Laila Bashmal

1.0k citations
17 papers · 701 · 1 hit paper · h-index 10

Impact in

    • Remote-Sensing Image Classification
    • Advanced Image and Video Retrieval Techniques
    • Multimodal Machine Learning Applications
    • Advanced Neural Network Applications
    • Image Retrieval and Classification Techniques

Papers in

Laila Bashmal

17 papers receiving 685 citations

Laila Bashmal's Hit Papers

Vision Transformers for Remote Sensing Image Classification 2021 · 398 citations
3980+1+3Years since publication100200300

Peers

Laila Bashmal
Comparison fields: 5 of 89
  • Media Technology 332
  • Computer Vision and Pattern Recognition 345
  • Atmospheric Science 147
  • Health Informatics 8
  • Artificial Intelligence 181
Replace Puhua Chen with:
Puhua Chen China
Manohar Karki United States
Yuxi Sun China
Xuan Yang China
Reham Al-Dayil Saudi Arabia
Weixun Zhou China
Lihao Ni China
Esam Othman Saudi Arabia
Qibin He China
Laila Bashmal relative to Puhua Chen China Puhua Chen's profile →
Citations per field
00.5×2.7×
Puhua Chen · 1×
Citations per year

Countries citing papers authored by Laila Bashmal

Since Specialization
Citations

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

Fields of papers citing papers by Laila Bashmal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Laila Bashmal, 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 Laila Bashmal Line = papers co-authored together Laila Bashmal links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Vision Transformers for Remote Sensing Image Classification
Hit paper breakdown →
2021398
2 201850
3 201849
4 202242
5 202341
6 202430
7 202120
8 202115
9 202312
10 202312
11 20236
12 20176
13 20186
14
ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets
20215
15 20184
16 20223
17 20232

About Laila Bashmal

Laila Bashmal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Atmospheric Science and Ecology, having authored 17 papers that have together received 701 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (7 papers), Remote-Sensing Image Classification (4 papers), Remote Sensing and Land Use (3 papers), Topic Modeling (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Remote Sensing in Agriculture (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Media Technology (332 citations), Computer Vision and Pattern Recognition (345 citations), Atmospheric Science (147 citations), Health Informatics (8 citations) and Artificial Intelligence (181 citations). Laila Bashmal has collaborated with scholars based in Saudi Arabia and Italy. Frequent co-authors include Yakoub Bazi, Mohamad Mahmoud Al Rahhal, Reham Al-Dayil, Mansour Zuair, Farid Melgani, Nassim Ammour, Naif Alajlan, Haikel Alhichri and Heba Kurdi. Their work appears in journals such as Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine and Applied Sciences.

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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