Mariola Tkaczyk

38 papers receiving 588 citations

Peers

Mariola Tkaczyk
Comparison fields: 5 of 55
  • Filtration and Separation 206
  • Fluid Flow and Transfer Processes 419
  • Organic Chemistry 348
  • Catalysis 70
  • Nutrition and Dietetics 96
Replace L. Palaniappan with:
L. Palaniappan India
Sneha A. Parke United Kingdom
Gurpreet Singh India
Alan D. Diamond United States
Kazuhito Kusano Japan
Melike Şahin Türkiye
Ashwani Kumar India
K. Rayapa Reddy India
Hamad Ashraf China
Von W. Burchard Germany
Mariola Tkaczyk relative to L. Palaniappan India L. Palaniappan's profile →
Citations per field
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L. Palaniappan · 1×
Citations per year

Countries citing papers authored by Mariola Tkaczyk

Since Specialization
Citations

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

Fields of papers citing papers by Mariola Tkaczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Mariola Tkaczyk, 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 Mariola Tkaczyk Line = papers co-authored together Mariola Tkaczyk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200369
2 199164
3 200529
4 200829
5 200228
6 200527
7 199526
8 201526
9 200424
10 198723
11 200419
12 201518
13 200616
14 200916
15 199715
16 200214
17 201714
18 200414
19 200014
20 200513

About Mariola Tkaczyk

Mariola Tkaczyk is a scholar working on Fluid Flow and Transfer Processes, Organic Chemistry, Filtration and Separation, Biomedical Engineering and Nutrition and Dietetics, having authored 38 papers that have together received 614 indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (33 papers), Chemical Thermodynamics and Molecular Structure (20 papers), Chemical and Physical Properties in Aqueous Solutions (17 papers), Phase Equilibria and Thermodynamics (14 papers), Surfactants and Colloidal Systems (6 papers), Food composition and properties (5 papers), Crystallization and Solubility Studies (3 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Filtration and Separation (206 citations), Fluid Flow and Transfer Processes (419 citations), Organic Chemistry (348 citations), Catalysis (70 citations) and Nutrition and Dietetics (96 citations). Mariola Tkaczyk has collaborated with scholars based in Poland and Slovenia. Frequent co-authors include Henryk Piekarski, Paweł Góralski, Mirosław Chorążewski, Ewa Nebesny, Edward Zorębski, Justyna Rosicka‐Kaczmarek, Stefania Taniewska-Osińska, Michał Wasiak, Adam Szejgis and I. Zasada. Their work appears in journals such as Journal of Chemical & Engineering Data, Thermochimica Acta, Journal of Molecular Liquids, The Journal of Chemical Thermodynamics and Journal of Thermal Analysis and Calorimetry.

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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