ·(unknown), (unknown), Eleni Kosta, Fotis Aisopos, (unknown), Theodora Varvarigou	1
18	Content vs. context for sentiment analysis 2012 ·DSpace - NTUA (National Technical University of Athens) ·Fotis Aisopos, George Papadakis, Konstantinos Tserpes, Theodora Varvarigou	36
19	Sentiment analysis of social media content using N-Gram graphs 2011 ·DSpace - NTUA (National Technical University of Athens) ·Fotis Aisopos, George Papadakis, Theodora Varvarigou	36
20	Resource management in software as a service using the knapsack problem model 2011 ·International Journal of Production Economics ·Fotis Aisopos, Konstantinos Tserpes, Theodora Varvarigou	25

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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