Tohid Ardeshiri
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Fredrik GustafssonHenri NurminenRobert PichéUmut OrgunerEmre ÖzkanMikael NorrlöfAnders HanssonJohan Löfberg
- Topics
- Target Tracking and Data Fusion in Sensor Networks (14 papers)Gaussian Processes and Bayesian Inference (9 papers)Control Systems and Identification (4 papers)
- Partner nations
- SwedenUnited KingdomTürkiye
In The Last Decade
Tohid Ardeshiri
21 papers receiving 405 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 268
- Control and Systems Engineering 196
- Aerospace Engineering 85
- Electrical and Electronic Engineering 68
- Computer Networks and Communications 53
Countries citing papers authored by Tohid Ardeshiri
This map shows the geographic impact of Tohid Ardeshiri'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 Tohid Ardeshiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tohid Ardeshiri more than expected).
Fields of papers citing papers by Tohid Ardeshiri
This network shows the impact of papers produced by Tohid Ardeshiri. 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 Tohid Ardeshiri. The network helps show where Tohid Ardeshiri may publish in the future.
Co-authorship network of co-authors of Tohid Ardeshiri
This figure shows the co-authorship network connecting the top 25 collaborators of Tohid Ardeshiri. A scholar is included among the top collaborators of Tohid Ardeshiri 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 Tohid Ardeshiri. Tohid Ardeshiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | {A central limit theorem with application to inference in $\alpha$-stable regression models} | 2 |
| 6 | Mean and covariance matrix of a multivariate normal distribution with one doubly-truncated component | 2 |
| 7 | 37 | |
| 8 | 21 | |
| 9 | Variational Iterations for Filtering and Smoothing with skew-t measurement noise | 3 |
| 10 | 4 | |
| 11 | 88 | |
| 12 | Variational Iterations for Smoothing with Unknown Process and Measurement Noise Covariances | 4 |
| 13 | 98 | |
| 14 | 15 | |
| 15 | An adaptive PHD filter for tracking with unknown sensor characteristics | 4 |
| 16 | On Reduction of Mixtures of the Exponential Family Distributions | 2 |
| 17 | On mixture reduction for multiple target tracking | 10 |
| 18 | Bicycle tracking using ellipse extraction | 5 |
| 19 | 34 | |
| 20 | 1 |
About Tohid Ardeshiri
Tohid Ardeshiri is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability, having authored 22 papers that have together received 413 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Gaussian Processes and Bayesian Inference (9 papers) and Control Systems and Identification (4 papers). The work is most often cited by research in Control and Systems Engineering (196 citations), Artificial Intelligence (268 citations) and Aerospace Engineering (85 citations). Tohid Ardeshiri has collaborated with scholars based in Sweden, United Kingdom and Türkiye. Frequent co-authors include Fredrik Gustafsson, Henri Nurminen, Robert Piché, Umut Orguner, Emre Özkan, Mikael Norrlöf, Anders Hansson, Johan Löfberg, Tianshi Chen and Lennart Ljung. Their work appears in journals such as Automatica, IEEE Transactions on Signal Processing and IEEE Signal Processing Letters.
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.