Osama Halabi

54 papers receiving 808 citations

Osama Halabi's Hit Papers

Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review 2024 · 80 citations
800+1Years since publication255075

Peers

Osama Halabi
Comparison fields: 5 of 121
  • Human-Computer Interaction 218
  • Cognitive Neuroscience 157
  • Computer Vision and Pattern Recognition 174
  • Health Informatics 10
  • Occupational Therapy 27
Replace Hussein Al Osman with:
Hussein Al Osman Canada
Cheng Yao China
Simon Hoermann New Zealand
Suziah Sulaiman Malaysia
Randy Gómez Japan
Florica Moldoveanu Romania
Fátima L. S. Nunes Brazil
Francisco R. Ortega United States
Manuel Giuliani United Kingdom
Cecília Sik‐Lányi Hungary
Osama Halabi relative to Hussein Al Osman Canada Hussein Al Osman's profile →
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Citations per year

Countries citing papers authored by Osama Halabi

Since Specialization
Citations

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

Fields of papers citing papers by Osama Halabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Osama Halabi, 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 Osama Halabi Line = papers co-authored together Osama Halabi 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 2019122
2 202296
3
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review
Hit paper breakdown →
202480
4 201758
5 200543
6 202341
7 202341
8 200339
9 200528
10 201722
11 201920
12 202418
13 200917
14
Tele-Handshake: Cooperative Shared Haptic Virtual Environment
200115
15 202414
16 202414
17 202113
18 200513
19 201812
20 201712

About Osama Halabi

Osama Halabi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Mechanical Engineering, Cognitive Neuroscience and Social Psychology, having authored 58 papers that have together received 841 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (20 papers), Teleoperation and Haptic Systems (15 papers), Tactile and Sensory Interactions (11 papers), Augmented Reality Applications (11 papers), Human-Automation Interaction and Safety (6 papers), Surgical Simulation and Training (5 papers), 3D Surveying and Cultural Heritage (5 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Human-Computer Interaction (218 citations), Cognitive Neuroscience (157 citations), Computer Vision and Pattern Recognition (174 citations), Health Informatics (10 citations) and Occupational Therapy (27 citations). Osama Halabi has collaborated with scholars based in Qatar, Japan and United States. Frequent co-authors include Sarada Prasad Dakua, Susumu Horiguchi, Samir Abou El-Seoud, Mohammed Yusuf Ansari, Abdulla Al‐Ansari, Pramod Kumar Meher, Tomohiro Hori, Jihad Mohamad Alja’am, Norishige Chiba and Omar M. Aboumarzouk. Their work appears in journals such as Multimedia Tools and Applications, Displays, Applied Sciences, International Journal of Emerging Technologies in Learning (iJET) and International Journal of Human-Computer Interaction.

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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