E. J. Yannakoudakis
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Peter IngwersenNicholas J. BelkinTheodore PapageorgiouPankaj GoyalChristos SkourlasHelen YannakoudakisEleni PetrakiPanagiotis Andrikopoulos
- Topics
- Advanced Database Systems and Queries (10 papers)Mathematics, Computing, and Information Processing (7 papers)Semantic Web and Ontologies (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionInformation Processing & Management
- Partner nations
- United KingdomGreeceHong Kong
In The Last Decade
E. J. Yannakoudakis
31 papers receiving 332 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 257
- Information Systems 116
- Computer Vision and Pattern Recognition 71
- Computer Networks and Communications 57
- Statistical and Nonlinear Physics 46
Countries citing papers authored by E. J. Yannakoudakis
This map shows the geographic impact of E. J. Yannakoudakis'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 E. J. Yannakoudakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. J. Yannakoudakis more than expected).
Fields of papers citing papers by E. J. Yannakoudakis
This network shows the impact of papers produced by E. J. Yannakoudakis. 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 E. J. Yannakoudakis. The network helps show where E. J. Yannakoudakis may publish in the future.
Co-authorship network of co-authors of E. J. Yannakoudakis
This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Yannakoudakis. A scholar is included among the top collaborators of E. J. Yannakoudakis 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 E. J. Yannakoudakis. E. J. Yannakoudakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | 26 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | CUDL Language Semantics: Authority Links. | 1 |
| 8 | A Set-Theoretic Data Model For Evolving Database Environments. | 1 |
| 9 | CUDL Language Semantics, Liven Up the FDB Data Model | 5 |
| 10 | Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval | 100 |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | Speech Synthesis and Recognition Systems | 15 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 15 |
About E. J. Yannakoudakis
E. J. Yannakoudakis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 31 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Mathematics, Computing, and Information Processing (7 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (257 citations), Information Systems (116 citations) and Signal Processing (44 citations). E. J. Yannakoudakis has collaborated with scholars based in United Kingdom, Greece and Hong Kong. Frequent co-authors include Peter Ingwersen, Nicholas J. Belkin, Theodore Papageorgiou, Pankaj Goyal, Christos Skourlas, Helen Yannakoudakis, Eleni Petraki and Panagiotis Andrikopoulos. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition 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.