Maryam Naebe

119 total papers · 3.8k total citations
94 papers, 2.9k citations indexed

About

Maryam Naebe is a scholar working on Polymers and Plastics, Biomaterials and Building and Construction. According to data from OpenAlex, Maryam Naebe has authored 94 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Polymers and Plastics, 42 papers in Biomaterials and 25 papers in Building and Construction. Recurrent topics in Maryam Naebe's work include Textile materials and evaluations (31 papers), Dyeing and Modifying Textile Fibers (23 papers) and Advanced Cellulose Research Studies (21 papers). Maryam Naebe is often cited by papers focused on Textile materials and evaluations (31 papers), Dyeing and Modifying Textile Fibers (23 papers) and Advanced Cellulose Research Studies (21 papers). Maryam Naebe collaborates with scholars based in Australia, China and United States. Maryam Naebe's co-authors include Abu Naser Md Ahsanul Haque, Xungai Wang, Yi Zhang, Aminoddin Hajı, Rechana Remadevi, Md Abdullah Al Faruque, Joselito M. Razal, B. A. McGregor, Md. Syduzzaman and Kadir Bilişik and has published in prestigious journals such as Advanced Functional Materials, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Maryam Naebe

89 papers receiving 2.8k citations

Hit Papers

Textile strain sensors: a... 2018 2026 2020 2023 2018 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Maryam Naebe 1.1k 1.0k 816 560 267 94 2.9k
Anuj Kumar 806 0.7× 1.2k 1.2× 960 1.2× 421 0.8× 287 1.1× 82 2.9k
F. Carrillo 883 0.8× 1.0k 1.0× 1.2k 1.4× 580 1.0× 210 0.8× 68 2.9k
Kuichuan Sheng 765 0.7× 1.0k 1.0× 921 1.1× 287 0.5× 169 0.6× 78 2.5k
Qiliang Fu 939 0.9× 1.1k 1.1× 1.2k 1.4× 514 0.9× 368 1.4× 41 2.8k
Vincent Nierstrasz 718 0.7× 1.1k 1.1× 795 1.0× 577 1.0× 427 1.6× 111 3.3k
Zefang Xiao 1.9k 1.8× 1.0k 1.0× 1.3k 1.6× 696 1.2× 349 1.3× 63 3.5k
Ruth Marlene Campomanes Santana 1.2k 1.1× 877 0.9× 1.4k 1.7× 293 0.5× 315 1.2× 127 2.8k
Youming Dong 1.2k 1.1× 1.1k 1.1× 1.2k 1.5× 587 1.0× 352 1.3× 110 3.0k
X. Colom 2.0k 1.8× 997 1.0× 1.5k 1.8× 633 1.1× 292 1.1× 93 3.8k
Yan Wu 890 0.8× 857 0.8× 970 1.2× 574 1.0× 470 1.8× 126 2.9k

Countries citing papers authored by Maryam Naebe

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Naebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Naebe

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Naebe. A scholar is included among the top collaborators of Maryam Naebe 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 Maryam Naebe. Maryam Naebe 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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