Martins Ezuma

555 total citations
8 papers, 308 citations indexed

About

Martins Ezuma is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martins Ezuma has authored 8 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martins Ezuma's work include UAV Applications and Optimization (3 papers), Chaos control and synchronization (2 papers) and Gait Recognition and Analysis (2 papers). Martins Ezuma is often cited by papers focused on UAV Applications and Optimization (3 papers), Chaos control and synchronization (2 papers) and Gait Recognition and Analysis (2 papers). Martins Ezuma collaborates with scholars based in United States, Finland and Mexico. Martins Ezuma's co-authors include İsmail Güvenç, Chethan Kumar Anjinappa, Fatih Erden, Özgür Özdemir, Adrian P. Lauf, J. Humberto Pérez-Cruz, Vasilii Semkin, Özgür Özdemir, Marco Mezzavilla and Seongjoon Kang and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Sensors Journal.

In The Last Decade

Martins Ezuma

7 papers receiving 298 citations

Peers

Martins Ezuma
Comparison fields: 5 of 35
  • Aerospace Engineering 208
  • Artificial Intelligence 114
  • Computer Vision and Pattern Recognition 80
  • Electrical and Electronic Engineering 76
  • Computer Networks and Communications 47
Replace Caidan Zhao with:
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Yangwang Fang China
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Folker Hoffmann Germany
Wenqiang Pu China
Simran Singh United States
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Hans Driessen Netherlands
Jean-Philippe Condomines France
Caidan Zhao China View profile →
Citations per field, relative to Martins Ezuma
Martins Ezuma · 1×
Citations per year, relative to Martins Ezuma
Martins Ezuma · 1×

Countries citing papers authored by Martins Ezuma

Since Specialization
Citations

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

Fields of papers citing papers by Martins Ezuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martins Ezuma

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 4
2 0
3 53
4 28
5 18
6 3
7 29
8 173

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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