Marta Kasprzak
- Molecular Biology
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Genetics
- Plant Science
- Co-authors
- Jacek BłażewiczPiotr FormanowiczWojciech T. MarkiewiczJan WęglarzFred GloverFrédéric GuinandMarek FiglerowiczAgnieszka Rybarczyk
- Topics
- Genomics and Phylogenetic Studies (27 papers)DNA and Biological Computing (20 papers)Algorithms and Data Compression (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Marta Kasprzak
48 papers receiving 453 citations
Peers
Comparison fields: 5 of 49
- Molecular Biology 386
- Artificial Intelligence 190
- Computational Theory and Mathematics 68
- Genetics 63
- Plant Science 30
Countries citing papers authored by Marta Kasprzak
This map shows the geographic impact of Marta Kasprzak'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 Marta Kasprzak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Kasprzak more than expected).
Fields of papers citing papers by Marta Kasprzak
This network shows the impact of papers produced by Marta Kasprzak. 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 Marta Kasprzak. The network helps show where Marta Kasprzak may publish in the future.
Co-authorship network of co-authors of Marta Kasprzak
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Kasprzak. A scholar is included among the top collaborators of Marta Kasprzak 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 Marta Kasprzak. Marta Kasprzak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | Graph reduction and its application to DNA sequence assembly | 3 |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | An algorithm for isothermic DNA sequencing | 1 |
| 12 | On the complexity of the Double Digest Problem | 4 |
| 13 | 16 | |
| 14 | 15 | |
| 15 | 16 | |
| 16 | 39 | |
| 17 | 8 | |
| 18 | 21 | |
| 19 | 47 | |
| 20 | Selected combinatorial optimization problem arising in molecular biology | 2 |
About Marta Kasprzak
Marta Kasprzak is a scholar working on Molecular Biology, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 50 papers that have together received 469 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (27 papers), DNA and Biological Computing (20 papers) and Algorithms and Data Compression (19 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Molecular Biology (386 citations) and Computational Theory and Mathematics (68 citations). Marta Kasprzak has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Jacek Błażewicz, Piotr Formanowicz, Wojciech T. Markiewicz, Jan Węglarz, Fred Glover, Frédéric Guinand, Marek Figlerowicz, Agnieszka Rybarczyk, Piotr Gawron and Lukasz Szajkowski. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.