Eric T. Matson

1.8k total citations
106 papers, 1.1k citations indexed

About

Eric T. Matson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Eric T. Matson has authored 106 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 18 papers in Computer Networks and Communications. Recurrent topics in Eric T. Matson's work include Video Surveillance and Tracking Methods (14 papers), Multi-Agent Systems and Negotiation (13 papers) and Modular Robots and Swarm Intelligence (11 papers). Eric T. Matson is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Multi-Agent Systems and Negotiation (13 papers) and Modular Robots and Swarm Intelligence (11 papers). Eric T. Matson collaborates with scholars based in United States, South Korea and Kazakhstan. Eric T. Matson's co-authors include Scott A. DeLoach, Byung‐Cheol Min, Lyazzat Ilipbayeva, Ulzhalgas Seidaliyeva, J. Eric Dietz, John C. Gallagher, Marcus Rogers, Hyun Tae Hwang, Anthony Smith and Abdelghani Chibani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Measurement.

In The Last Decade

Eric T. Matson

96 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric T. Matson United States	17	326	265	261	174	146	106	1.1k
Yutong Wang China	21	344 1.1×	133 0.5×	247 0.9×	106 0.6×	152 1.0×	100	1.2k
Yonglin Tian China	21	555 1.7×	143 0.5×	313 1.2×	137 0.8×	230 1.6×	64	1.5k
Raj Madhavan United States	13	226 0.7×	226 0.9×	249 1.0×	82 0.5×	195 1.3×	83	752
Štěpán Hubálovský Czechia	16	195 0.6×	116 0.4×	490 1.9×	159 0.9×	123 0.8×	52	1.3k
Petrus Mursanto Indonesia	15	263 0.8×	146 0.6×	151 0.6×	128 0.7×	95 0.7×	89	850
Yu Bo China	15	350 1.1×	214 0.8×	145 0.6×	308 1.8×	144 1.0×	66	1.0k
Basit Qureshi Saudi Arabia	22	237 0.7×	241 0.9×	363 1.4×	523 3.0×	182 1.2×	74	1.4k
Martín Molina Spain	17	295 0.9×	271 1.0×	237 0.9×	229 1.3×	149 1.0×	77	1.0k
Zhong Liu China	22	399 1.2×	507 1.9×	247 0.9×	272 1.6×	97 0.7×	105	1.6k
Shen Wang Ireland	15	154 0.5×	178 0.7×	200 0.8×	269 1.5×	213 1.5×	67	1.2k

Countries citing papers authored by Eric T. Matson

Since Specialization

Citations

This map shows the geographic impact of Eric T. Matson'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 Eric T. Matson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Matson more than expected).

Fields of papers citing papers by Eric T. Matson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric T. Matson. 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 Eric T. Matson. The network helps show where Eric T. Matson may publish in the future.

Co-authorship network of co-authors of Eric T. Matson

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

All Works

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20 of 20 papers shown

Seidaliyeva, Ulzhalgas, et al.. (2025). LiDAR Technology for UAV Detection: From Fundamentals and Operational Principles to Advanced Detection and Classification Techniques. Sensors. 25(9). 2757–2757. 4 indexed citations

Matson, Eric T., et al.. (2024). The development of a model for the threat detection system with the use of machine learning and neural network methods. International Journal of Innovative Research and Scientific Studies. 7(3). 863–877. 5 indexed citations

Matson, Eric T., et al.. (2023). A 15-Category Audio Dataset for Drones and an Audio-Based UAV Classification Using Machine Learning. International Journal of Semantic Computing. 18(2). 257–272. 3 indexed citations

Matson, Eric T., et al.. (2023). Agent-Based Collaborative Random Search for Hyperparameter Tuning and Global Function Optimization. Systems. 11(5). 228–228. 11 indexed citations

Matson, Eric T., et al.. (2023). How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion. 877–884. 5 indexed citations

Lee, Hyunjun, et al.. (2020). Target Distance Calculation Method Using Image Segmentation. 1–4.

Li, Shulin, et al.. (2018). Convolutional Neural Networks for Analyzing Unmanned Aerial Vehicles Sound. International Conference on Control, Automation and Systems. 5 indexed citations

Kim, Miae, et al.. (2018). A HARMS-based heterogeneous human-robot team for gathering and collecting. 2(3). 201–217. 3 indexed citations

Kim, Seonhee, et al.. (2018). An Approach for Reducing Computational Time for Real-Time Autonomous Vehicle Tracking. International Conference on Control, Automation and Systems. 4 indexed citations

10.

Chibani, Abdelghani, et al.. (2018). IoRT cloud survivability framework for robotic AALs using HARMS. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

11.

Dietz, J. Eric, et al.. (2016). Simulation modeling of a statistical fire spread to respond fire accident in buildings. 1–6. 3 indexed citations

12.

Kim, Jong-Hwan, Eric T. Matson, Hyun Myung, Wei Xu, & Fakhri Karray. (2014). Robot Intelligence Technology and Applications 2: Results from the 2nd International Conference on Robot Intelligence Technology and Applications. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations

13.

Kim, Jong-Hwan, Eric T. Matson, & Hyun Myung. (2013). Robot Intelligence Technology and Applications 2012: An Edition of the Presented Papers from the 1st International Conference on Robot Intelligence Technology and Applications. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations

14.

Wachs, Juan, et al.. (2010). “A window on tissue” - Using facial orientation to control endoscopic views of tissue depth. PubMed. 2010. 935–938. 3 indexed citations

15.

Boissier, Olivier, Julián Padget, Virginia Dignum, et al.. (2006). Coordination, Organizations, Institutions, and Norms in Multi-Agent Systems : AAMAS 2005 International Workshops on Agents, Norms and Institutions for Regulated Multi-Agent Systems, ANIREM 2005 and From Organizations to Organization-Oriented Programming in Multi-Agent Systems, OOOP 2005, Utrecht, The Netherlands, July 25-26, 2005 : revised selected papers. Springer eBooks.

16.

Prusak, Laurence & Eric T. Matson. (2006). Knowledge Management and Organizational Learning: A Reader. Oxford University Press eBooks. 17 indexed citations

17.

Matson, Eric T., et al.. (2004). Building Interest in Math and Science for Rural and Underserved Elementary School Children Using Robots. Journal of STEM education. 5(3). 35–46. 22 indexed citations

18.

Matson, Eric T. & Scott A. DeLoach. (2004). Integrating Robotic Sensor and Effector Capabilities with Multi-Agent Organizations. Defense Technical Information Center (DTIC). 481–488. 4 indexed citations

19.

DeLoach, Scott A., Eric T. Matson, & Yonghua Li. (2002). Applying Agent Oriented Software Engineering to Cooperative Robotics. The Florida AI Research Society. 391–396. 20 indexed citations

20.

Foote, Nathaniel, et al.. (2001). Managing the Knowledge Manager. The McKinsey Quarterly. 120. 11 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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