Giorgos Giannopoulos
- Cancer Research top 5%
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- Geographic Information Systems Studies 10
- Signal Processing top 10%
- Data Management and Algorithms 8
- Artificial Intelligence top 10%
- Semantic Web and Ontologies 9
- Explainable Artificial Intelligence (XAI) 3
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- Data Quality and Management 5
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- Fire effects on ecosystems 4
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- Transportation Planning and Optimization 2
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- Photovoltaic System Optimization Techniques 2
- Co-authors
- Timos SellisTheodore DalamagasManolis MaragkakisV. A. SimossisGiorgio L. PapadopoulosThanasis VergoulisMartin ReczkoArtemis G. Hatzigeorgiou
- Partner nations
- GreeceSpainUnited States
In The Last Decade
Giorgos Giannopoulos
29 papers receiving 920 citations
Peers
Comparison fields: 5 of 115
- Cancer Research 604
- Geography, Planning and Development 68
- Molecular Biology 615
- Signal Processing 68
- Artificial Intelligence 124
Countries citing papers authored by Giorgos Giannopoulos
This map shows the geographic impact of Giorgos Giannopoulos'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 Giorgos Giannopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgos Giannopoulos more than expected).
Fields of papers citing papers by Giorgos Giannopoulos
This network shows the impact of papers produced by Giorgos Giannopoulos. 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 Giorgos Giannopoulos. The network helps show where Giorgos Giannopoulos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giorgos Giannopoulos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 0 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 3 | |
| 11 | Open Issues and Challenges on Time Series Forecasting for Water Consumption | 2016 | 3 |
| 12 | Automatic Recommendations of Categories for Geospatial Entities. | 2015 | 3 |
| 13 | TripleGeo: an ETL Tool for Transforming Geospatial Data into RDF Triples | 2014 | 32 |
| 14 | GeoKnow: Making the Web an Exploratory Place for Geospatial Knowledge | 2014 | 6 |
| 15 | 2014 | 7 | |
| 16 | 2012 | 13 | |
| 17 | 2011 | 12 | |
| 18 | 2009 | 272 | |
| 19 | 2009 | 454 | |
| 20 | 2001 | 0 |
About Giorgos Giannopoulos
Giorgos Giannopoulos is a scholar working on Geography, Planning and Development, Signal Processing and Artificial Intelligence, having authored 34 papers that have together received 955 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (10 papers), Semantic Web and Ontologies (9 papers), Data Management and Algorithms (8 papers), Data Quality and Management (5 papers), Fire effects on ecosystems (4 papers), Explainable Artificial Intelligence (XAI) (3 papers), Transportation Planning and Optimization (2 papers) and Photovoltaic System Optimization Techniques (2 papers). The work is most often cited by research in Cancer Research (604 citations), Geography, Planning and Development (68 citations) and Molecular Biology (615 citations). Giorgos Giannopoulos has collaborated with scholars based in Greece, Spain and United States. Frequent co-authors include Timos Sellis, Theodore Dalamagas, Manolis Maragkakis, V. A. Simossis, Giorgio L. Papadopoulos, Thanasis Vergoulis, Martin Reczko, Artemis G. Hatzigeorgiou, Nectarios Koziris and Evangelos Koukis. Their work appears in journals such as Nucleic Acids Research, IEEE Access and BMC Bioinformatics.
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.