Usue Mori
Impact in
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Advanced Malware Detection Techniques
- Transportation top 2%
- Transportation Planning and Optimization
Papers in
-
- Time Series Analysis and Forecasting 15
- Advanced Malware Detection Techniques 3
-
- Anomaly Detection Techniques and Applications 13
- Imbalanced Data Classification Techniques 2
- Data Stream Mining Techniques 2
- Co-authors
- José A. Lozano (17 shared papers)Alexander Mendiburu (11 shared papers)Ángel Conde (4 shared papers)José Miguel-Alonso (4 shared papers)Sanjoy Dasgupta (1 shared paper)Eamonn Keogh (1 shared paper)Shujian Yu (1 shared paper)Simon Malinowski (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (3 papers)Information Sciences (2 papers)Data Mining and Knowledge Discovery (2 papers)Pattern Recognition (2 papers)Pervasive and Mobile Computing (1 paper)
- Partner nations
- SpainUnited StatesNorway
In The Last Decade
Usue Mori
24 papers receiving 818 citations
Peers
Comparison fields: 5 of 102
- Signal Processing 346
- Transportation 166
- Building and Construction 168
- Artificial Intelligence 379
- Computer Networks and Communications 168
Countries citing papers authored by Usue Mori
This map shows the geographic impact of Usue Mori'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 Usue Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Usue Mori more than expected).
Fields of papers citing papers by Usue Mori
This network shows the impact of papers produced by Usue Mori. 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 Usue Mori. The network helps show where Usue Mori may publish in the future.
Co-authors
The 20 scholars most cited alongside Usue Mori, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 183 | |
| 2 | 2021 | 137 | |
| 3 | 2020 | 78 | |
| 4 | 2017 | 65 | |
| 5 | 2016 | 64 | |
| 6 | 2015 | 57 | |
| 7 | 2020 | 50 | |
| 8 | 2016 | 48 | |
| 9 | 2021 | 28 | |
| 10 | 2022 | 28 | |
| 11 | 2019 | 28 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 6 | |
| 20 | A review on outlier/anomaly detection in time series data | 2020 | 4 |
About Usue Mori
Usue Mori is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research and Economics and Econometrics, having authored 24 papers that have together received 838 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (15 papers), Anomaly Detection Techniques and Applications (13 papers), Network Security and Intrusion Detection (6 papers), Complex Systems and Time Series Analysis (4 papers), Stock Market Forecasting Methods (4 papers), Advanced Malware Detection Techniques (3 papers), Imbalanced Data Classification Techniques (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Signal Processing (346 citations), Transportation (166 citations), Building and Construction (168 citations), Artificial Intelligence (379 citations) and Computer Networks and Communications (168 citations). Usue Mori has collaborated with scholars based in Spain, United States and Norway. Frequent co-authors include José A. Lozano, Alexander Mendiburu, Ángel Conde, José Miguel-Alonso, Sanjoy Dasgupta, Eamonn Keogh, Shujian Yu, Simon Malinowski, Shaghayegh Hamzehlou and Robert Jenssen. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Sciences, Data Mining and Knowledge Discovery, Pattern Recognition and Pervasive and Mobile Computing.
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.