Yara Rizk

1.0k total citations · 1 hit paper
22 papers, 660 citations indexed

About

Yara Rizk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yara Rizk has authored 22 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Yara Rizk's work include Machine Learning and ELM (4 papers), Neural Networks and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yara Rizk is often cited by papers focused on Machine Learning and ELM (4 papers), Neural Networks and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yara Rizk collaborates with scholars based in Lebanon, United Kingdom and Finland. Yara Rizk's co-authors include Mariette Awad, Edward Tunstel, Carlos Castillo, Jumana Antoun, Ali Chalak, Mohamad G. Abiad, Lama Mattar, Hussein F. Hassan, Hüseyin Çakmak and Yong Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and ACM Computing Surveys.

In The Last Decade

Yara Rizk

22 papers receiving 639 citations

Hit Papers

Cooperative Heterogeneous Multi-Robot Systems 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cooperative Heterogeneous Multi-Robot Systems
    2019 258 citations Yara Rizk, Mariette Awad et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yara Rizk Lebanon 10 268 193 132 102 82 22 660
Gaspard Harerimana South Korea 6 341 1.3× 129 0.7× 78 0.6× 66 0.6× 22 0.3× 7 776
Myeonghwi Kim South Korea 4 263 1.0× 118 0.6× 72 0.5× 65 0.6× 21 0.3× 7 637
Baohua Qiang China 15 147 0.5× 84 0.4× 178 1.3× 46 0.5× 16 0.2× 78 559
Danilo Giordano Italy 16 154 0.6× 307 1.6× 51 0.4× 38 0.4× 10 0.1× 42 663
Muhammad Umar Aftab Pakistan 17 329 1.2× 234 1.2× 202 1.5× 56 0.5× 24 0.3× 55 941
Jianfeng Lu China 14 221 0.8× 148 0.8× 36 0.3× 44 0.4× 20 0.2× 93 631
Alan N. Steinberg United States 10 571 2.1× 178 0.9× 138 1.0× 152 1.5× 14 0.2× 26 934
Antonio A. F. Loureiro Brazil 13 104 0.4× 533 2.8× 66 0.5× 55 0.5× 26 0.3× 27 1.0k
Subrota Kumar Mondal Macao 10 258 1.0× 124 0.6× 117 0.9× 36 0.4× 22 0.3× 34 664
Jiabao Guo China 5 450 1.7× 54 0.3× 78 0.6× 46 0.5× 33 0.4× 10 835

Countries citing papers authored by Yara Rizk

Since Specialization
Citations

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

Fields of papers citing papers by Yara Rizk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yara Rizk

This figure shows the co-authorship network connecting the top 25 collaborators of Yara Rizk. A scholar is included among the top collaborators of Yara Rizk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yara Rizk. Yara Rizk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rizk, Yara, et al.. (2025). Towards LLMs Robustness to Changes in Prompt Format Styles. 529–537. 1 indexed citations
2.
Rizk, Yara, et al.. (2020). An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks. Journal of Artificial Intelligence and Soft Computing Research. 11(1). 33–50. 10 indexed citations
3.
4.
Rizk, Yara & Mariette Awad. (2019). A quantum genetic algorithm for pickup and delivery problems with coalition formation. Procedia Computer Science. 159. 261–270. 5 indexed citations
5.
Rizk, Yara, Mariette Awad, & Edward Tunstel. (2019). Cooperative Heterogeneous Multi-Robot Systems. ACM Computing Surveys. 52(2). 1–31. 258 indexed citations breakdown →
6.
Rizk, Yara, et al.. (2019). A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection. IEEE Transactions on Geoscience and Remote Sensing. 58(5). 3202–3212. 35 indexed citations
7.
8.
Rizk, Yara, et al.. (2018). Damage Identification in Social Media Posts using Multimodal Deep Learning.. ISCRAM. 60 indexed citations
9.
Rizk, Yara, et al.. (2018). A subjectivity classification framework for sports articles using improved cortical algorithms. Neural Computing and Applications. 31(11). 8069–8085. 12 indexed citations
10.
Rizk, Yara, et al.. (2018). End-to-End Listening Agent for Audiovisual Emotional and Naturalistic Interactions. SHILAP Revista de lepidopterología. 10(2). 2–2. 3 indexed citations
11.
Rizk, Yara, Mariette Awad, & Edward Tunstel. (2018). Decision Making in Multiagent Systems: A Survey. IEEE Transactions on Cognitive and Developmental Systems. 10(3). 514–529. 132 indexed citations
12.
13.
Rizk, Yara, et al.. (2017). Toward Real-Time Seismic Feature Analysis for Bright Spot Detection: A Distributed Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(1). 322–331. 7 indexed citations
14.
Rizk, Yara, et al.. (2016). Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images. 56. 404–411. 5 indexed citations
15.
Rizk, Yara, et al.. (2016). Affective Relationship between Color and Text in Arabic Comic Books. 215–222. 3 indexed citations
16.
Rizk, Yara & Mariette Awad. (2015). On the Distributed Implementation of Unsupervised Extreme Learning Machines for Big Data. Procedia Computer Science. 53. 167–174. 4 indexed citations
17.
Rizk, Yara, et al.. (2015). A MapReduce Cortical Algorithms Implementation for Unsupervised Learning of Big Data. Procedia Computer Science. 53. 327–334. 8 indexed citations
18.
Rizk, Yara, et al.. (2014). An ordinal kernel trick for a computationally efficient support vector machine. 2. 3930–3937. 2 indexed citations
19.
Rizk, Yara, et al.. (2014). Face2Mus: A facial emotion based Internet radio tuner application. 3058. 257–261. 3 indexed citations
20.
Rizk, Yara, et al.. (2013). A local mixture based SVM for an efficient supervised binary classification. 2. 1–8. 8 indexed citations

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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