Letif Mones

727 citations
21 papers · 518 · h-index 13

Impact in

Papers in

Letif Mones

21 papers receiving 515 citations

Peers

Letif Mones
Comparison fields: 5 of 88
  • Physical and Theoretical Chemistry 36
  • Atomic and Molecular Physics, and Optics 123
  • Materials Chemistry 171
  • Molecular Biology 239
  • Computational Theory and Mathematics 49
Replace Dan Mendels with:
Dan Mendels Switzerland
Sara Y. Cheng United States
Luc-Henri Jolly France
Sigbjørn Løland Bore Norway
Prabhakar Bhimalapuram India
Atipat Rojnuckarin United States
Narjes Ansari Italy
Valerio Rizzi Switzerland
Matthew Harger United States
Tjerk P. Straatsma United States
Letif Mones relative to Dan Mendels Switzerland Dan Mendels's profile →
Citations per field
00.5×2.8×
Dan Mendels · 1×
Citations per year

Countries citing papers authored by Letif Mones

Since Specialization
Citations

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

Fields of papers citing papers by Letif Mones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201671
2 200960
3 201655
4 202249
5 201533
6 201428
7 200728
8 200927
9 202027
10 201325
11 201323
12 201017
13 201314
14 200710
15 20119
16 20129
17
PMFLib – A TOOLKIT FOR FREE ENERGY CALCULATIONS II
20119
18 20188
19 20108
20 20165

About Letif Mones

Letif Mones is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Genetics and Electrical and Electronic Engineering, having authored 21 papers that have together received 518 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Advanced Chemical Physics Studies (6 papers), Quantum, superfluid, helium dynamics (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Machine Learning in Materials Science (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (36 citations), Atomic and Molecular Physics, and Optics (123 citations), Materials Chemistry (171 citations), Molecular Biology (239 citations) and Computational Theory and Mathematics (49 citations). Letif Mones has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Gábor Cśanyi, Mónika Fuxreiter, Noam Bernstein, Thomas Falconer, László Túri, István Simon, Petr Kulhánek, Jan Florián, Daniel J. Cole and Peter Friedhoff. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B, Biochemistry, Journal of Computational Chemistry and Faraday Discussions.

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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