Ján Rohlíček

2.8k citations
126 papers · 2.0k · h-index 24

Impact in

Papers in

Ján Rohlíček

121 papers receiving 1.9k citations

Peers

Ján Rohlíček
Comparison fields: 5 of 136
  • Signal Processing 401
  • Physical and Theoretical Chemistry 266
  • Inorganic Chemistry 301
  • Artificial Intelligence 656
  • Materials Chemistry 630
Replace Katsumi Tanaka with:
Katsumi Tanaka Japan
R. Bremananth United States
Ulrich Nickel Germany
Jarek Nieplocha United States
Lemin Li China
John F. Dobson Australia
Ken–ichi Fukui Japan
Ruifeng Liu China
Hiroyuki Kawano Japan
Ján Rohlíček relative to Katsumi Tanaka Japan Katsumi Tanaka's profile →
Citations per field
00.5×3.9×
Katsumi Tanaka · 1×
Citations per year

Countries citing papers authored by Ján Rohlíček

Since Specialization
Citations

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

Fields of papers citing papers by Ján Rohlíček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993187
2 2007142
3 2003133
4 201690
5 201277
6 199175
7 201859
8 201847
9 199547
10 201245
11 200239
12 199437
13 201636
14 202035
15 199434
16 199333
17 201932
18 202230
19 201630
20 199230

About Ján Rohlíček

Ján Rohlíček is a scholar working on Materials Chemistry, Artificial Intelligence, Physical and Theoretical Chemistry, Inorganic Chemistry and Organic Chemistry, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include X-ray Diffraction in Crystallography (30 papers), Crystallography and molecular interactions (26 papers), Speech Recognition and Synthesis (19 papers), Metal-Organic Frameworks: Synthesis and Applications (13 papers), Crystallization and Solubility Studies (13 papers), Speech and Audio Processing (11 papers), Advanced NMR Techniques and Applications (10 papers) and Chemical Thermodynamics and Molecular Structure (10 papers). The work is most often cited by research in Signal Processing (401 citations), Physical and Theoretical Chemistry (266 citations), Inorganic Chemistry (301 citations), Artificial Intelligence (656 citations) and Materials Chemistry (630 citations). Ján Rohlíček has collaborated with scholars based in Czechia, United States and Tunisia. Frequent co-authors include Mari Ostendorf, Michal Hušák, Vassilios Digalakis, H. Gish, Eliška Skořepová, Salim Roukos, W. Russell, Vojtěch Štejfa, Michal Dušek and Jan Čejka. Their work appears in journals such as Crystal Growth & Design, Inorganic Chemistry, The Journal of Chemical Thermodynamics, American Mineralogist and Journal of Applied Crystallography.

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.

Explore authors with similar magnitude of impact