Maya Kabkab

986 total citations
5 papers, 49 citations indexed

About

Maya Kabkab is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Maya Kabkab has authored 5 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Mathematical Physics, 2 papers in Statistical and Nonlinear Physics and 2 papers in Computational Mechanics. Recurrent topics in Maya Kabkab's work include Complex Network Analysis Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Stochastic processes and statistical mechanics (2 papers). Maya Kabkab is often cited by papers focused on Complex Network Analysis Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Stochastic processes and statistical mechanics (2 papers). Maya Kabkab collaborates with scholars based in United States and Germany. Maya Kabkab's co-authors include Rama Chellappa, Pouya Samangouei, Emily Hand and Richard J. La and has published in prestigious journals such as Internet Mathematics and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Maya Kabkab

5 papers receiving 49 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Kabkab United States 2 31 23 10 8 7 5 49
Mihaela Rosca United States 2 16 0.5× 24 1.0× 6 0.6× 7 0.9× 9 1.3× 2 45
Hatef Monajemi United States 4 24 0.8× 20 0.9× 11 1.1× 19 2.4× 2 0.3× 5 65
Christine Allen-Blanchette United States 3 32 1.0× 44 1.9× 4 0.4× 6 0.8× 1 0.1× 5 73
Michael Pauley Australia 5 38 1.2× 8 0.3× 5 0.5× 4 0.5× 4 0.6× 16 73
Spencer W. Thomas United States 4 21 0.7× 22 1.0× 4 0.4× 1 0.1× 3 0.4× 7 56
Ling-Hua Chang Taiwan 4 22 0.7× 4 0.2× 12 1.2× 2 0.3× 4 0.6× 13 39
Bastiaan S. Veeling Netherlands 4 4 0.1× 18 0.8× 6 0.6× 13 1.6× 7 1.0× 6 49
Z. Yu United States 6 39 1.3× 58 2.5× 3 0.3× 3 0.4× 16 83
Lucy Chai United States 4 7 0.2× 45 2.0× 6 0.6× 15 1.9× 3 0.4× 6 65
Abdullah Hamdi Saudi Arabia 5 18 0.6× 38 1.7× 3 0.3× 2 0.3× 10 66

Countries citing papers authored by Maya Kabkab

Since Specialization
Citations

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

Fields of papers citing papers by Maya Kabkab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Kabkab

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Kabkab. A scholar is included among the top collaborators of Maya Kabkab 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 Maya Kabkab. Maya Kabkab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Kabkab, Maya, Pouya Samangouei, & Rama Chellappa. (2018). Task-Aware Compressed Sensing With Generative Adversarial Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 42 indexed citations
2.
Kabkab, Maya. (2017). The case for spatial pooling in deep convolutional sparse coding. 43. 367–371. 1 indexed citations
3.
Kabkab, Maya, Emily Hand, & Rama Chellappa. (2016). On the size of Convolutional Neural Networks and generalization performance. 3572–3577. 4 indexed citations
4.
La, Richard J. & Maya Kabkab. (2015). A New Random Graph Model with Self-Optimizing Nodes: Connectivity and Diameter. Internet Mathematics. 11(6). 528–554. 1 indexed citations
5.
La, Richard J. & Maya Kabkab. (2013). A new graph model with random edge values: Connectivity and diameter. 861–868. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mihaela Rosca Breakdown of academic impact, for papers by Hatef Monajemi Breakdown of academic impact, for papers by Christine Allen-Blanchette Breakdown of academic impact, for papers by Michael Pauley Breakdown of academic impact, for papers by Spencer W. Thomas Breakdown of academic impact, for papers by Ling-Hua Chang Breakdown of academic impact, for papers by Bastiaan S. Veeling Breakdown of academic impact, for papers by Z. Yu Breakdown of academic impact, for papers by Lucy Chai Breakdown of academic impact, for papers by Abdullah Hamdi
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2026