Ioannis Partalas

1.6k total citations
13 papers, 275 citations indexed

About

Ioannis Partalas is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Ioannis Partalas has authored 13 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Ioannis Partalas's work include Reinforcement Learning in Robotics (4 papers), Text and Document Classification Technologies (3 papers) and Spam and Phishing Detection (2 papers). Ioannis Partalas is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Text and Document Classification Technologies (3 papers) and Spam and Phishing Detection (2 papers). Ioannis Partalas collaborates with scholars based in Greece, France and Portugal. Ioannis Partalas's co-authors include Ioannis Vlahavas, Grigorios Tsoumakas, Éric Gaussier, Georgios Tzanis, Ioannis Katakis, Ion Androutsopoulos, Massih-Réza Amini, Thierry Artières, Patrick Gallinari and Rohit Babbar and has published in prestigious journals such as Information Sciences, Neurocomputing and Machine Learning.

In The Last Decade

Ioannis Partalas

12 papers receiving 266 citations

Peers

Countries citing papers authored by Ioannis Partalas

Since Specialization

Citations

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

Fields of papers citing papers by Ioannis Partalas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Partalas

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Partalas. A scholar is included among the top collaborators of Ioannis Partalas 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 Ioannis Partalas. Ioannis Partalas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Juggler: Multi-Stakeholder Ranking with Meta-Learning. 2021 ·Conference on Recommender Systems ·(unknown), Ioannis Partalas, Phong Nguyen	1
2	Learning to Search for Recognizing Named Entities in Twitter 2016 ·International Conference on Computational Linguistics ·Ioannis Partalas, (unknown), (unknown), (unknown)	12
3	On power law distributions in large-scale taxonomies 2014 ·ACM SIGKDD Explorations Newsletter ·Rohit Babbar, (unknown), Ioannis Partalas, Éric Gaussier, Massih-Reza Amini	9
4	Web-scale classification 2014 ·Ioannis Partalas, Massih-Réza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Γεώργιος Παλιούρας	11
5	Special Issue on “Solving complex machine learning problems with ensemble methods” 2014 ·Neurocomputing ·Daniel Hernández-Lobato, Ioannis Katakis, Gonzalo Martínez-Muñoz, Ioannis Partalas	0
6	Transferring task models in Reinforcement Learning agents 2012 ·Neurocomputing ·(unknown), Ioannis Partalas, Grigorios Tsoumakas, Ioannis Vlahavas	19
7	An ensemble uncertainty aware measure for directed hill climbing ensemble pruning 2010 ·Machine Learning ·Ioannis Partalas, Grigorios Tsoumakas, Ioannis Vlahavas	76
8	Transferring experience in reinforcement learning through task decomposition 2009 ·Adaptive Agents and Multi-Agents Systems ·Ioannis Partalas, Grigorios Tsoumakas, (unknown), Ioannis Vlahavas	1
9	Greedy regression ensemble selection: Theory and an application to water quality prediction 2008 ·Information Sciences ·Ioannis Partalas, Grigorios Tsoumakas, (unknown), Ioannis Vlahavas	49
10	Pruning an ensemble of classifiers via reinforcement learning 2008 ·Neurocomputing ·Ioannis Partalas, Grigorios Tsoumakas, Ioannis Vlahavas	69
11	A HYBRID MULTIAGENT REINFORCEMENT LEARNING APPROACH USING STRATEGIES AND FUSION 2008 ·International Journal of Artificial Intelligence Tools ·Ioannis Partalas, (unknown), Ioannis Vlahavas	5
12	Multi-agent Reinforcement Learning Using Strategies and Voting 2007 ·Ioannis Partalas, (unknown), Ioannis Vlahavas	10
13	Modern Applications of Machine Learning 2006 ·Georgios Tzanis, Ioannis Katakis, Ioannis Partalas, Ioannis Vlahavas	13

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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