Muhammad Yunusa

16 total papers · 735 total citations
10 papers, 622 citations indexed

About

Muhammad Yunusa is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Muhammad Yunusa has authored 10 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 5 papers in Biomedical Engineering and 2 papers in Automotive Engineering. Recurrent topics in Muhammad Yunusa's work include Advanced Materials and Mechanics (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Muhammad Yunusa is often cited by papers focused on Advanced Materials and Mechanics (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Muhammad Yunusa collaborates with scholars based in Türkiye, Germany and Switzerland. Muhammad Yunusa's co-authors include Metin Sitti, Morteza Amjadi, Dirk‐M. Drotlef, Amirreza Aghakhani, Yunus Alapan, Ugur Bozuyuk, Mehmet Bayındır, Mehmet Kanık, Adem Yıldırım and Dylan Wood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Muhammad Yunusa

10 papers receiving 619 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muhammad Yunusa 420 165 117 116 116 10 622
Baisong Yang 325 0.8× 163 1.0× 271 2.3× 48 0.4× 275 2.4× 20 651
Tim Cole 455 1.1× 194 1.2× 35 0.3× 81 0.7× 36 0.3× 21 665
Jingwen Liao 474 1.1× 102 0.6× 60 0.5× 35 0.3× 51 0.4× 30 754
Sang Yup Kim 466 1.1× 306 1.9× 34 0.3× 61 0.5× 53 0.5× 23 701
Richard Moser 454 1.1× 150 0.9× 41 0.4× 23 0.2× 92 0.8× 19 640
Hyeongho Min 465 1.1× 78 0.5× 162 1.4× 17 0.1× 157 1.4× 18 604
Prosenjit Sen 449 1.1× 244 1.5× 38 0.3× 72 0.6× 108 0.9× 13 758
Daniel A. Sánchez 407 1.0× 108 0.7× 72 0.6× 34 0.3× 44 0.4× 13 767
Han Ma 290 0.7× 118 0.7× 78 0.7× 67 0.6× 136 1.2× 17 727
Kaiyang Wang 373 0.9× 254 1.5× 35 0.3× 70 0.6× 60 0.5× 18 633

Countries citing papers authored by Muhammad Yunusa

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Yunusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Yunusa

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

All Works

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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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