Javaan Chahl

6.8k total citations · 1 hit paper
205 papers, 4.2k citations indexed

About

Javaan Chahl is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Javaan Chahl has authored 205 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Aerospace Engineering, 60 papers in Computer Vision and Pattern Recognition and 42 papers in Biomedical Engineering. Recurrent topics in Javaan Chahl's work include Biomimetic flight and propulsion mechanisms (39 papers), Non-Invasive Vital Sign Monitoring (29 papers) and Advanced Vision and Imaging (28 papers). Javaan Chahl is often cited by papers focused on Biomimetic flight and propulsion mechanisms (39 papers), Non-Invasive Vital Sign Monitoring (29 papers) and Advanced Vision and Imaging (28 papers). Javaan Chahl collaborates with scholars based in Australia, Iraq and United States. Javaan Chahl's co-authors include Ali Al‐Naji, Mandyam V. Srinivasan, Munir Oudah, Sang‐Heon Lee, Shaowu Zhang, Akiko Mizutani, Asanka G. Perera, Jochen Zeil, Martin I. Hofmann and Huajian Liu and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Javaan Chahl

199 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hand Gesture Recognition Based on Computer Vision: A Review of Techniques

2020 360 citations Munir Oudah, Ali Al‐Naji et al. Journal of Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Javaan Chahl Australia	35	1.4k	1.2k	963	518	387	205	4.2k
David A. Ross United States	34	2.8k 2.0×	450 0.4×	137 0.1×	539 1.0×	217 0.6×	131	5.9k
Michele Magno Switzerland	37	584 0.4×	457 0.4×	1.3k 1.3×	99 0.2×	143 0.4×	309	4.9k
Osamu Hasegawa Japan	34	1.5k 1.1×	281 0.2×	166 0.2×	148 0.3×	78 0.2×	273	4.8k
Auke Jan Ijspeert Switzerland	61	1.5k 1.1×	2.6k 2.2×	9.9k 10.3×	471 0.9×	324 0.8×	362	16.2k
Fumitoshi Matsuno Japan	40	1.1k 0.8×	961 0.8×	2.0k 2.1×	143 0.3×	192 0.5×	437	6.0k
Roger D. Quinn United States	43	344 0.2×	1.1k 0.9×	3.8k 3.9×	463 0.9×	68 0.2×	230	5.8k
Sethu Vijayakumar United Kingdom	38	1.1k 0.8×	306 0.3×	2.2k 2.3×	346 0.7×	249 0.6×	232	5.7k
Erhardt Barth Germany	28	1.6k 1.1×	194 0.2×	155 0.2×	117 0.2×	639 1.7×	128	3.3k
Florentin Wörgötter Germany	41	1.2k 0.8×	626 0.5×	1.1k 1.2×	1.2k 2.3×	131 0.3×	290	6.1k
Qiang Huang China	38	832 0.6×	508 0.4×	4.8k 5.0×	243 0.5×	133 0.3×	673	7.3k

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 of co-authors of Javaan Chahl

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Perera, Asanka G., et al.. (2025). Drone Imaging and Sensors for Situational Awareness in Hazardous Environments: A Systematic Review. Journal of Sensor and Actuator Networks. 14(5). 98–98.

2.

Al‐Naji, Ali, et al.. (2024). Computer vision for eye diseases detection using pre‐trained deep learning techniques and raspberry Pi. The Journal of Engineering. 2024(7). 2 indexed citations

3.

Wang, Danyi & Javaan Chahl. (2024). Simulating cardiac signals on 3D human models for photoplethysmography development. Frontiers in Robotics and AI. 10. 1266535–1266535. 2 indexed citations

4.

Al‐Naji, Ali, et al.. (2023). Computer-Aid System for Automated Jaundice Detection. SHILAP Revista de lepidopterología. 5(1). 8–15. 6 indexed citations

5.

Lucas, Stephen K., et al.. (2023). Employing the Peltier Effect to Control Motor Operating Temperatures. Energies. 16(5). 2498–2498. 3 indexed citations

6.

Al‐Naji, Ali, et al.. (2023). Lightweight and Robust Malware Detection Using Dictionaries of API Calls. SHILAP Revista de lepidopterología. 4(4). 746–757. 2 indexed citations

7.

Lucas, Michael, et al.. (2023). A Computer Vision Milky Way Compass. Applied Sciences. 13(10). 6062–6062. 1 indexed citations

8.

Al‐Naji, Ali, et al.. (2023). Features Engineering to Differentiate between Malware and Legitimate Software. Applied Sciences. 13(3). 1972–1972. 9 indexed citations

9.

Perera, Asanka G., et al.. (2023). Neural network‐based optical flow versus traditional optical flow techniques with thermal aerial imaging in real‐world settings. Journal of Field Robotics. 40(7). 1817–1839. 2 indexed citations

10.

Marian, Romeo, et al.. (2022). Robust Instant Angle Speed Measurement for Internal Combustion Engines—A Novel Sensing Suite and Methodology. Sensors. 22(3). 754–754. 1 indexed citations

11.

Al‐Naji, Ali, et al.. (2022). Contactless Blood Pressure Estimation System Using a Computer Vision System. Inventions. 7(3). 84–84. 3 indexed citations

12.

Al‐Naji, Ali, et al.. (2022). Features Engineering for Malware Family Classification Based API Call. Computers. 11(11). 160–160. 8 indexed citations

13.

Chahl, Javaan, et al.. (2022). Sparse Optical Flow Implementation Using a Neural Network for Low-Resolution Thermal Aerial Imaging. Journal of Imaging. 8(10). 279–279.

14.

Chahl, Javaan, et al.. (2021). Time series classification of radio signal strength for qualitative estimate of UAV motion. SHILAP Revista de lepidopterología. 4. 100027–100027. 1 indexed citations

15.

Chahl, Javaan, et al.. (2021). Biomimetic Drones Inspired by Dragonflies Will Require a Systems Based Approach and Insights from Biology. Drones. 5(2). 24–24. 11 indexed citations

16.

Chan, Woei-Leong, et al.. (2020). Efficient flapping wing drone arrests high-speed flight using post-stall soaring. Science Robotics. 5(44). 65 indexed citations

17.

Oudah, Munir, Ali Al‐Naji, & Javaan Chahl. (2020). Elderly Care Based on Hand Gestures Using Kinect Sensor. Computers. 10(1). 5–5. 21 indexed citations

18.

Chahl, Javaan. (2007). Innovations in intelligent machines. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations

19.

Franz, Matthias & Javaan Chahl. (2002). Linear Combinations of Optic Flow Vectors for Estimating Self-Motion - a Real-World Test of a Neural Model. MPG.PuRe (Max Planck Society). 15. 1343–1350. 3 indexed citations

20.

Chahl, Javaan, et al.. (1995). Centering behavior for mobile robots using insect based cues. Deakin Research Online (Deakin University). 224–228. 3 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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