Magdalena Iwanicka

62 total papers · 650 total citations
29 papers, 408 citations indexed

About

Magdalena Iwanicka is a scholar working on Archeology, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Magdalena Iwanicka has authored 29 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Archeology, 13 papers in Biomedical Engineering and 8 papers in Computational Mechanics. Recurrent topics in Magdalena Iwanicka's work include Cultural Heritage Materials Analysis (20 papers), Optical Coherence Tomography Applications (12 papers) and Laser Material Processing Techniques (7 papers). Magdalena Iwanicka is often cited by papers focused on Cultural Heritage Materials Analysis (20 papers), Optical Coherence Tomography Applications (12 papers) and Laser Material Processing Techniques (7 papers). Magdalena Iwanicka collaborates with scholars based in Poland, Italy and Netherlands. Magdalena Iwanicka's co-authors include Piotr Targowski, Marcin Sylwestrzak, Marco Malagodi, Patrizia Moretti, Giacomo Fiocco, Claudia Invernizzi, Costanza Miliani, Maurizio Licchelli, Laura Cartechini and Danilo Bersani and has published in prestigious journals such as Angewandte Chemie International Edition, Accounts of Chemical Research and Applied Physics A.

In The Last Decade

Magdalena Iwanicka

25 papers receiving 398 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Magdalena Iwanicka 237 144 116 101 96 29 408
Marcin Sylwestrzak 147 0.6× 232 1.6× 60 0.5× 77 0.8× 54 0.6× 28 428
Daniele Ciofini 248 1.0× 84 0.6× 123 1.1× 120 1.2× 140 1.5× 36 471
Marika Spring 303 1.3× 144 1.0× 208 1.8× 17 0.2× 196 2.0× 18 482
Jens Hildenhagen 277 1.2× 42 0.3× 115 1.0× 191 1.9× 144 1.5× 21 418
Vladan Desnica 202 0.9× 26 0.2× 111 1.0× 16 0.2× 109 1.1× 31 474
Anna Mazzinghi 281 1.2× 27 0.2× 189 1.6× 55 0.5× 126 1.3× 37 384
Gianluca Poldi 434 1.8× 11 0.1× 347 3.0× 26 0.3× 293 3.1× 33 487
Aaron Shugar 202 0.9× 16 0.1× 64 0.6× 30 0.3× 75 0.8× 30 367
Francesca Piqué 287 1.2× 14 0.1× 231 2.0× 7 0.1× 288 3.0× 29 412
Elin Figueiredo 300 1.3× 16 0.1× 35 0.3× 26 0.3× 26 0.3× 36 420

Countries citing papers authored by Magdalena Iwanicka

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Iwanicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Iwanicka

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

All Works

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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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