Dimitrios Skoutas
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Management Science and Operations Research top 2%
- Co-authors
- Alkis SimitsisMohammad AlrifaiThomas RisseTimos SellisDimitris SacharidisGeorge PapadakisTheodora VarvarigouThemis Palpanas
- Topics
- Data Management and Algorithms (43 papers)Semantic Web and Ontologies (17 papers)Web Data Mining and Analysis (16 papers)
- Partner nations
- GreeceUnited StatesGermany
In The Last Decade
Dimitrios Skoutas
74 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Information Systems 745
- Computer Networks and Communications 598
- Artificial Intelligence 485
- Signal Processing 309
- Management Science and Operations Research 243
Countries citing papers authored by Dimitrios Skoutas
This map shows the geographic impact of Dimitrios Skoutas'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 Skoutas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitrios Skoutas more than expected).
Fields of papers citing papers by Dimitrios Skoutas
This network shows the impact of papers produced by Dimitrios Skoutas. 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 Skoutas. The network helps show where Dimitrios Skoutas may publish in the future.
Co-authorship network of co-authors of Dimitrios Skoutas
This figure shows the co-authorship network connecting the top 25 collaborators of Dimitrios Skoutas. A scholar is included among the top collaborators of Dimitrios Skoutas 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 Skoutas. Dimitrios Skoutas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | BigDataVoyant: Automated Profiling of Large Geospatial Data. | 1 |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | Map-Based Visual Exploration of Geolocated Time Series. | 2 |
| 12 | 2 | |
| 13 | 20 | |
| 14 | Automatic Recommendations of Categories for Geospatial Entities. | 3 |
| 15 | 4 | |
| 16 | Re-ranking web service search results under diverse user preferences | 6 |
| 17 | 98 | |
| 18 | Recommend me a Service: Personalized Semantic Web Service Matchmaking. | 3 |
| 19 | 10 | |
| 20 | Ontology-based data sharing in p2p databases | 1 |
About Dimitrios Skoutas
Dimitrios Skoutas is a scholar working on Signal Processing, Geography, Planning and Development and Information Systems, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (43 papers), Semantic Web and Ontologies (17 papers) and Web Data Mining and Analysis (16 papers). The work is most often cited by research in Information Systems (745 citations), Signal Processing (309 citations) and Computer Networks and Communications (598 citations). Dimitrios Skoutas has collaborated with scholars based in Greece, United States and Germany. Frequent co-authors include Alkis Simitsis, Mohammad Alrifai, Thomas Risse, Timos Sellis, Dimitris Sacharidis, George Papadakis, Theodora Varvarigou, Themis Palpanas, Emmanouil Thanos and Dieter Pfoser. Their work appears in journals such as American Journal of Clinical Nutrition, ACM Computing Surveys and Sustainability.
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.