Mats Rydström

607 total citations
34 papers, 446 citations indexed

About

Mats Rydström is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mats Rydström has authored 34 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 23 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Mats Rydström's work include Indoor and Outdoor Localization Technologies (26 papers), Energy Efficient Wireless Sensor Networks (12 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). Mats Rydström is often cited by papers focused on Indoor and Outdoor Localization Technologies (26 papers), Energy Efficient Wireless Sensor Networks (12 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). Mats Rydström collaborates with scholars based in Sweden, Italy and Türkiye. Mats Rydström's co-authors include Erik G. Ström, Henk Wymeersch, Mohammad Gholami, Arne Svensson, Canan Aydoğdu, Musa Furkan Keskin, Hans Hellsten, A. Svensson, Sinan Gezici and Emil Nilsson and has published in prestigious journals such as IEEE Transactions on Signal Processing, Sustainability and IEEE Signal Processing Magazine.

In The Last Decade

Mats Rydström

32 papers receiving 427 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mats Rydström Sweden 12 326 169 146 98 85 34 446
L. Wiebking Germany 4 397 1.2× 146 0.9× 150 1.0× 59 0.6× 143 1.7× 6 444
P. Pivato Italy 9 284 0.9× 129 0.8× 91 0.6× 49 0.5× 114 1.3× 10 326
Jiabao Gao China 11 433 1.3× 163 1.0× 213 1.5× 117 1.2× 43 0.5× 22 614
Enyang Xu United States 7 388 1.2× 271 1.6× 56 0.4× 158 1.6× 109 1.3× 10 459
Hanxiao Yu China 11 532 1.6× 144 0.9× 271 1.9× 113 1.2× 33 0.4× 27 685
Yubo Wan China 6 528 1.6× 182 1.1× 346 2.4× 51 0.5× 54 0.6× 11 738
Marzieh Dashti Finland 10 342 1.0× 109 0.6× 84 0.6× 42 0.4× 115 1.4× 28 395
Jani Saloranta Finland 10 477 1.5× 131 0.8× 233 1.6× 40 0.4× 51 0.6× 27 569
Soheil Salari Iran 13 330 1.0× 224 1.3× 63 0.4× 34 0.3× 57 0.7× 50 422
Lixiang Lian China 10 286 0.9× 111 0.7× 111 0.8× 51 0.5× 25 0.3× 27 411

Countries citing papers authored by Mats Rydström

Since Specialization
Citations

This map shows the geographic impact of Mats Rydström'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 Mats Rydström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mats Rydström more than expected).

Fields of papers citing papers by Mats Rydström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mats Rydström. 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 Mats Rydström. The network helps show where Mats Rydström may publish in the future.

Co-authorship network of co-authors of Mats Rydström

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Rydström. A scholar is included among the top collaborators of Mats Rydström 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 Mats Rydström. Mats Rydström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aydoğdu, Canan, et al.. (2021). Synchronization-Free RadChat for Automotive Radar Interference Mitigation. Sustainability. 13(12). 6891–6891. 2 indexed citations
2.
Aydoğdu, Canan, Henk Wymeersch, & Mats Rydström. (2020). Can Automotive Radars Form Vehicular Networks?. Chalmers Research (Chalmers University of Technology). 1–6. 1 indexed citations
3.
Gholami, Mohammad, Erik G. Ström, Henk Wymeersch, & Mats Rydström. (2014). On geometric upper bounds for positioning algorithms in wireless sensor networks. Signal Processing. 111. 179–193. 8 indexed citations
4.
Gholami, Mohammad, Henk Wymeersch, Erik G. Ström, & Mats Rydström. (2011). Wireless network positioning as a convex feasibility problem. EURASIP Journal on Wireless Communications and Networking. 2011(1). 37 indexed citations
5.
Gholami, Mohammad, Sinan Gezici, Erik G. Ström, & Mats Rydström. (2011). Positioning algorithms for cooperative networks in the presence of an unknown turn-around time. Chalmers Research (Chalmers University of Technology). 166–170. 11 indexed citations
6.
Gholami, Mohammad, Sinan Gezici, Erik G. Ström, & Mats Rydström. (2011). Hybrid TW-TOA/TDOA Positioning Algorithms for Cooperative Wireless Networks. Bilkent University Institutional Repository (Bilkent University). 1–5. 14 indexed citations
7.
Gholami, Mohammad, Erik G. Ström, Francesco Sottile, et al.. (2010). Static positioning using UWB range measurements. Chalmers Publication Library (Chalmers University of Technology). 1–10. 8 indexed citations
8.
Gholami, Mohammad, Mats Rydström, & Erik G. Ström. (2010). Positioning of Node Using Plane Projection onto Convex Sets. Chalmers Research (Chalmers University of Technology). 1–5. 13 indexed citations
9.
Rydström, Mats. (2008). Algorithms and Models for Positioning and Scheduling in Wireless Sensor Networks. Chalmers Publication Library (Chalmers University of Technology). 6 indexed citations
10.
Rydström, Mats, Luca Reggiani, Erik G. Ström, & A. Svensson. (2008). Suboptimal Soft Range Estimators With Applications in UWB Sensor Networks. IEEE Transactions on Signal Processing. 56(10). 4856–4866. 11 indexed citations
11.
Reggiani, Luca, Mats Rydström, Erik G. Ström, & A. Svensson. (2008). An algorithm for mapping the positions of point scatterers. Chalmers Research (Chalmers University of Technology). 1. 63–67. 3 indexed citations
12.
Rydström, Mats, Luca Reggiani, Erik G. Ström, & Arne Svensson. (2007). Adapting the Ranging Algorithm to the Positioning Technique in UWB Sensor Networks. Wireless Personal Communications. 47(1). 27–38. 7 indexed citations
13.
Rydström, Mats, Erik G. Ström, & Arne Svensson. (2006). Robust Sensor Network Positioning Based on Projections onto Circular and Hyperbolic Convex Sets (POCS). Chalmers Research (Chalmers University of Technology). 1–5. 36 indexed citations
14.
Rydström, Mats, et al.. (2006). Autonomous Positioning Techniques Based on Cramér-Rao Lower Bound Analysis. EURASIP Journal on Advances in Signal Processing. 2006(1). 6 indexed citations
15.
Rydström, Mats. (2005). Positioning and Tracking in Asynchronous Wireless Sensor Networks. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
16.
Rydström, Mats, et al.. (2005). TOWARDS A WIRELESS NETWORK FOR TRAFFIC SAFETY APPLICATIONS. Chalmers Publication Library (Chalmers University of Technology). 10 indexed citations
17.
Rydström, Mats, et al.. (2005). A Low Complexity Algorithm for Sensor Localization. Chalmers Publication Library (Chalmers University of Technology). 1–5. 5 indexed citations
18.
Rydström, Mats, Erik G. Ström, & A. Svensson. (2005). Clock-offset cancellation methods for positioning in asynchronous sensor networks. Chalmers Research (Chalmers University of Technology). 2. 981–986. 11 indexed citations
19.
Rydström, Mats, et al.. (2005). Low complexity tracking for ad-hoc automotive sensor networks. Chalmers Research (Chalmers University of Technology). 5. 585–591. 6 indexed citations
20.
Rydström, Mats, et al.. (2004). Node-aided Locationing and Tracking for Low Cost Ad-hoc Automotive Sensor Networks. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations

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.

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