Mark Rutten

944 total citations
30 papers, 673 citations indexed

About

Mark Rutten is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Mark Rutten has authored 30 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Aerospace Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Mark Rutten's work include Target Tracking and Data Fusion in Sensor Networks (19 papers), Distributed Sensor Networks and Detection Algorithms (7 papers) and Indoor and Outdoor Localization Technologies (4 papers). Mark Rutten is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (19 papers), Distributed Sensor Networks and Detection Algorithms (7 papers) and Indoor and Outdoor Localization Technologies (4 papers). Mark Rutten collaborates with scholars based in Australia, Greece and United Kingdom. Mark Rutten's co-authors include Neil Gordon, Branko Ristić, Travis Bessell, Simon Maskell, Salil S. Kanhere, Sanjay Jha, Samuel J. Davey, Brian Cheung, Wen Hu and Gregory Cohen and has published in prestigious journals such as IEEE Transactions on Signal Processing, Remote Sensing and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Mark Rutten

29 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Rutten Australia 12 317 297 265 226 52 30 673
Sihao Zhao China 16 125 0.4× 305 1.0× 119 0.4× 283 1.3× 35 0.7× 43 588
Ali Jafarnia-Jahromi Canada 11 191 0.6× 634 2.1× 220 0.8× 467 2.1× 55 1.1× 19 822
Marcelo G. S. Bruno Brazil 13 400 1.3× 141 0.5× 206 0.8× 128 0.6× 59 1.1× 69 528
Vincent C. Vannicola United States 11 300 0.9× 152 0.5× 240 0.9× 125 0.6× 27 0.5× 31 512
Samuel J. Davey Australia 13 562 1.8× 412 1.4× 157 0.6× 87 0.4× 83 1.6× 56 723
Shau‐Shiun Jan Taiwan 16 153 0.5× 589 2.0× 62 0.2× 260 1.2× 54 1.0× 93 766
Weimin Jia China 19 148 0.5× 711 2.4× 137 0.5× 589 2.6× 95 1.8× 51 1.1k
Yaser Norouzi Iran 14 282 0.9× 298 1.0× 131 0.5× 309 1.4× 75 1.4× 68 744
Jérémie Houssineau United Kingdom 13 348 1.1× 184 0.6× 105 0.4× 54 0.2× 46 0.9× 48 450
Ershen Wang China 12 67 0.2× 262 0.9× 95 0.4× 129 0.6× 92 1.8× 83 499

Countries citing papers authored by Mark Rutten

Since Specialization
Citations

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

Fields of papers citing papers by Mark Rutten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Rutten

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Rutten. A scholar is included among the top collaborators of Mark Rutten 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 Mark Rutten. Mark Rutten 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.
Chin, Tat-Jun, et al.. (2020). Topological Sweep for Multi-Target Detection of Geostationary Space Objects. IEEE Transactions on Signal Processing. 68. 5166–5177. 19 indexed citations
2.
Cohen, Gregory, et al.. (2019). Event-based Sensing for Space Situational Awareness. The Journal of the Astronautical Sciences. 66(2). 125–141. 59 indexed citations
3.
Cheung, Brian, Mark Rutten, Samuel J. Davey, & Gregory Cohen. (2018). Probabilistic Multi Hypothesis Tracker for an Event Based Sensor. 1–8. 14 indexed citations
4.
Cohen, Gregory, et al.. (2017). Event-based Sensing for Space Situational Awareness. 25. 11 indexed citations
5.
Clarkson, I. Vaughan L., et al.. (2016). Catalogue Creation for Space Situational Awareness with Optical Sensors. Advanced Maui Optical and Space Surveillance Technologies Conference. 27. 7 indexed citations
6.
Gordon, Neil, et al.. (2016). Bayesian Methods in the Search for MH370. Springer briefs in electrical and computer engineering. 6 indexed citations
7.
Gordon, Neil, et al.. (2015). Dynamic Steering for Improved Sensor Autonomy and Catalogue Maintenance. Advanced Maui Optical and Space Surveillance Technologies Conference. 47. 3 indexed citations
8.
Eastment, J.D., Patrick Donnelly, Andrew Ash, et al.. (2014). Technical Description of Radar and Optical Sensors Contributing to Joint UK-Australian Satellite Tracking, Data-fusion and Cueing Experiment. amos. 6 indexed citations
9.
Donnelly, Patrick, Andrew Ash, J.D. Eastment, et al.. (2014). Joint UK-Australian Space Surveillance Target Tracking, Cueing and Sensor Data Fusion Experiment. Advanced Maui Optical and Space Surveillance Technologies Conference. 2 indexed citations
10.
Rutten, Mark, et al.. (2014). A Comparison of JPDA and Belief Propagation for Data Association in SSA. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 2 indexed citations
11.
Frazer, Gordon J., et al.. (2013). Orbit Determination Using a Decametric Line-of-Sight Radar. Advanced Maui Optical and Space Surveillance Technologies Conference. 3 indexed citations
12.
Davey, Samuel J., Mark Rutten, & Brian Cheung. (2012). Using Phase to Improve Track-Before-Detect. IEEE Transactions on Aerospace and Electronic Systems. 48(1). 832–849. 53 indexed citations
13.
Davey, Samuel J., Brian Cheung, & Mark Rutten. (2009). Track-Before-Detect for sensors with complex measurements. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 618–625. 7 indexed citations
14.
Ahmed, Nadeem, Yifei Dong, Salil S. Kanhere, et al.. (2008). Performance evaluation of a wireless sensor network based tracking system. 163–172. 9 indexed citations
15.
Ristić, Branko, Mark R. Morelande, Ajith Gunatilaka, & Mark Rutten. (2007). Search for a Radioactive Source: Coordinated Multiple Observers. 37. 239–244. 6 indexed citations
16.
Ahmed, Nadeem, Yifei Dong, Salil S. Kanhere, et al.. (2007). Detection and tracking using wireless sensor networks. 425–426. 11 indexed citations
17.
Rutten, Mark, Neil Gordon, & Simon Maskell. (2005). Recursive track-before-detect with target amplitude fluctuations. IEE Proceedings - Radar Sonar and Navigation. 152(5). 345–352. 104 indexed citations
18.
Rutten, Mark, Simon Maskell, Mark Briers, & Neil Gordon. (2004). <title>Multipath track association for over-the-horizon radar using Lagrangian relaxation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 12 indexed citations
19.
Rutten, Mark, et al.. (2003). Track fusion in over-the-horizon radar networks. 334–341. 1 indexed citations
20.
Rutten, Mark, et al.. (2000). Over-the-horizon radar multipath track fusion incorporating track history. 2755. TUC1/13–TUC1/19 vol.1. 7 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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