Zoltán Miklós
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Science Applications top 5%
- Epidemiology
- Co-authors
- Karl AbererBernd SimonThomas SchwentickGeorg GottlobDaniel OlmedillaV A DanisAndrew R. LloydAnthony L. Cunningham
- Topics
- Semantic Web and Ontologies (12 papers)Advanced Database Systems and Queries (6 papers)Service-Oriented Architecture and Web Services (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Infectious DiseasesJournal of the ACM
- Partner nations
- SwitzerlandFranceGermany
In The Last Decade
Zoltán Miklós
30 papers receiving 360 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 170
- Information Systems 127
- Computer Networks and Communications 96
- Computer Science Applications 82
- Epidemiology 63
Countries citing papers authored by Zoltán Miklós
This map shows the geographic impact of Zoltán Miklós'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 Zoltán Miklós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoltán Miklós more than expected).
Fields of papers citing papers by Zoltán Miklós
This network shows the impact of papers produced by Zoltán Miklós. 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 Zoltán Miklós. The network helps show where Zoltán Miklós may publish in the future.
Co-authorship network of co-authors of Zoltán Miklós
This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Miklós. A scholar is included among the top collaborators of Zoltán Miklós 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 Zoltán Miklós. Zoltán Miklós 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 | 1 | |
| 4 | 1 | |
| 5 | Entity-based Classification of Twitter Messages | 18 |
| 6 | 4 | |
| 7 | A novel multi-aspect consistency measurement for ontologies | 1 |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | Entity Search with NECESSITY | 3 |
| 13 | 6 | |
| 14 | 45 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | A Simple Query Interface for Interoperable Learning Repositories | 60 |
| 18 | Elena: A Mediation Infrastructure for Educational Services. | 25 |
| 19 | 0 | |
| 20 | 79 |
About Zoltán Miklós
Zoltán Miklós is a scholar working on Computer Science Applications, Computer Networks and Communications and Information Systems, having authored 33 papers that have together received 406 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Advanced Database Systems and Queries (6 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Computer Science Applications (82 citations), Information Systems (127 citations) and Artificial Intelligence (170 citations). Zoltán Miklós has collaborated with scholars based in Switzerland, France and Germany. Frequent co-authors include Karl Aberer, Bernd Simon, Thomas Schwentick, Georg Gottlob, Daniel Olmedilla, V A Danis, Andrew R. Lloyd, Anthony L. Cunningham, Sean H. Adams and Michael Sintek. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Infectious Diseases and Journal of the ACM.
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.