Maria Mucha

2.9k total citations · 1 hit paper
85 papers, 2.5k citations indexed

About

Maria Mucha is a scholar working on Biomaterials, Polymers and Plastics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Maria Mucha has authored 85 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomaterials, 34 papers in Polymers and Plastics and 16 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Maria Mucha's work include biodegradable polymer synthesis and properties (24 papers), Polymer Nanocomposites and Properties (19 papers) and Polymer crystallization and properties (18 papers). Maria Mucha is often cited by papers focused on biodegradable polymer synthesis and properties (24 papers), Polymer Nanocomposites and Properties (19 papers) and Polymer crystallization and properties (18 papers). Maria Mucha collaborates with scholars based in Poland, United States and Bulgaria. Maria Mucha's co-authors include Jacek Balcerzak, M. Κryszewski, Halina Kaczmarek, Anna Wieczorek, Bernhard Wunderlich, Andrzej Gałęski, Ewa Piórkowska, Robert Masirek, Marcin Kozanecki and Dariusz Heim and has published in prestigious journals such as Progress in Polymer Science, Macromolecules and Polymer.

In The Last Decade

Maria Mucha

82 papers receiving 2.4k citations

Hit Papers

Thermogravimetric and FTIR studies of chitosan blends 2003 2026 2010 2018 2003 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Thermogravimetric and FTIR studies of chitosan blends
    2003 811 citations Maria Mucha et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Mucha Poland 23 1.2k 814 437 434 378 85 2.5k
Manohar V. Badiger India 29 591 0.5× 531 0.7× 638 1.5× 567 1.3× 422 1.1× 91 2.6k
Yoshiyuki Nishio Japan 31 2.0k 1.7× 1.1k 1.3× 683 1.6× 355 0.8× 454 1.2× 124 3.1k
Aldo Eloízo Job Brazil 30 1.1k 0.9× 1.1k 1.4× 985 2.3× 593 1.4× 209 0.6× 152 3.3k
J.L.C. Fonseca Brazil 28 958 0.8× 568 0.7× 503 1.2× 510 1.2× 106 0.3× 97 2.7k
Valeria Harabagiu Romania 27 840 0.7× 476 0.6× 563 1.3× 813 1.9× 192 0.5× 180 2.8k
Congde Qiao China 30 1.3k 1.2× 439 0.5× 686 1.6× 406 0.9× 209 0.6× 106 3.0k
Tariq Yasin Pakistan 33 1.3k 1.1× 1.0k 1.3× 804 1.8× 734 1.7× 137 0.4× 145 3.4k
Tahir Jamil Pakistan 34 818 0.7× 766 0.9× 937 2.1× 475 1.1× 140 0.4× 91 2.8k
Sarat K. Swain India 33 1.1k 1.0× 1.2k 1.5× 851 1.9× 997 2.3× 218 0.6× 204 3.4k
Aziz Hassan Malaysia 24 684 0.6× 1.0k 1.3× 405 0.9× 338 0.8× 137 0.4× 95 2.2k

Countries citing papers authored by Maria Mucha

Since Specialization
Citations

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

Fields of papers citing papers by Maria Mucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Mucha

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

All Works

20 of 20 papers shown
1.
Heim, Dariusz, et al.. (2018). Influence of Tylose MH1000 Content on Gypsum Thermal Conductivity. Journal of Materials in Civil Engineering. 30(3). 16 indexed citations
2.
Mucha, Maria, et al.. (2017). CHITOSAN/POLY(VINYL ALCOHOL) HYDROGELS AS CONTROLLED DRUG DELIVERY SYSTEMS. XXII. 97–105. 2 indexed citations
3.
Mucha, Maria, et al.. (2017). CHITOSAN APPLIED FOR GYPSUM MODIFICATION. XXII. 166–175. 3 indexed citations
4.
Mucha, Maria, et al.. (2016). Polymer composites based on gypsum matrix. AIP conference proceedings. 1736. 20119–20119. 13 indexed citations
5.
Mucha, Maria, et al.. (2015). THERMAL STABILITY OF CHITOSAN NANOCOMPOSITES CONTAINING TIO2 AND ORGANO-MODIFIED MONTMORILLONITE. XX. 122–129. 9 indexed citations
6.
Mucha, Maria, et al.. (2013). MODIFIED DIBUTYRYLCHITIN FILMS AS MATRICES FOR CONTROLLED IBUPROFEN RELEASE. 18(18). 139–147. 1 indexed citations
7.
Mucha, Maria, et al.. (2011). Biopolymeric matrices based on chitosan for medical applications. e-Polymers. 11(1). 6 indexed citations
8.
Balcerzak, Jacek & Maria Mucha. (2010). ANALYSIS OF MODEL DRUG RELEASE KINETICS FROM COMPLEX MATRICES OF POLYLACTIDE-CHITOSAN. 15. 117–126. 23 indexed citations
9.
Mucha, Maria, et al.. (2009). Modeling of water sorption isotherms of chitosan blends. Carbohydrate Polymers. 79(1). 34–39. 27 indexed citations
10.
Mucha, Maria, et al.. (2007). Analysis of Water Adsorption on Chitosan and Its Blends with Hydroxypropylcellulose. e-Polymers. 7(1). 26 indexed citations
11.
Mucha, Maria, et al.. (2003). Application of dsc to study crystallization kinetics of polypropylene containing fillers. Journal of Thermal Analysis and Calorimetry. 74(2). 549–557. 100 indexed citations
12.
Mucha, Maria. (2003). Modyfikacja właściwości papieru poprzez impregnację chitozanem i jego mieszaninami. PRZEGLĄD PAPIERNICZY. 59(11). 687–694. 1 indexed citations
13.
Mucha, Maria, et al.. (2000). Electrooptical Characterization of Various PDLC Materials. Molecular crystals and liquid crystals science technology. Section A, Molecular crystals and liquid crystals. 353(1). 417–426. 2 indexed citations
14.
Mucha, Maria, et al.. (1999). Effect of curing progress on the electrooptical and switching properties of PDLC system. Journal of Applied Polymer Science. 71(3). 455–463. 42 indexed citations
15.
Mucha, Maria. (1998). Rheological properties of chitosan blends with poly(ethylene oxide) and poly(vinyl alcohol) in solution. Reactive and Functional Polymers. 38(1). 19–25. 54 indexed citations
16.
Mucha, Maria. (1997). Rheological characteristics of semi‐dilute chitosan solutions. Macromolecular Chemistry and Physics. 198(2). 471–484. 87 indexed citations
17.
18.
Mucha, Maria. (1986). Oxygen uptake by isotactic polypropylene of different morphological structure. Colloid & Polymer Science. 264(2). 113–116. 11 indexed citations
19.
Mucha, Maria. (1986). Miscibility of isotactic polypropylene with atactic polystyrene. Colloid & Polymer Science. 264(10). 859–865. 15 indexed citations
20.
Mucha, Maria & M. Κryszewski. (1980). The effect of morphology on thermal stability of isotactic polypropylene in air. Colloid & Polymer Science. 258(6). 743–752. 23 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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