João Sequeira

902 total citations
72 papers, 474 citations indexed

About

João Sequeira is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, João Sequeira has authored 72 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 18 papers in Control and Systems Engineering and 18 papers in Artificial Intelligence. Recurrent topics in João Sequeira's work include Robotic Path Planning Algorithms (16 papers), Control and Dynamics of Mobile Robots (9 papers) and Robotics and Sensor-Based Localization (8 papers). João Sequeira is often cited by papers focused on Robotic Path Planning Algorithms (16 papers), Control and Dynamics of Mobile Robots (9 papers) and Robotics and Sensor-Based Localization (8 papers). João Sequeira collaborates with scholars based in Portugal, France and United Kingdom. João Sequeira's co-authors include Fernándo Alonso-Martín, Miguel Á. Salichs, María Malfáz, M. O. Tokhi, Endre E. Kádár, G.S. Virk, Matthijs T. J. Spaan, Rodrigo Ventura, Antonios Tsourdos and Pedro U. Lima and has published in prestigious journals such as Expert Systems with Applications, Sensors and Advances in experimental medicine and biology.

In The Last Decade

João Sequeira

61 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
João Sequeira Portugal	14	121	116	87	83	80	72	474
Aleksandar Jevtić Spain	13	155 1.3×	127 1.1×	119 1.4×	80 1.0×	65 0.8×	36	450
Ramviyas Parasuraman United States	14	88 0.7×	81 0.7×	73 0.8×	80 1.0×	71 0.9×	62	536
Jonathan M. Aitken United Kingdom	13	63 0.5×	102 0.9×	84 1.0×	61 0.7×	115 1.4×	40	495
Eric Martinson United States	12	135 1.1×	98 0.8×	56 0.6×	42 0.5×	77 1.0×	37	393
Travis Deyle United States	14	94 0.8×	76 0.7×	115 1.3×	77 0.9×	79 1.0×	22	496
Trung Dung Ngo Canada	10	204 1.7×	71 0.6×	126 1.4×	97 1.2×	69 0.9×	67	489
Norihiro Hagita Japan	10	143 1.2×	108 0.9×	147 1.7×	43 0.5×	173 2.2×	16	422
Phillip Walker United States	11	100 0.8×	120 1.0×	83 1.0×	167 2.0×	163 2.0×	27	546
Mark Micire United States	11	164 1.4×	35 0.3×	100 1.1×	154 1.9×	58 0.7×	19	433
Hooman Samani Taiwan	14	155 1.3×	117 1.0×	112 1.3×	40 0.5×	155 1.9×	68	668

Countries citing papers authored by João Sequeira

Since Specialization

Citations

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

Fields of papers citing papers by João Sequeira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Sequeira

This figure shows the co-authorship network connecting the top 25 collaborators of João Sequeira. A scholar is included among the top collaborators of João Sequeira 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 João Sequeira. João Sequeira 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

Sequeira, João, et al.. (2023). Tuning path tracking controllers for autonomous cars using reinforcement learning. PeerJ Computer Science. 9. e1550–e1550. 4 indexed citations

Alonso-Martín, Fernándo, et al.. (2022). Asynchronous federated learning system for human–robot touch interaction. Expert Systems with Applications. 211. 118510–118510. 14 indexed citations

Guerreiro, Sérgio, et al.. (2020). BlockRobot: Increasing Privacy in Human Robot Interaction by Using Blockchain. 106–115. 13 indexed citations

Sequeira, João. (2019). Developing a Social Robot – A Case Study. Advances in experimental medicine and biology. 1170. 103–125. 1 indexed citations

Sequeira, João, Teresa Gonçalves, Paulo Quaresma, Amália Mendes, & Iris Hendrickx. (2018). A Multi- versus a Single-classifier Approach for the Identification of Modality in the Portuguese Language. Language Resources and Evaluation. 1000–1005.

Sequeira, João, et al.. (2017). A Probabilistic Approach to RFID-Based Localization for Human-Robot Interaction in Social Robotics. Electronics. 6(2). 32–32. 4 indexed citations

Lourenço, Ana F., et al.. (2015). Improving Paper Mechanical Properties Using Silica-modified Ground Calcium Carbonate as Filler. BioResources. 10(4). 20 indexed citations

Sequeira, João, Nuno Miranda, Teresa Gonçalves, & Paulo Quaresma. (2014). TeamUEvora at CLEF eHealth 2014 Task2a. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 156–166.

Sequeira, João, et al.. (2014). The Concept of [Robot] in Children and Teens. RePEc: Research Papers in Economics. 3(2). 43–57.

10.

Sequeira, João, et al.. (2013). A Stability Analysis for a Dynamical Robot Control Architecture. IFAC Proceedings Volumes. 46(10). 225–230. 2 indexed citations

11.

Santos, Cristina P., et al.. (2013). Eye tracking system using particle filters. 1–4. 1 indexed citations

12.

Silva, Juarez Bento da, Cristina P. Santos, & João Sequeira. (2013). Developing a timed navigation architecture for hospital delivery robots. RepositóriUM (Universidade do Minho). 1–4. 3 indexed citations

13.

Silva, J. Fernando, et al.. (2010). Transmission line inspection robots: Design of the power supply system. 1–6. 8 indexed citations

14.

Suviseshamuthu, Easter S., et al.. (2009). Accurate Estimation of ICA Weight Matrix by Implicit Constraint Imposition Using Lie Group. IEEE Transactions on Neural Networks. 20(10). 1565–1580. 2 indexed citations

15.

Sequeira, João, et al.. (2009). Robust covariance estimation in sensor data fusion. 1–7. 2 indexed citations

16.

Sequeira, João. (2008). Architectural Aspects of Networked Robotic Systems. 41. 83–88. 2 indexed citations

17.

Suviseshamuthu, Easter S., et al.. (2006). Parameter Estimation in Stochastic Mammogram Model by Heuristic Optimization Techniques. IEEE Transactions on Information Technology in Biomedicine. 10(4). 685–695. 17 indexed citations

18.

Santos, Ricardo, et al.. (2003). Lymphadenitis Caused by Aerococcus urinae Infection. Scandinavian Journal of Infectious Diseases. 35(5). 353–354. 14 indexed citations

19.

Sequeira, João, et al.. (2003). The Development of a Robotic System for Maintenance and Inspection of Power Lines. 17 indexed citations

20.

Sequeira, João, et al.. (2002). Contour segmentation using Hough transform. 3. 583–586. 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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