Panagiotis Papapetrou
- Signal Processing top 1%
- Time Series Analysis and Forecasting 30
- Data Management and Algorithms 17
- Music and Audio Processing 13
- Health Informatics top 2%
- Artificial Intelligence top 2%
- Machine Learning in Healthcare 14
- Anomaly Detection Techniques and Applications 10
- Algorithms and Data Compression 8
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- Data Mining Algorithms and Applications 16
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- Rough Sets and Fuzzy Logic 7
- Co-authors
- George KolliosIsak KarlssonDimitrios GunopulosHenrik BoströmVassilis AthitsosStan SclaroffKai PuolamäkiMichalis Potamias
- Journals
- European Heart Journal (2 papers)Expert Systems with Applications (1 paper)IEEE Signal Processing Magazine (1 paper)
- Partner nations
- SwedenFinlandUnited States
In The Last Decade
Panagiotis Papapetrou
86 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Signal Processing 514
- Health Informatics 61
- Artificial Intelligence 594
- Health Information Management 59
- Computer Science Applications 59
Countries citing papers authored by Panagiotis Papapetrou
This map shows the geographic impact of Panagiotis Papapetrou'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 Panagiotis Papapetrou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panagiotis Papapetrou more than expected).
Fields of papers citing papers by Panagiotis Papapetrou
This network shows the impact of papers produced by Panagiotis Papapetrou. 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 Panagiotis Papapetrou. The network helps show where Panagiotis Papapetrou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Panagiotis Papapetrou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 67 | |
| 14 | 2020 | 1 | |
| 15 | 2019 | 30 | |
| 16 | 2019 | 5 | |
| 17 | Learning from Administrative Health Registries | 2017 | 1 |
| 18 | 2017 | 4 | |
| 19 | 2012 | 2 | |
| 20 | 2008 | 45 |
About Panagiotis Papapetrou
Panagiotis Papapetrou is a scholar working on Signal Processing, Artificial Intelligence and Health Informatics, having authored 94 papers that have together received 1.3k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (30 papers), Data Management and Algorithms (17 papers), Data Mining Algorithms and Applications (16 papers), Machine Learning in Healthcare (14 papers), Music and Audio Processing (13 papers), Anomaly Detection Techniques and Applications (10 papers), Algorithms and Data Compression (8 papers) and Rough Sets and Fuzzy Logic (7 papers). The work is most often cited by research in Signal Processing (514 citations), Health Informatics (61 citations) and Artificial Intelligence (594 citations). Panagiotis Papapetrou has collaborated with scholars based in Sweden, Finland and United States. Frequent co-authors include George Kollios, Isak Karlsson, Dimitrios Gunopulos, Henrik Boström, Vassilis Athitsos, Stan Sclaroff, Kai Puolamäki, Michalis Potamias, Lars Asker and Jefrey Lijffijt. Their work appears in journals such as European Heart Journal, Expert Systems with Applications and IEEE Signal Processing Magazine.
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.