Maciej Barycki

413 total citations
13 papers, 336 citations indexed

About

Maciej Barycki is a scholar working on Catalysis, Environmental Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Maciej Barycki has authored 13 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Catalysis, 6 papers in Environmental Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Maciej Barycki's work include Ionic liquids properties and applications (10 papers), Chemistry and Chemical Engineering (6 papers) and Computational Drug Discovery Methods (5 papers). Maciej Barycki is often cited by papers focused on Ionic liquids properties and applications (10 papers), Chemistry and Chemical Engineering (6 papers) and Computational Drug Discovery Methods (5 papers). Maciej Barycki collaborates with scholars based in Poland, United Kingdom and Japan. Maciej Barycki's co-authors include Tomasz Puzyn, Anita Sosnowska, Anna Rybińska‐Fryca, Karolina Jagiełło, Agnieszka Gajewicz, Russell J. Davenport, Kishor Acharya, Wojciech Mrozik, Paola Meynet and David Werner and has published in prestigious journals such as Water Research, Journal of Hazardous Materials and Chemosphere.

In The Last Decade

Maciej Barycki

13 papers receiving 334 citations

Peers

Maciej Barycki

CATAL

CTM

ELECT

Anna Rybińska‐Fryca Poland

Anita Sosnowska Poland

David J. Couling United States

Piotr Urbaszek Poland

Márcio V. Rebouças Brazil

Paulo de Morais Portugal

Thomas Brouwer Netherlands

И. В. Капитанов Ukraine

Artashes A. Khachatrian Russia

Anna Rybińska‐Fryca Poland

Maciej Barycki

169 ×0.9

CATAL

95 ×0.9

CTM

76 ×1.0

57 ×0.9

ELECT

89 ×1.8

Citations per year, relative to Maciej Barycki Maciej Barycki (= 1×) peers Anna Rybińska‐Fryca

Countries citing papers authored by Maciej Barycki

Since Specialization

Citations

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

Fields of papers citing papers by Maciej Barycki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Barycki

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

All Works

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13 of 13 papers shown

Acharya, Kishor, David Werner, Jan Dolfing, et al.. (2019). A quantitative structure-biodegradation relationship (QSBR) approach to predict biodegradation rates of aromatic chemicals. Water Research. 157. 181–190. 45 indexed citations

Sosnowska, Anita, Anna Rybińska‐Fryca, Maciej Barycki, Karolina Jagiełło, & Tomasz Puzyn. (2018). Chemoinformatic Approach to Assess Toxicity of Ionic Liquids. Methods in molecular biology. 1800. 559–571. 2 indexed citations

Barycki, Maciej, Anita Sosnowska, & Tomasz Puzyn. (2018). AquaBoxIL – a computational tool for determining the environmental distribution profile of ionic liquids. Green Chemistry. 20(14). 3359–3370. 7 indexed citations

Barycki, Maciej, Anita Sosnowska, Karolina Jagiełło, & Tomasz Puzyn. (2018). Multi-Objective Genetic Algorithm (MOGA) As a Feature Selecting Strategy in the Development of Ionic Liquids’ Quantitative Toxicity–Toxicity Relationship Models. Journal of Chemical Information and Modeling. 58(12). 2467–2476. 17 indexed citations

Barycki, Maciej, Anita Sosnowska, & Tomasz Puzyn. (2016). Which structural features stand behind micelization of ionic liquids? Quantitative Structure-Property Relationship studies. Journal of Colloid and Interface Science. 487. 475–483. 14 indexed citations

Sosnowska, Anita, et al.. (2016). How the structure of ionic liquid affects its toxicity to Vibrio fischeri?. Chemosphere. 159. 199–207. 46 indexed citations

Barycki, Maciej, et al.. (2016). ILPC: simple chemometric tool supporting the design of ionic liquids. Journal of Cheminformatics. 8(1). 40–40. 9 indexed citations

Rybińska‐Fryca, Anna, Anita Sosnowska, Maciej Barycki, & Tomasz Puzyn. (2016). Geometry optimization method versus predictive ability in QSPR modeling for ionic liquids. Journal of Computer-Aided Molecular Design. 30(2). 165–176. 25 indexed citations

Sosnowska, Anita, Maciej Barycki, Agnieszka Gajewicz, et al.. (2016). Towards the Application of Structure–Property Relationship Modeling in Materials Science: Predicting the Seebeck Coefficient for Ionic Liquid/Redox Couple Systems. ChemPhysChem. 17(11). 1591–1600. 19 indexed citations

10.

Barycki, Maciej, Anita Sosnowska, Agnieszka Gajewicz, et al.. (2016). Temperature-dependent structure-property modeling of viscosity for ionic liquids. Fluid Phase Equilibria. 427. 9–17. 36 indexed citations

11.

Rybińska‐Fryca, Anna, et al.. (2015). Filling environmental data gaps with QSPR for ionic liquids: Modeling n-octanol/water coefficient. Journal of Hazardous Materials. 303. 137–144. 34 indexed citations

12.

Sosnowska, Anita, et al.. (2014). Towards designing environmentally safe ionic liquids: the influence of the cation structure. Green Chemistry. 16(11). 4749–4757. 55 indexed citations

13.

Sosnowska, Anita, Maciej Barycki, Karolina Jagiełło, et al.. (2014). Predicting enthalpy of vaporization for Persistent Organic Pollutants with Quantitative Structure–Property Relationship (QSPR) incorporating the influence of temperature on volatility. Atmospheric Environment. 87. 10–18. 27 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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