Andrius Merkys

5.0k total citations · 4 hit papers
15 papers, 3.5k citations indexed

About

Andrius Merkys is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Physical and Theoretical Chemistry. According to data from OpenAlex, Andrius Merkys has authored 15 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Computational Theory and Mathematics and 5 papers in Physical and Theoretical Chemistry. Recurrent topics in Andrius Merkys's work include Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (5 papers) and Crystallography and molecular interactions (4 papers). Andrius Merkys is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (5 papers) and Crystallography and molecular interactions (4 papers). Andrius Merkys collaborates with scholars based in Lithuania, Spain and United Kingdom. Andrius Merkys's co-authors include S. Gražulis, Antanas Vaitkus, M. Quirós, Giovanni Pizzi, Antimo Marrazzo, Marco Gibertini, Andrea Cepellotti, Philippe Schwaller, Nicolas Mounet and Ivano E. Castelli and has published in prestigious journals such as Nucleic Acids Research, Nature Nanotechnology and Journal of Applied Crystallography.

In The Last Decade

Andrius Merkys

15 papers receiving 3.4k citations

Hit Papers

Two-dimensional materials... 2011 2026 2016 2021 2018 2011 2017 2021 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrius Merkys Lithuania 11 2.3k 771 380 321 320 15 3.5k
Peter Moeck United States 17 1.9k 0.8× 560 0.7× 440 1.2× 416 1.3× 316 1.0× 94 3.2k
Abhijit Chatterjee India 34 1.7k 0.7× 946 1.2× 313 0.8× 510 1.6× 453 1.4× 204 3.9k
Tao Yu China 36 2.0k 0.8× 769 1.0× 319 0.8× 366 1.1× 416 1.3× 219 4.0k
Min Gu China 31 1.6k 0.7× 881 1.1× 607 1.6× 501 1.6× 304 0.9× 158 3.0k
Christopher L. Farrow United States 15 2.6k 1.1× 926 1.2× 844 2.2× 209 0.7× 118 0.4× 21 4.0k
S. Gražulis Lithuania 29 2.1k 0.9× 615 0.8× 352 0.9× 378 1.2× 168 0.5× 80 4.8k
Ferenc Borondics France 31 1.7k 0.7× 674 0.9× 309 0.8× 578 1.8× 454 1.4× 127 3.7k
Weihua Zhu China 37 3.7k 1.6× 504 0.7× 618 1.6× 226 0.7× 269 0.8× 375 5.8k
Dirk Zahn Germany 36 1.9k 0.8× 805 1.0× 322 0.8× 949 3.0× 725 2.3× 210 4.3k
Sven L. M. Schroeder United Kingdom 35 2.2k 0.9× 598 0.8× 300 0.8× 471 1.5× 505 1.6× 128 3.8k

Countries citing papers authored by Andrius Merkys

Since Specialization
Citations

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

Fields of papers citing papers by Andrius Merkys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrius Merkys

This figure shows the co-authorship network connecting the top 25 collaborators of Andrius Merkys. A scholar is included among the top collaborators of Andrius Merkys 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 Andrius Merkys. Andrius Merkys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Merkys, Andrius, et al.. (2023). Graph isomorphism-based algorithm for cross-checking chemical and crystallographic descriptions. Journal of Cheminformatics. 15(1). 25–25. 53 indexed citations
2.
Vaitkus, Antanas, Andrius Merkys, Thomas Sander, et al.. (2023). A workflow for deriving chemical entities from crystallographic data and its application to the Crystallography Open Database. Journal of Cheminformatics. 15(1). 123–123. 57 indexed citations
3.
Merkys, Andrius, et al.. (2022). Proving the correctness of the algorithm for building a crystallographic space group. Journal of Applied Crystallography. 55(3). 515–525. 1 indexed citations
4.
Vaitkus, Antanas, Andrius Merkys, & S. Gražulis. (2021). Validation of the Crystallography Open Database using the Crystallographic Information Framework. Journal of Applied Crystallography. 54(2). 661–672. 252 indexed citations breakdown →
5.
Vaitkus, Antanas, et al.. (2021). Improvements to the data search and validation functionality in the Crystallography Open Database. Acta Crystallographica Section A Foundations and Advances. 77(a2). C814–C814. 1 indexed citations
6.
Andersen, Casper Welzel, Rickard Armiento, Evgeny Blokhin, et al.. (2020). The OPTIMADE Specification. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
7.
Mendili, Yassine El, Antanas Vaitkus, Andrius Merkys, et al.. (2019). Raman Open Database: first interconnected Raman–X-ray diffraction open-access resource for material identification. Journal of Applied Crystallography. 52(3). 618–625. 38 indexed citations
8.
Quirós, M., et al.. (2018). Using SMILES strings for the description of chemical connectivity in the Crystallography Open Database. Journal of Cheminformatics. 10(1). 23–23. 175 indexed citations
9.
Mounet, Nicolas, Marco Gibertini, Philippe Schwaller, et al.. (2018). Two-dimensional materials from high-throughput computational exfoliation of experimentally known compounds. Nature Nanotechnology. 13(3). 246–252. 1374 indexed citations breakdown →
10.
Long, Fei, Robert A. Nicholls, Paul Emsley, et al.. (2017). Validation and extraction of molecular-geometry information from small-molecule databases. Acta Crystallographica Section D Structural Biology. 73(2). 103–111. 15 indexed citations
11.
Long, Fei, Robert A. Nicholls, Paul Emsley, et al.. (2017). AceDRG: a stereochemical description generator for ligands. Acta Crystallographica Section D Structural Biology. 73(2). 112–122. 261 indexed citations breakdown →
12.
Gražulis, S., et al.. (2015). Computing stoichiometric molecular composition from crystal structures. Journal of Applied Crystallography. 48(1). 85–91. 150 indexed citations
13.
Merkys, Andrius, et al.. (2015). COD::CIF::Parser: an error-correcting CIF parser for the Perl language. Journal of Applied Crystallography. 49(1). 292–301. 155 indexed citations
14.
Gražulis, S., Andrius Merkys, Antanas Vaitkus, et al.. (2014). Launching the Theoretical Crystallography Open Database. Acta Crystallographica Section A Foundations and Advances. 70(a1). C1736–C1736. 2 indexed citations
15.
Gražulis, S., Andrius Merkys, Daniel Chateigner, et al.. (2011). Crystallography Open Database (COD): an open-access collection of crystal structures and platform for world-wide collaboration. Nucleic Acids Research. 40(D1). D420–D427. 918 indexed citations breakdown →

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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