Dimitrios Effrosynidis

763 total citations
14 papers, 445 citations indexed

About

Dimitrios Effrosynidis is a scholar working on Artificial Intelligence, Ecology and Communication. According to data from OpenAlex, Dimitrios Effrosynidis has authored 14 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Ecology and 2 papers in Communication. Recurrent topics in Dimitrios Effrosynidis's work include Sentiment Analysis and Opinion Mining (5 papers), Coral and Marine Ecosystems Studies (3 papers) and Advanced Text Analysis Techniques (3 papers). Dimitrios Effrosynidis is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Coral and Marine Ecosystems Studies (3 papers) and Advanced Text Analysis Techniques (3 papers). Dimitrios Effrosynidis collaborates with scholars based in Greece. Dimitrios Effrosynidis's co-authors include Avi Arampatzis, Symeon Symeonidis, Georgios Sylaios, Evangelos Spiliotis and Athanassios C. Tsikliras and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Dimitrios Effrosynidis

13 papers receiving 434 citations

Peers

Dimitrios Effrosynidis
Dimitrios Effrosynidis
Citations per year, relative to Dimitrios Effrosynidis Dimitrios Effrosynidis (= 1×) peers Pablo A. Henríquez

Countries citing papers authored by Dimitrios Effrosynidis

Since Specialization
Citations

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

Fields of papers citing papers by Dimitrios Effrosynidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitrios Effrosynidis

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

All Works

14 of 14 papers shown
1.
Effrosynidis, Dimitrios, Georgios Sylaios, & Avi Arampatzis. (2024). The Effect of Training Data Size on Disaster Classification from Twitter. Information. 15(7). 393–393. 1 indexed citations
2.
Effrosynidis, Dimitrios, Evangelos Spiliotis, Georgios Sylaios, & Avi Arampatzis. (2023). Time series and regression methods for univariate environmental forecasting: An empirical evaluation. The Science of The Total Environment. 875. 162580–162580. 28 indexed citations
3.
Effrosynidis, Dimitrios, Georgios Sylaios, & Avi Arampatzis. (2022). Exploring climate change on Twitter using seven aspects: Stance, sentiment, aggressiveness, temperature, gender, topics, and disasters. PLoS ONE. 17(9). e0274213–e0274213. 23 indexed citations
4.
Effrosynidis, Dimitrios, et al.. (2022). The climate change Twitter dataset. Expert Systems with Applications. 204. 117541–117541. 41 indexed citations
5.
Effrosynidis, Dimitrios, Evangelos Spiliotis, Georgios Sylaios, & Avi Arampatzis. (2022). Time Series and Regression Methods for Univariate Environmental Forecasting: An Empirical Evaluation. SSRN Electronic Journal.
6.
Effrosynidis, Dimitrios & Avi Arampatzis. (2021). An evaluation of feature selection methods for environmental data. Ecological Informatics. 61. 101224–101224. 116 indexed citations
7.
Effrosynidis, Dimitrios, et al.. (2021). DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021?. 1125–1129. 3 indexed citations
8.
Effrosynidis, Dimitrios, Athanassios C. Tsikliras, Avi Arampatzis, & Georgios Sylaios. (2020). Species Distribution Modelling via Feature Engineering and Machine Learning for Pelagic Fishes in the Mediterranean Sea. Applied Sciences. 10(24). 8900–8900. 21 indexed citations
9.
Effrosynidis, Dimitrios, Avi Arampatzis, & Georgios Sylaios. (2019). Seagrass and hydrographic data for the Mediterranean Sea. SHILAP Revista de lepidopterología. 25. 104286–104286. 6 indexed citations
10.
Effrosynidis, Dimitrios, Avi Arampatzis, & Georgios Sylaios. (2018). Seagrass detection in the mediterranean: A supervised learning approach. Ecological Informatics. 48. 158–170. 36 indexed citations
11.
Effrosynidis, Dimitrios, et al.. (2018). DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets. BOA (University of Milano-Bicocca). 466–469. 3 indexed citations
12.
Symeonidis, Symeon, Dimitrios Effrosynidis, & Avi Arampatzis. (2018). A comparative evaluation of pre-processing techniques and their interactions for twitter sentiment analysis. Expert Systems with Applications. 110. 298–310. 152 indexed citations
13.
Symeonidis, Symeon, et al.. (2017). DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles. 861–865. 3 indexed citations
14.
Symeonidis, Symeon, et al.. (2017). DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis. 704–708. 12 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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