João Mendes

950 total citations
8 papers, 44 citations indexed

About

João Mendes is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, João Mendes has authored 8 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in João Mendes's work include Robotics and Sensor-Based Localization (3 papers), Robotic Path Planning Algorithms (2 papers) and IoT and Edge/Fog Computing (1 paper). João Mendes is often cited by papers focused on Robotics and Sensor-Based Localization (3 papers), Robotic Path Planning Algorithms (2 papers) and IoT and Edge/Fog Computing (1 paper). João Mendes collaborates with scholars based in Portugal, Netherlands and Italy. João Mendes's co-authors include Rodrigo Ventura, D. Bortoluzzi, José Lima, Nuno Rodrigues, Lino Costa, Ana I. Pereira, Paulo Costa, Óscar Dias, Felipe N. Martins and Eugénio C. Ferreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and BMC Bioinformatics.

In The Last Decade

João Mendes

8 papers receiving 42 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
João Mendes Portugal	5	19	18	10	10	8	8	44
Thorsten Linder Germany	3	24 1.3×	16 0.9×	9 0.9×	10 1.0×	6 0.8×	3	45
Pantelis Poulakis Netherlands	4	36 1.9×	14 0.8×	2 0.2×	6 0.6×	6 0.8×	8	50
C. Pérez del Pulgar Spain	4	28 1.5×	18 1.0×	3 0.3×	5 0.5×	5 0.6×	9	52
Anusha Nagabandi United States	4	11 0.6×	8 0.4×	4 0.4×	14 1.4×	12 1.5×	6	54
Karol Jędrasiak Poland	4	15 0.8×	8 0.4×	4 0.4×	5 0.5×	10 1.3×	19	53
Hui Yuan China	5	14 0.7×	10 0.6×	14 1.4×	4 0.4×	13 1.6×	14	58
Leslie Keely United States	4	12 0.6×	15 0.8×	3 0.3×	4 0.4×	3 0.4×	9	36
Gautam Salhotra United States	4	22 1.2×	35 1.9×	9 0.9×	21 2.1×		8	63
H. M. Hu China	3	11 0.6×	10 0.6×	5 0.5×	3 0.3×	14 1.8×	6	43
Felix Werner Germany	4	7 0.4×	4 0.2×	13 1.3×	2 0.2×	15 1.9×	10	55

Countries citing papers authored by João Mendes

Since Specialization

Citations

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

Fields of papers citing papers by João Mendes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Mendes

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

All Works

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8 of 8 papers shown

1.

Mendes, João, José Lima, Lino Costa, Nuno Rodrigues, & Ana I. Pereira. (2024). Deep learning networks for olive cultivar identification: A comprehensive analysis of convolutional neural networks. SHILAP Revista de lepidopterología. 8. 100470–100470. 4 indexed citations

2.

Mendes, João, Felipe N. Martins, André Schneider de Oliveira, et al.. (2023). A Machine Learning Approach to Robot Localization Using Fiducial Markers in RobotAtFactory 4.0 Competition. Sensors. 23(6). 3128–3128. 4 indexed citations

3.

Brito, Thadeu, et al.. (2023). Data Acquisition Filtering Focused on Optimizing Transmission in a LoRaWAN Network Applied to the WSN Forest Monitoring System. Sensors. 23(3). 1282–1282. 4 indexed citations

4.

Bortoluzzi, D., et al.. (2021). Investigation of the in-flight anomalies of the LISA Pathfinder Test Mass release mechanism. Advances in Space Research. 68(6). 2600–2615. 13 indexed citations

5.

Mendes, João, et al.. (2019). SamPler – a novel method for selecting parameters for gene functional annotation routines. BMC Bioinformatics. 20(1). 454–454. 2 indexed citations

6.

Mendes, João, et al.. (2015). Prediction-based connection manager for vehicular networks. 353–358. 1 indexed citations

7.

Mendes, João & Rodrigo Ventura. (2013). Assisted teleoperation of quadcopters using obstacle avoidance. Journal of Automation Mobile Robotics & Intelligent Systems. 9 indexed citations

8.

Mendes, João & Rodrigo Ventura. (2012). Safe teleoperation of a quadrotor using FastSLAM. 1–6. 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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