Junaed Sattar

55 papers receiving 976 citations

Peers

Junaed Sattar
Comparison fields: 5 of 79
  • Ocean Engineering 467
  • Human-Computer Interaction 122
  • Computer Vision and Pattern Recognition 388
  • Aerospace Engineering 333
  • Water Science and Technology 120
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Mario Prats Spain
Max Pfingsthorn Germany
Jan Albiez Germany
Chris Prahacs Canada
Luis G. García-Valdovinos Mexico
Đula Nađ Croatia
Mamoru Minami Japan
Fausto Ferreira Italy
Iuliu Vasilescu United States
Tomás Salgado-Jiménez Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Junaed Sattar

Since Specialization
Citations

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

Fields of papers citing papers by Junaed Sattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007196
2 2005115
3 201855
4 200748
5 201446
6 200746
7 200842
8 200736
9 202233
10 202131
11 200529
12 201329
13 200924
14 200622
15 202021
16 200817
17 201916
18 200916
19 200915
20 201712

About Junaed Sattar

Junaed Sattar is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Human-Computer Interaction and Water Science and Technology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (30 papers), Robotics and Sensor-Based Localization (20 papers), Water Quality Monitoring Technologies (8 papers), Advanced Vision and Imaging (8 papers), Hand Gesture Recognition Systems (7 papers), Underwater Acoustics Research (7 papers), Gaze Tracking and Assistive Technology (7 papers) and Social Robot Interaction and HRI (6 papers). The work is most often cited by research in Ocean Engineering (467 citations), Human-Computer Interaction (122 citations), Computer Vision and Pattern Recognition (388 citations), Aerospace Engineering (333 citations) and Water Science and Technology (120 citations). Junaed Sattar has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Gregory Dudek, Philippe Giguère, Chris Prahacs, Anqi Xu, Shane Saunderson, Andrew Hogue, Evangelos Milios, Michael Jenkin, Andrew German and Md Jahidul Islam. Their work appears in journals such as IEEE Robotics and Automation Letters, Springer tracts in advanced robotics, The International Journal of Robotics Research, Autonomous Robots and Computer.

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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