Adam Gudyś

693 total citations
18 papers, 336 citations indexed

About

Adam Gudyś is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Adam Gudyś has authored 18 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Adam Gudyś's work include Genomics and Phylogenetic Studies (10 papers), Data Mining Algorithms and Applications (5 papers) and Algorithms and Data Compression (5 papers). Adam Gudyś is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Data Mining Algorithms and Applications (5 papers) and Algorithms and Data Compression (5 papers). Adam Gudyś collaborates with scholars based in Poland, Netherlands and Germany. Adam Gudyś's co-authors include Sebastian Deorowicz, Marek Sikora, Agnieszka Debudaj-Grabysz, Michał Wojciech Szcześniak, Izabela Makałowska, Łukasz Wróbel, Andrzej Zieleziński, Marek Kokot, Michał Kabza and Maciej Długosz and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Methods.

In The Last Decade

Adam Gudyś

17 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Gudyś Poland	9	216	66	57	54	53	18	336
Antonino Fiannaca Italy	14	338 1.6×	54 0.8×	106 1.9×	23 0.4×	27 0.5×	37	471
Filippo Utro United States	11	348 1.6×	141 2.1×	39 0.7×	46 0.9×	17 0.3×	48	490
Phillip E. C. Compeau United States	6	325 1.5×	96 1.5×	22 0.4×	93 1.7×	51 1.0×	7	445
Marcel Turcotte Canada	12	596 2.8×	34 0.5×	33 0.6×	36 0.7×	40 0.8×	33	681
Sriram P. Chockalingam United States	9	207 1.0×	88 1.3×	22 0.4×	52 1.0×	26 0.5×	22	308
Pushkala Jayaraman United States	10	154 0.7×	56 0.8×	21 0.4×	11 0.2×	24 0.5×	22	322
R. A. Leo Elworth United States	10	227 1.1×	41 0.6×	14 0.2×	32 0.6×	35 0.7×	17	347
Xiaowei Xue China	8	477 2.2×	60 0.9×	41 0.7×	20 0.4×	25 0.5×	13	713
Jun Mashima Japan	17	468 2.2×	19 0.3×	60 1.1×	57 1.1×	123 2.3×	24	625

Countries citing papers authored by Adam Gudyś

Since Specialization

Citations

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

Fields of papers citing papers by Adam Gudyś

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Gudyś

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

All Works

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18 of 18 papers shown

Zieleziński, Andrzej, et al.. (2025). Ultrafast and accurate sequence alignment and clustering of viral genomes. Nature Methods. 22(6). 1191–1194. 5 indexed citations

Deorowicz, Sebastian & Adam Gudyś. (2024). Efficient protein structure archiving using ProteStAr. Bioinformatics. 40(7).

Gudyś, Adam, Marek Sikora, & Łukasz Wróbel. (2024). Separate and conquer heuristic allows robust mining of contrast sets in classification, regression, and survival data. Expert Systems with Applications. 248. 123376–123376. 1 indexed citations

Deorowicz, Sebastian, et al.. (2023). Towards the accurate alignment of over a million protein sequences: Current state of the art. Current Opinion in Structural Biology. 80. 102577–102577. 5 indexed citations

Kokot, Marek, Adam Gudyś, Heng Li, & Sebastian Deorowicz. (2022). CoLoRd: compressing long reads. Nature Methods. 19(4). 441–444. 9 indexed citations

Zieleziński, Andrzej, Sebastian Deorowicz, & Adam Gudyś. (2021). PHIST: fast and accurate prediction of prokaryotic hosts from metagenomic viral sequences. Bioinformatics. 38(5). 1447–1449. 31 indexed citations

Deorowicz, Sebastian & Adam Gudyś. (2021). Whisper 2: Indel-sensitive short read mapping. SoftwareX. 14. 100692–100692. 1 indexed citations

Gudyś, Adam, Marek Sikora, & Łukasz Wróbel. (2020). RuleKit: A comprehensive suite for rule-based learning. Knowledge-Based Systems. 194. 105480–105480. 19 indexed citations

Sikora, Marek, Łukasz Wróbel, & Adam Gudyś. (2019). GuideR: A guided separate-and-conquer rule learning in classification, regression, and survival settings. Knowledge-Based Systems. 173. 1–14. 30 indexed citations

10.

Deorowicz, Sebastian, Agnieszka Debudaj-Grabysz, Adam Gudyś, & Szymon Grabowski. (2018). Whisper: read sorting allows robust mapping of DNA sequencing data. Bioinformatics. 35(12). 2043–2050. 5 indexed citations

11.

Deorowicz, Sebastian, et al.. (2018). Kmer-db: instant evolutionary distance estimation. Bioinformatics. 35(1). 133–136. 22 indexed citations

12.

Wróbel, Łukasz, Adam Gudyś, & Marek Sikora. (2017). Learning rule sets from survival data. BMC Bioinformatics. 18(1). 285–285. 9 indexed citations

13.

Deorowicz, Sebastian, Agnieszka Debudaj-Grabysz, & Adam Gudyś. (2016). FAMSA: Fast and accurate multiple sequence alignment of huge protein families. Scientific Reports. 6(1). 33964–33964. 95 indexed citations

14.

Gudyś, Adam & Sebastian Deorowicz. (2014). QuickProbs—A Fast Multiple Sequence Alignment Algorithm Designed for Graphics Processors. PLoS ONE. 9(2). e88901–e88901. 8 indexed citations

15.

Gudyś, Adam, Michał Wojciech Szcześniak, Marek Sikora, & Izabela Makałowska. (2013). HuntMi: an efficient and taxon-specific approach in pre-miRNA identification. BMC Bioinformatics. 14(1). 83–83. 57 indexed citations

16.

Szcześniak, Michał Wojciech, et al.. (2013). ERISdb: A Database of Plant Splice Sites and Splicing Signals. Plant and Cell Physiology. 54(2). e10–e10. 36 indexed citations

17.

Sikora, Marek & Adam Gudyś. (2013). CHIRA—Convex Hull Based Iterative Algorithm of Rules Aggregation. Fundamenta Informaticae. 123(2). 143–170. 2 indexed citations

18.

Gudyś, Adam & Sebastian Deorowicz. (2012). A PARALLEL ALGORITHM FOR THE CONSTRAINED MULTIPLE SEQUENCE ALIGNMENT PROBLEM DESIGNED FOR GPUs. International Journal of Foundations of Computer Science. 23(4). 877–901. 1 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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