Lino Marques

4.6k citations
160 papers · 2.4k · h-index 26

Impact in

Papers in

    • Advanced Chemical Sensor Technologies 34
    • Soft Robotics and Applications 17
    • Robotic Locomotion and Control 13
    • Insect Pheromone Research and Control 41

Lino Marques

148 papers receiving 2.3k citations

Peers

Lino Marques
Comparison fields: 5 of 120
  • Insect Science 662
  • Biomedical Engineering 1.1k
  • Sensory Systems 100
  • Control and Systems Engineering 473
  • Computer Vision and Pattern Recognition 398
Replace Tien‐Fu Lu with:
Tien‐Fu Lu Australia
Shugen Ma Japan
Robert B. McGhee United States
Jordi Palacín Spain
Dorit Merhof Germany
Francesco Grasso Italy
Kam K. Leang United States
Shaoze Yan China
M. Buehler United States
Gilles Caprari Switzerland
Lino Marques relative to Tien‐Fu Lu Australia Tien‐Fu Lu's profile →
Citations per field
00.5×6.7×
Tien‐Fu Lu · 1×
Citations per year

Countries citing papers authored by Lino Marques

Since Specialization
Citations

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

Fields of papers citing papers by Lino Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lino Marques, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lino Marques Line = papers co-authored together Lino Marques links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002156
2 2006149
3 2013113
4 200978
5 201373
6 201372
7 200870
8 201054
9 201152
10 202050
11 201448
12 202247
13 201246
14 201045
15 200442
16 201339
17 201437
18 201034
19 201534
20 200532

About Lino Marques

Lino Marques is a scholar working on Biomedical Engineering, Insect Science, Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 160 papers that have together received 2.4k indexed citations. Recurring topics across this work include Insect Pheromone Research and Control (41 papers), Advanced Chemical Sensor Technologies (34 papers), Robotic Path Planning Algorithms (24 papers), Robotics and Sensor-Based Localization (23 papers), Soft Robotics and Applications (17 papers), Neurobiology and Insect Physiology Research (15 papers), Robotic Locomotion and Control (13 papers) and Robot Manipulation and Learning (13 papers). The work is most often cited by research in Insect Science (662 citations), Biomedical Engineering (1.1k citations), Sensory Systems (100 citations), Control and Systems Engineering (473 citations) and Computer Vision and Pattern Recognition (398 citations). Lino Marques has collaborated with scholars based in Portugal, Spain and United States. Frequent co-authors include Anı́bal T. de Almeida, Sedat Dogru, Ali Marjovi, Mahmoud Tavakoli, Urbano Nunes, Carlos Viegas, J. Norberto Pires, David Portugal, Veysel Gazi and Matthew Dunbabin. Their work appears in journals such as IEEE Robotics & Automation Magazine, Autonomous Robots, Robotics and Autonomous Systems, IEEE Robotics and Automation Letters and Sensors.

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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