Andrei V. Kazantsev

1.0k total citations
6 papers, 474 citations indexed

About

Andrei V. Kazantsev is a scholar working on Physical and Theoretical Chemistry, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Andrei V. Kazantsev has authored 6 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physical and Theoretical Chemistry, 6 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Andrei V. Kazantsev's work include Crystallography and molecular interactions (6 papers), Crystallization and Solubility Studies (4 papers) and Computational Drug Discovery Methods (3 papers). Andrei V. Kazantsev is often cited by papers focused on Crystallography and molecular interactions (6 papers), Crystallization and Solubility Studies (4 papers) and Computational Drug Discovery Methods (3 papers). Andrei V. Kazantsev collaborates with scholars based in United Kingdom. Andrei V. Kazantsev's co-authors include Constantinos C. Pantelides, Claire S. Adjiman, P.G. Karamertzanis, Sarah L. Price, Nizar Issa, Gareth W. A. Welch, Matthew Habgood, Isaac J. Sugden, Graeme M. Day and Peter T. A. Galek and has published in prestigious journals such as International Journal of Pharmaceutics, Journal of Chemical Theory and Computation and Acta Crystallographica Section B Structural Science.

In The Last Decade

Andrei V. Kazantsev

6 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrei V. Kazantsev United Kingdom 6 365 355 89 78 78 6 474
Isaac J. Sugden United Kingdom 12 285 0.8× 235 0.7× 46 0.5× 59 0.8× 66 0.8× 19 414
Theresa Beyer United Kingdom 4 285 0.8× 289 0.8× 36 0.4× 97 1.2× 61 0.8× 5 459
Christopher R. Taylor United Kingdom 8 255 0.7× 239 0.7× 43 0.5× 74 0.9× 44 0.6× 8 353
Nizar Issa United Kingdom 4 293 0.8× 304 0.9× 49 0.6× 93 1.2× 39 0.5× 7 349
Peter J. Bygrave United Kingdom 7 237 0.6× 163 0.5× 47 0.5× 40 0.5× 84 1.1× 9 377
Carl J. Tilbury United States 8 278 0.8× 140 0.4× 36 0.4× 46 0.6× 36 0.5× 8 333
Kevin Back United Kingdom 9 321 0.9× 162 0.5× 20 0.2× 69 0.9× 78 1.0× 12 410
Alexey A. Rykounov Russia 10 178 0.5× 247 0.7× 24 0.3× 136 1.7× 42 0.5× 14 386
P. M. Zorky Russia 10 159 0.4× 234 0.7× 31 0.3× 216 2.8× 75 1.0× 13 432
Peter I. Maxwell United Kingdom 9 128 0.4× 147 0.4× 62 0.7× 114 1.5× 59 0.8× 10 356

Countries citing papers authored by Andrei V. Kazantsev

Since Specialization
Citations

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

Fields of papers citing papers by Andrei V. Kazantsev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrei V. Kazantsev. 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 Andrei V. Kazantsev. The network helps show where Andrei V. Kazantsev may publish in the future.

Co-authorship network of co-authors of Andrei V. Kazantsev

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

All Works

6 of 6 papers shown
1.
Habgood, Matthew, Isaac J. Sugden, Andrei V. Kazantsev, Claire S. Adjiman, & Constantinos C. Pantelides. (2015). Efficient Handling of Molecular Flexibility in Ab Initio Generation of Crystal Structures. Journal of Chemical Theory and Computation. 11(4). 1957–1969. 64 indexed citations
2.
Pantelides, Constantinos C., Claire S. Adjiman, & Andrei V. Kazantsev. (2014). General Computational Algorithms for Ab Initio Crystal Structure Prediction for Organic Molecules. Topics in current chemistry. 345. 25–58. 32 indexed citations
3.
Vasileiadis, Manolis, Andrei V. Kazantsev, P.G. Karamertzanis, Claire S. Adjiman, & Constantinos C. Pantelides. (2012). The polymorphs of ROY: application of a systematic crystal structure prediction technique. Acta Crystallographica Section B Structural Science. 68(6). 677–685. 54 indexed citations
4.
Kazantsev, Andrei V., P.G. Karamertzanis, Claire S. Adjiman, et al.. (2011). Successful prediction of a model pharmaceutical in the fifth blind test of crystal structure prediction. International Journal of Pharmaceutics. 418(2). 168–178. 94 indexed citations
5.
Kazantsev, Andrei V., P.G. Karamertzanis, Claire S. Adjiman, & Constantinos C. Pantelides. (2011). Efficient Handling of Molecular Flexibility in Lattice Energy Minimization of Organic Crystals. Journal of Chemical Theory and Computation. 7(6). 1998–2016. 111 indexed citations
6.
Karamertzanis, P.G., Andrei V. Kazantsev, Nizar Issa, et al.. (2009). Can the Formation of Pharmaceutical Cocrystals Be Computationally Predicted? 2. Crystal Structure Prediction. Journal of Chemical Theory and Computation. 5(5). 1432–1448. 119 indexed citations

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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