Anton Dignös
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
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- Advanced Database Systems and Queries
Papers in
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- Data Management and Algorithms 18
- Time Series Analysis and Forecasting 6
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- Advanced Database Systems and Queries 15
- Co-authors
- Johann Gamper (21 shared papers)Michael H. Böhlen (9 shared papers)Sven Helmer (3 shared papers)Christian S. Jensen (3 shared papers)Fabio Persia (1 shared paper)Lorenzo Maccioni (2 shared papers)Yuri Borgianni (2 shared papers)Demis Basso (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (4 papers)Information Systems (3 papers)The VLDB Journal (2 papers)Information Sciences (1 paper)Information Systems Frontiers (1 paper)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Anton Dignös
23 papers receiving 216 citations
Peers
Comparison fields: 5 of 48
- Signal Processing 148
- Computer Networks and Communications 145
- Artificial Intelligence 90
- Computer Vision and Pattern Recognition 40
- Information Systems 42
Countries citing papers authored by Anton Dignös
This map shows the geographic impact of Anton Dignös'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 Anton Dignös with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Dignös more than expected).
Fields of papers citing papers by Anton Dignös
This network shows the impact of papers produced by Anton Dignös. 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 Anton Dignös. The network helps show where Anton Dignös may publish in the future.
Co-authors
The 25 scholars most cited alongside Anton Dignös, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 35 | |
| 2 | 2012 | 30 | |
| 3 | 2014 | 30 | |
| 4 | 2016 | 19 | |
| 5 | 2017 | 18 | |
| 6 | 2017 | 17 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2013 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 1 |
About Anton Dignös
Anton Dignös is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 28 papers that have together received 219 indexed citations. Recurring topics across this work include Data Management and Algorithms (18 papers), Advanced Database Systems and Queries (15 papers), Algorithms and Data Compression (7 papers), Time Series Analysis and Forecasting (6 papers), Data Mining Algorithms and Applications (5 papers), Graph Theory and Algorithms (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Signal Processing (148 citations), Computer Networks and Communications (145 citations), Artificial Intelligence (90 citations), Computer Vision and Pattern Recognition (40 citations) and Information Systems (42 citations). Anton Dignös has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Johann Gamper, Michael H. Böhlen, Sven Helmer, Christian S. Jensen, Fabio Persia, Lorenzo Maccioni, Yuri Borgianni, Demis Basso, Djellel Difallah and Philippe Cudré-Mauroux. Their work appears in journals such as Proceedings of the VLDB Endowment, Information Systems, The VLDB Journal, Information Sciences and Information Systems Frontiers.
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.