Ioan-Bogdan Magdău

1.2k citations
20 papers · 577 indexed · 1 hit paper · h-index 12

Ioan-Bogdan Magdău

19 papers receiving 571 citations

Hit Papers

MACE-OFF: Short-Range Transferable Machine Learning Force...482025202610203040

Peers

Ioan-Bogdan Magdău
Comparison fields: 5 of 43
  • Inorganic Chemistry 160
  • Geophysics 110
  • Materials Chemistry 293
  • Polymers and Plastics 83
  • Atomic and Molecular Physics, and Optics 156
Replace Ž. Čančarević with:
Ž. Čančarević Germany
Dominik Kurzydłowski Poland
Vencislav Parvanov United States
Massimo Delle Piane Italy
S. Arumugam India
Éva Kováts Hungary
Matthew R. Farrow United Kingdom
Ralf P. Stoffel Germany
H.H. Kart Türkiye
Claudia E. Avalos United States
Ioan-Bogdan Magdău relative to Ž. Čančarević Germany Ž. Čančarević's profile →
Citations per field
00.5×10×15×20.8×
Ž. Čančarević · 1×
Citations per year

Countries citing papers authored by Ioan-Bogdan Magdău

Since Specialization
Citations

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

Fields of papers citing papers by Ioan-Bogdan Magdău

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ioan-Bogdan Magdău. 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 Ioan-Bogdan Magdău. The network helps show where Ioan-Bogdan Magdău may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ioan-Bogdan Magdău, 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 Ioan-Bogdan Magdău Line = papers co-authored together Ioan-Bogdan Magdău links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3
MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Moleculesbreakdown →
202548
4 202338
5 20225
6 202119
7 202112
8 20206
9 202067
10 202014
11 201910
12 201718
13 201715
14
3 High Temperature Raman analysis of Hydrogen Phase IV from Molecular Dynamics
20164
15 201512
16 201510
17 20145
18 201443
19 201352
20 2012194

About Ioan-Bogdan Magdău

Ioan-Bogdan Magdău is a scholar working on Geophysics, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 20 papers that have together received 577 indexed citations. Recurring topics across this work include Quantum, superfluid, helium dynamics (8 papers), Advanced Chemical Physics Studies (8 papers), High-pressure geophysics and materials (7 papers), Machine Learning in Materials Science (6 papers), Fuel Cells and Related Materials (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Conducting polymers and applications (2 papers) and Advanced Battery Materials and Technologies (2 papers). The work is most often cited by research in Inorganic Chemistry (160 citations), Geophysics (110 citations) and Materials Chemistry (293 citations). Ioan-Bogdan Magdău has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Graeme J. Ackland, Binit Lukose, Sylvain Grosjean, Adelheid Godt, Hartmut Gliemann, Peter G. Weidler, Stefan Bräse, Kläus Müllen, Thomas F. Miller and Jinxuan Liu. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and SHILAP Revista de lepidopterología.

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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