George Papadakis
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 1%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Epidemiology
- Co-authors
- Themis PalpanasWolfgang NejdlEkaterini IoannouClaudia NiederéeGeorge PapastefanatosGeorgia KoutrikaManolis KoubarakisDimitrios Skoutas
- Topics
- Data Quality and Management (42 papers)Web Data Mining and Analysis (21 papers)Semantic Web and Ontologies (18 papers)
In The Last Decade
George Papadakis
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Management Science and Operations Research 996
- Artificial Intelligence 930
- Information Systems 558
- Computer Networks and Communications 269
- Epidemiology 98
Countries citing papers authored by George Papadakis
This map shows the geographic impact of George Papadakis'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 George Papadakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Papadakis more than expected).
Fields of papers citing papers by George Papadakis
This network shows the impact of papers produced by George Papadakis. 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 George Papadakis. The network helps show where George Papadakis may publish in the future.
Co-authorship network of co-authors of George Papadakis
This figure shows the co-authorship network connecting the top 25 collaborators of George Papadakis. A scholar is included among the top collaborators of George Papadakis 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 George Papadakis. George Papadakis 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 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 30 | |
| 10 | 25 | |
| 11 | 18 | |
| 12 | 16 | |
| 13 | 32 | |
| 14 | 36 | |
| 15 | 10 | |
| 16 | 60 | |
| 17 | 11 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | How Predictable Are You? A Comparison of Prediction Algorithms for Web Page Revisitation. | 3 |
About George Papadakis
George Papadakis is a scholar working on Management Science and Operations Research, Information Systems and Artificial Intelligence, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Quality and Management (42 papers), Web Data Mining and Analysis (21 papers) and Semantic Web and Ontologies (18 papers). The work is most often cited by research in Management Science and Operations Research (996 citations), Artificial Intelligence (930 citations) and Information Systems (558 citations). George Papadakis has collaborated with scholars based in Greece, France and Germany. Frequent co-authors include Themis Palpanas, Wolfgang Nejdl, Ekaterini Ioannou, Claudia Niederée, George Papastefanatos, Georgia Koutrika, Manolis Koubarakis, Dimitrios Skoutas, Emmanouil Thanos and Vasilis Efthymiou. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.
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.