Ali Dabirian

60 total papers · 1.3k total citations
54 papers, 1.1k citations indexed

About

Ali Dabirian is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ali Dabirian has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Materials Chemistry, 34 papers in Electrical and Electronic Engineering and 20 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ali Dabirian's work include Advanced Photocatalysis Techniques (13 papers), Quantum Dots Synthesis And Properties (11 papers) and Copper-based nanomaterials and applications (11 papers). Ali Dabirian is often cited by papers focused on Advanced Photocatalysis Techniques (13 papers), Quantum Dots Synthesis And Properties (11 papers) and Copper-based nanomaterials and applications (11 papers). Ali Dabirian collaborates with scholars based in Iran, Switzerland and Netherlands. Ali Dabirian's co-authors include Roel van de Krol, Monica Morales‐Masis, Christophe Ballif, Nima Taghavinia, Fatwa F. Abdi, Stefaan De Wolf, Ahmad Moshaii, Mahdi Malekshahi Byranvand, B. Dam and P. Hoffmann and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Chemistry of Materials.

In The Last Decade

Ali Dabirian

52 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Ali Dabirian	665	642	402	145	136	54	1.1k
Hikmet Sezen	575 0.9×	815 1.3×	363 0.9×	135 0.9×	129 0.9×	63	1.3k
Faqiang Xu	580 0.9×	778 1.2×	221 0.5×	173 1.2×	156 1.1×	82	1.1k
Toshitaka Kubo	452 0.7×	1.0k 1.6×	573 1.4×	86 0.6×	162 1.2×	53	1.3k
María Chiara Spadaro	568 0.9×	720 1.1×	394 1.0×	105 0.7×	79 0.6×	71	1.2k
Yu‐Ning Wu	734 1.1×	959 1.5×	268 0.7×	108 0.7×	167 1.2×	73	1.3k
Jean‐Luc Deschanvres	587 0.9×	892 1.4×	168 0.4×	141 1.0×	91 0.7×	86	1.2k
Zhaobo Zhou	530 0.8×	1.0k 1.6×	524 1.3×	128 0.9×	82 0.6×	54	1.3k
Xiaolin Liu	759 1.1×	728 1.1×	389 1.0×	69 0.5×	111 0.8×	103	1.3k
A.V. Mazanik	679 1.0×	578 0.9×	225 0.6×	98 0.7×	110 0.8×	96	1.0k
Xuefeng Cui	467 0.7×	917 1.4×	382 1.0×	258 1.8×	259 1.9×	49	1.3k

Countries citing papers authored by Ali Dabirian

Since Specialization

Citations

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

Fields of papers citing papers by Ali Dabirian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Dabirian

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