Assef Jafar

654 citations
16 papers · 422 · h-index 8

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 3
    • Multimodal Machine Learning Applications 2
    • Robotic Path Planning Algorithms 2
    • Domain Adaptation and Few-Shot Learning 2
    • Imbalanced Data Classification Techniques 2
    • Internet Traffic Analysis and Secure E-voting 2

Assef Jafar

13 papers receiving 399 citations

Peers

Assef Jafar
Comparison fields: 5 of 69
  • Information Systems 188
  • Computational Mathematics 4
  • Artificial Intelligence 207
  • Computer Vision and Pattern Recognition 125
  • Signal Processing 54
Replace Fernando Díez with:
Fernando Díez Spain
Mohammad Yahya H. Al-Shamri Saudi Arabia
Mingyang Zhou China
Vukosi Marivate South Africa
Ernesto Diaz-Aviles Germany
Zhaoyun Ding China
Hasan Kahtan Malaysia
Yuhan Quan China
Vasudha Bhatnagar India
Sheetal Girase India
Assef Jafar relative to Fernando Díez Spain Fernando Díez's profile →
Citations per field
00.5×5.2×
Fernando Díez · 1×
Citations per year

Countries citing papers authored by Assef Jafar

Since Specialization
Citations

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

Fields of papers citing papers by Assef Jafar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Assef Jafar, 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 Assef Jafar Line = papers co-authored together Assef Jafar links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2019177
2 202262
3 202161
4 202029
5 202029
6 202029
7 20229
8 20229
9 20206
10 20226
11 20202
12 20192
13 20161
14 20230
15 20260
16 20210

About Assef Jafar

Assef Jafar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Aerospace Engineering and Computer Networks and Communications, having authored 16 papers that have together received 422 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Imbalanced Data Classification Techniques (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Information Systems (188 citations), Computational Mathematics (4 citations), Artificial Intelligence (207 citations), Computer Vision and Pattern Recognition (125 citations) and Signal Processing (54 citations). Assef Jafar has collaborated with scholars based in Syria, Egypt and Ireland. Frequent co-authors include Nada Ghneim and Omar Hamdoun. Their work appears in journals such as Journal Of Big Data, IEEE Access, Knowledge-Based Systems, Computational Intelligence and Neuroscience and Social Network Analysis and Mining.

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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