Javier Monroy

61 papers receiving 1.1k citations

Peers

Javier Monroy
Comparison fields: 5 of 112
  • Insect Science 487
  • Sensory Systems 103
  • Medical Laboratory Technology 29
  • Biomedical Engineering 529
  • Industrial and Manufacturing Engineering 96
Replace Erik Schaffernicht with:
Erik Schaffernicht Sweden
Marco Trincavelli Sweden
Xinxing Chen China
José-Raúl Ruiz-Sarmiento Spain
Benyamin Kusumoputro Indonesia
Dimitri V. Zarzhitsky United States
Ata Jahangir Moshayedi China
Ali Marjovi Switzerland
Dani Martínez Spain
Kamarulzaman Kamarudin Malaysia
Javier Monroy relative to Erik Schaffernicht Sweden Erik Schaffernicht's profile →
Citations per field
00.5×2×4×6×8×9.7×
Erik Schaffernicht · 1×
Citations per year

Countries citing papers authored by Javier Monroy

Since Specialization
Citations

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

Fields of papers citing papers by Javier Monroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Monroy, 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 Javier Monroy Line = papers co-authored together Javier Monroy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019167
2 201188
3 201786
4 201585
5 201276
6 201845
7 202244
8 201643
9 202132
10 201629
11 201929
12 201325
13 201524
14 201324
15 201822
16 202022
17 201819
18 202217
19 201616
20 201916

About Javier Monroy

Javier Monroy is a scholar working on Insect Science, Biomedical Engineering, Sensory Systems, Computer Vision and Pattern Recognition and Process Chemistry and Technology, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Insect Pheromone Research and Control (37 papers), Advanced Chemical Sensor Technologies (35 papers), Olfactory and Sensory Function Studies (8 papers), Robotics and Sensor-Based Localization (8 papers), Social Robot Interaction and HRI (6 papers), Gas Sensing Nanomaterials and Sensors (6 papers), Context-Aware Activity Recognition Systems (5 papers) and Robotics and Automated Systems (4 papers). The work is most often cited by research in Insect Science (487 citations), Sensory Systems (103 citations), Medical Laboratory Technology (29 citations), Biomedical Engineering (529 citations) and Industrial and Manufacturing Engineering (96 citations). Javier Monroy has collaborated with scholars based in Spain, Sweden and Italy. Frequent co-authors include Javier González-Jiménez, Jose‐Luis Blanco, Francisco-Ángel Moreno, José-Raúl Ruiz-Sarmiento, Cipriano Galindo, Achim J. Lilienthal, Mariano Jaimez, Victor Hernandez Bennetts, Han Bai Fan and Nicola Basilico. Their work appears in journals such as Sensors, Robotics and Autonomous Systems, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and International Journal of Social Robotics.

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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