Michał Makowski

75 total papers · 1.0k total citations
54 papers, 791 citations indexed

About

Michał Makowski is a scholar working on Materials Chemistry, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, Michał Makowski has authored 54 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Materials Chemistry, 33 papers in Radiation and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Michał Makowski's work include Luminescence Properties of Advanced Materials (35 papers), Radiation Detection and Scintillator Technologies (33 papers) and Perovskite Materials and Applications (28 papers). Michał Makowski is often cited by papers focused on Luminescence Properties of Advanced Materials (35 papers), Radiation Detection and Scintillator Technologies (33 papers) and Perovskite Materials and Applications (28 papers). Michał Makowski collaborates with scholars based in Poland, Singapore and Indonesia. Michał Makowski's co-authors include Marcin E. Witkowski, Winicjusz Drozdowski, Muhammad Danang Birowosuto, Francesco Maddalena, Christophe Dujardin, Cuong Dang, S. V. Springham, Aozhen Xie, Philippe Coquet and Arramel Arramel and has published in prestigious journals such as Advanced Materials, Chemistry of Materials and The Journal of Physical Chemistry C.

In The Last Decade

Michał Makowski

50 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Michał Makowski	606	527	352	188	181	54	791
Pijush Bhattacharya	488 0.8×	396 0.8×	235 0.7×	169 0.9×	102 0.6×	40	689
Y. Cui	523 0.9×	595 1.1×	237 0.7×	207 1.1×	130 0.7×	45	863
Vineet Kumar	781 1.3×	440 0.8×	208 0.6×	129 0.7×	131 0.7×	54	902
A. Kotlov	748 1.2×	305 0.6×	216 0.6×	103 0.5×	173 1.0×	45	846
A. Canımoğlu	809 1.3×	325 0.6×	331 0.9×	59 0.3×	96 0.5×	58	851
Yuchong Ding	530 0.9×	508 1.0×	220 0.6×	183 1.0×	43 0.2×	27	661
Xiaopu Chen	667 1.1×	439 0.8×	226 0.6×	178 0.9×	54 0.3×	56	870
Bibo Lou	673 1.1×	526 1.0×	114 0.3×	124 0.7×	69 0.4×	47	745
B. Deghfel	520 0.9×	308 0.6×	183 0.5×	42 0.2×	170 0.9×	52	778
Peng Ran	475 0.8×	468 0.9×	210 0.6×	164 0.9×	69 0.4×	32	690

Countries citing papers authored by Michał Makowski

Since Specialization

Citations

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

Fields of papers citing papers by Michał Makowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Makowski

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