Tobias Rydén
- Artificial Intelligence top 5%
- Finance top 2%
- Statistics and Probability top 1%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Timo TeräsvirtaPeter J. BickelYa’acov RitovÉric MoulinesOlivier CappéMagnus WiktorssonGöran BengtssonAntonello Maruotti
- Topics
- Bayesian Methods and Mixture Models (13 papers)Target Tracking and Data Fusion in Sensor Networks (5 papers)Advanced Queuing Theory Analysis (4 papers)
- Partner nations
- SwedenUnited StatesFrance
In The Last Decade
Tobias Rydén
25 papers receiving 987 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 430
- Finance 334
- Statistics and Probability 268
- Economics and Econometrics 221
- Management Science and Operations Research 103
Countries citing papers authored by Tobias Rydén
This map shows the geographic impact of Tobias Rydén'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 Tobias Rydén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Rydén more than expected).
Fields of papers citing papers by Tobias Rydén
This network shows the impact of papers produced by Tobias Rydén. 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 Tobias Rydén. The network helps show where Tobias Rydén may publish in the future.
Co-authorship network of co-authors of Tobias Rydén
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Rydén. A scholar is included among the top collaborators of Tobias Rydén 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 Tobias Rydén. Tobias Rydén 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 | 12 | |
| 3 | 12 | |
| 4 | 38 | |
| 5 | 19 | |
| 6 | 156 | |
| 7 | 21 | |
| 8 | 41 | |
| 9 | The bootstrap particle filtering bias | 1 |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 27 | |
| 14 | 42 | |
| 15 | 195 | |
| 16 | 241 | |
| 17 | 5 | |
| 18 | Stylized Facts of Daily Return Series and the Hidden Markov Model | 5 |
| 19 | Consistent and Asymptotically Normal Parameter Estimates for Markov Modulated Poisson Processes | 13 |
| 20 | 46 |
About Tobias Rydén
Tobias Rydén is a scholar working on Statistics and Probability, Artificial Intelligence and Management Information Systems, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (13 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Advanced Queuing Theory Analysis (4 papers). The work is most often cited by research in Finance (334 citations), Statistics and Probability (268 citations) and Artificial Intelligence (430 citations). Tobias Rydén has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Timo Teräsvirta, Peter J. Bickel, Ya’acov Ritov, Éric Moulines, Olivier Cappé, Magnus Wiktorsson, Göran Bengtsson, Antonello Maruotti, Elna J. K. Nilsson and Paolo Giudici. Their work appears in journals such as Biometrics, IEEE Transactions on Communications and The Annals of Statistics.
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.