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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- Advanced Database Systems and Queries 30
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- Time Series Analysis and Forecasting 7
- Data Management and Algorithms 6
- Co-authors
- Johann Gamper (32 shared papers)Michael H. Böhlen (10 shared papers)Sven Helmer (3 shared papers)Christian Søndergaard Jensen (4 shared papers)Fabio Persia (1 shared paper)Boris Glavic (1 shared paper)Philippe Cudré-Mauroux (2 shared papers)Mourad Khayati (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (5 papers)Information Systems (3 papers)The VLDB Journal (2 papers)IEEE Transactions on Instrumentation and Measurement (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Anton Dignös
33 papers receiving 336 citations
Peers
Comparison fields: 5 of 45
- Signal Processing 104
- Computer Networks and Communications 237
- Computational Mathematics 1
- Computer Vision and Pattern Recognition 30
- Artificial Intelligence 40
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 45 | |
| 2 | 2014 | 41 | |
| 3 | 2012 | 39 | |
| 4 | 2016 | 24 | |
| 5 | 2018 | 22 | |
| 6 | 2017 | 21 | |
| 7 | 2017 | 17 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2023 | 13 | |
| 12 | 2013 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2018 | 6 | |
| 16 | 2015 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2018 | 3 |
About Anton Dignös
Anton Dignös is a scholar working on Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 41 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (30 papers), Time Series Analysis and Forecasting (7 papers), Data Management and Algorithms (6 papers), Data Visualization and Analytics (3 papers), Fault Detection and Control Systems (2 papers), Data Quality and Management (1 paper), Data Mining Algorithms and Applications (1 paper) and Graph Theory and Algorithms (1 paper). The work is most often cited by research in Signal Processing (104 citations), Computer Networks and Communications (237 citations), Computational Mathematics (1 citation), Computer Vision and Pattern Recognition (30 citations) and Artificial Intelligence (40 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 Søndergaard Jensen, Fabio Persia, Boris Glavic, Philippe Cudré-Mauroux, Mourad Khayati, Djellel Eddine Difallah and Lorenzo Maccioni. Their work appears in journals such as Proceedings of the VLDB Endowment, Information Systems, The VLDB Journal, IEEE Transactions on Instrumentation and Measurement and ACM Computing Surveys.
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.