Daniel Asmar
Impact in
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Augmented Reality Applications
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 16
- Robotic Path Planning Algorithms 15
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- Robotics and Sensor-Based Localization 40
- Co-authors
- Imad H. Elhajj (46 shared papers)Elie Shammas (33 shared papers)John Zelek (20 shared papers)Georges Younes (8 shared papers)David Thompson (1 shared paper)George Turkiyyah (1 shared paper)F. Moukalled (1 shared paper)M. Darwish (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (3 papers)Robotics and Autonomous Systems (3 papers)Pattern Recognition Letters (2 papers)Journal of Intelligent & Robotic Systems (2 papers)Digital Applications in Archaeology and Cultural Heritage (2 papers)
- Partner nations
- LebanonCanadaUnited States
In The Last Decade
Daniel Asmar
96 papers receiving 848 citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 371
- Geology 99
- Human-Computer Interaction 90
- Health Informatics 15
- Aerospace Engineering 272
Countries citing papers authored by Daniel Asmar
This map shows the geographic impact of Daniel Asmar'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 Daniel Asmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Asmar more than expected).
Fields of papers citing papers by Daniel Asmar
This network shows the impact of papers produced by Daniel Asmar. 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 Daniel Asmar. The network helps show where Daniel Asmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Asmar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 114 | |
| 2 | 2018 | 91 | |
| 3 | 2003 | 56 | |
| 4 | 2017 | 54 | |
| 5 | 2019 | 26 | |
| 6 | 2016 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2014 | 19 | |
| 9 | 2004 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2015 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2011 | 15 | |
| 14 | 2022 | 15 | |
| 15 | Fuzzy Inference-Based Person-Following Robot | 2008 | 14 |
| 16 | 2007 | 12 | |
| 17 | 2015 | 11 | |
| 18 | 2011 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2016 | 11 |
About Daniel Asmar
Daniel Asmar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Biomedical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 103 papers that have together received 874 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (40 papers), Robotic Locomotion and Control (17 papers), Advanced Vision and Imaging (16 papers), Robotic Path Planning Algorithms (15 papers), 3D Surveying and Cultural Heritage (14 papers), Control and Dynamics of Mobile Robots (11 papers), Prosthetics and Rehabilitation Robotics (10 papers) and Teleoperation and Haptic Systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (371 citations), Geology (99 citations), Human-Computer Interaction (90 citations), Health Informatics (15 citations) and Aerospace Engineering (272 citations). Daniel Asmar has collaborated with scholars based in Lebanon, Canada and United States. Frequent co-authors include Imad H. Elhajj, Elie Shammas, John Zelek, Georges Younes, David Thompson, George Turkiyyah, F. Moukalled, M. Darwish, Hiam Khoury and Ali Harakeh. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Robotics and Autonomous Systems, Pattern Recognition Letters, Journal of Intelligent & Robotic Systems and Digital Applications in Archaeology and Cultural Heritage.
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.