Daniel Asmar

1.4k citations
103 papers · 899 · h-index 15

Impact in

    • 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

Daniel Asmar

97 papers receiving 874 citations

Peers

Daniel Asmar
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 370
  • Geology 100
  • Human-Computer Interaction 91
  • Aerospace Engineering 275
  • Space and Planetary Science 12
Replace Young Ho Chai with:
Young Ho Chai South Korea
Jian Chang United Kingdom
Alain Pagani Germany
Walter Wohlkinger Austria
Kun Qian China
Max Pfingsthorn Germany
Itaru Kitahara Japan
Sei Ikeda Japan
Aaron Morris United States
Ye Xia China
Daniel Asmar relative to Young Ho Chai South Korea Young Ho Chai's profile →
Citations per field
00.5×4.5×
Young Ho Chai · 1×
Citations per year

Countries citing papers authored by Daniel Asmar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Asmar Line = papers co-authored together Daniel Asmar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 2018101
3 200357
4 201755
5 201927
6 201624
7 201823
8 200418
9 201417
10 202017
11 202117
12 201516
13 201115
14 202215
15
Fuzzy Inference-Based Person-Following Robot
200814
16 200712
17 201611
18 201511
19 201611
20 201511

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 899 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 Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (370 citations), Geology (100 citations), Human-Computer Interaction (91 citations), Aerospace Engineering (275 citations) and Space and Planetary Science (12 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, Naseem Daher, George Turkiyyah, M. Darwish, F. Moukalled and Hiam Khoury. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Transactions on Instrumentation and Measurement, Digital Applications in Archaeology and Cultural Heritage, Journal of Intelligent & Robotic Systems and Nonlinear Dynamics.

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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