Symeon Symeonidis
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Management Science and Operations Research top 10%
- Management Information Systems
- Co-authors
- Avi ArampatzisDimitrios EffrosynidisProdromos ChatzoglouDimitrios ChatzoudesΑντώνιος ΓαστεράτοςFotios K. KonstantinidisVasiliki BalaskaSpyridon G. Mouroutsos
- Topics
- Sentiment Analysis and Opinion Mining (8 papers)Topic Modeling (5 papers)Advanced Text Analysis Techniques (5 papers)
- Cited by
- Artificial IntelligenceInformation Systems and ManagementManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Processing & Management
- Partner nations
- GreeceItalyUnited States
In The Last Decade
Symeon Symeonidis
23 papers receiving 370 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 200
- Information Systems 69
- Sociology and Political Science 61
- Management Science and Operations Research 47
- Management Information Systems 32
Countries citing papers authored by Symeon Symeonidis
This map shows the geographic impact of Symeon Symeonidis'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 Symeon Symeonidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Symeon Symeonidis more than expected).
Fields of papers citing papers by Symeon Symeonidis
This network shows the impact of papers produced by Symeon Symeonidis. 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 Symeon Symeonidis. The network helps show where Symeon Symeonidis may publish in the future.
Co-authorship network of co-authors of Symeon Symeonidis
This figure shows the co-authorship network connecting the top 25 collaborators of Symeon Symeonidis. A scholar is included among the top collaborators of Symeon Symeonidis 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 Symeon Symeonidis. Symeon Symeonidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 28 | |
| 16 | 33 | |
| 17 | 33 | |
| 18 | 2 | |
| 19 | 29 | |
| 20 | 8 |
About Symeon Symeonidis
Symeon Symeonidis is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Information Systems and Management, having authored 24 papers that have together received 384 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (8 papers), Topic Modeling (5 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (200 citations), Information Systems and Management (32 citations) and Management Science and Operations Research (47 citations). Symeon Symeonidis has collaborated with scholars based in Greece, Italy and United States. Frequent co-authors include Avi Arampatzis, Dimitrios Effrosynidis, Prodromos Chatzoglou, Dimitrios Chatzoudes, Αντώνιος Γαστεράτος, Fotios K. Konstantinidis, Vasiliki Balaska, Spyridon G. Mouroutsos, Dimitrios Chatzoudes and Loukas Bampis. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Processing & Management.
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.