Javaan Chahl

6.8k citations
205 papers · 4.2k indexed · 1 hit paper · h-index 35

Javaan Chahl

199 papers receiving 4.0k citations

Hit Papers

Hand Gesture Recognition Based on Computer Vision: A Revi...3602020202620222024100200300

Peers

Javaan Chahl
Comparison fields: 5 of 178
  • Human-Computer Interaction 387
  • Computer Vision and Pattern Recognition 1.4k
  • Aerospace Engineering 1.2k
  • Cellular and Molecular Neuroscience 518
  • Biomedical Engineering 963
Replace Michele Magno with:
Michele Magno Switzerland
David A. Ross United States
Erhardt Barth Germany
Osamu Hasegawa Japan
Sethu Vijayakumar United Kingdom
Qiang Huang China
Wout Joseph Belgium
Florentin Wörgötter Germany
T. Serre United States
Dezhi Zheng China
Javaan Chahl relative to Michele Magno Switzerland Michele Magno's profile →
Citations per field
00.5×5.2×
Michele Magno · 1×
Citations per year

Countries citing papers authored by Javaan Chahl

Since Specialization
Citations

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

Fields of papers citing papers by Javaan Chahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20231
4 20235
5 20239
6 20232
7 20232
8 20223
9 20221
10 20228
11 20211
12 202111
13 202021
14 202065
15 20075
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Biologically inspired guidance for motion camouflage
200419
17
Mars exploration using biomorphic flyers
20022
18
Linear Combinations of Optic Flow Vectors for Estimating Self-Motion - a Real-World Test of a Neural Model
20023
19 200263
20
Centering behavior for mobile robots using insect based cues
19953

About Javaan Chahl

Javaan Chahl is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 205 papers that have together received 4.2k indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (39 papers), Non-Invasive Vital Sign Monitoring (29 papers), Advanced Vision and Imaging (28 papers), Robotics and Sensor-Based Localization (24 papers), Neurobiology and Insect Physiology Research (18 papers), Heart Rate Variability and Autonomic Control (14 papers), Visual perception and processing mechanisms (12 papers) and Smart Agriculture and AI (10 papers). The work is most often cited by research in Human-Computer Interaction (387 citations), Computer Vision and Pattern Recognition (1.4k citations) and Aerospace Engineering (1.2k citations). Javaan Chahl has collaborated with scholars based in Australia, Iraq and United States. Frequent co-authors include Ali Al‐Naji, Mandyam V. Srinivasan, Munir Oudah, Sang‐Heon Lee, Shaowu Zhang, Akiko Mizutani, Asanka G. Perera, Martin I. Hofmann, Jochen Zeil and Huajian Liu. Their work appears in journals such as Sensors, Applied Sciences, Journal of the Optical Society of America A, Energies and IEEE Access.

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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