Marcin Makowski

710 citations
50 papers · 563 · h-index 13

Impact in

Papers in

Marcin Makowski

47 papers receiving 553 citations

Peers

Marcin Makowski
Comparison fields: 5 of 74
  • Physical and Theoretical Chemistry 125
  • Atomic and Molecular Physics, and Optics 220
  • Organic Chemistry 194
  • Spectroscopy 85
  • General Decision Sciences 9
Replace Robin Grotjahn with:
Robin Grotjahn Germany
Chenyang Li China
Mojtaba Alipour Iran
Thomas Russo United States
Mariette Barthès France
Stephen G. Dale Canada
Kuo Kan Liang Taiwan
Dan L. Bergman Sweden
Leif D. Jacobson United States
Ofelia B. Oña Argentina
Marcin Makowski relative to Robin Grotjahn Germany Robin Grotjahn's profile →
Citations per field
00.5×10×15×20×23×
Robin Grotjahn · 1×
Citations per year

Countries citing papers authored by Marcin Makowski

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Makowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcin Makowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcin Makowski Line = papers co-authored together Marcin Makowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014155
2 200633
3 201025
4 200620
5 200920
6 201919
7 200918
8 201016
9 201915
10 201814
11 201812
12 200312
13 200312
14 201112
15 200911
16 200611
17 201111
18 200510
19 201510
20 200410

About Marcin Makowski

Marcin Makowski is a scholar working on Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry, Organic Chemistry, Artificial Intelligence and Spectroscopy, having authored 50 papers that have together received 563 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (18 papers), Photochemistry and Electron Transfer Studies (12 papers), Quantum Mechanics and Applications (10 papers), Spectroscopy and Quantum Chemical Studies (10 papers), Quantum Information and Cryptography (7 papers), Molecular spectroscopy and chirality (5 papers), Porphyrin and Phthalocyanine Chemistry (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (125 citations), Atomic and Molecular Physics, and Optics (220 citations), Organic Chemistry (194 citations), Spectroscopy (85 citations) and General Decision Sciences (9 citations). Marcin Makowski has collaborated with scholars based in Poland, Japan and China. Frequent co-authors include M. Pawlikowski, Grzegorz Mazur, Edward W. Piotrowski, Yuriko Aoki, Feng Long Gu, Marcin Andrzejak, Karol Dyduch, Dariusz W. Szczepanik, E. J. Zak and Janusz Mrozek. Their work appears in journals such as International Journal of Quantum Chemistry, Chemical Physics Letters, Physica A Statistical Mechanics and its Applications, Journal of Computational Chemistry and Physics Letters A.

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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