Marek Kokot

1.3k total citations · 1 hit paper
12 papers, 620 citations indexed

About

Marek Kokot is a scholar working on Molecular Biology, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Marek Kokot has authored 12 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Civil and Structural Engineering. Recurrent topics in Marek Kokot's work include Algorithms and Data Compression (5 papers), Structural Health Monitoring Techniques (4 papers) and Genomics and Phylogenetic Studies (4 papers). Marek Kokot is often cited by papers focused on Algorithms and Data Compression (5 papers), Structural Health Monitoring Techniques (4 papers) and Genomics and Phylogenetic Studies (4 papers). Marek Kokot collaborates with scholars based in Poland, United States and Germany. Marek Kokot's co-authors include Sebastian Deorowicz, Maciej Długosz, Agnieszka Debudaj-Grabysz, Szymon Grabowski, Adam Gudyś, Rob Patro, Piotr Olaszek, Heng Li, Jan Holnicki‐Szulc and Yoann Dufresne and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Nature Methods.

In The Last Decade

Marek Kokot

12 papers receiving 608 citations

Hit Papers

KMC 3: counting and manipulating k-mer statistics 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Kokot Poland 6 442 163 140 113 79 12 620
Guillaume Rizk France 10 572 1.3× 177 1.1× 246 1.8× 116 1.0× 102 1.3× 12 804
Lin Dai China 8 320 0.7× 214 1.3× 97 0.7× 61 0.5× 51 0.6× 26 645
Pierre Peterlongo France 15 616 1.4× 147 0.9× 138 1.0× 124 1.1× 138 1.7× 52 818
Leena Salmela Finland 12 751 1.7× 280 1.7× 200 1.4× 136 1.2× 127 1.6× 35 1.1k
Maciej Długosz Poland 4 284 0.6× 134 0.8× 56 0.4× 96 0.8× 61 0.8× 4 413
Hamid Mohamadi Canada 13 624 1.4× 249 1.5× 146 1.0× 152 1.3× 169 2.1× 25 1.0k
Benjamin P. Vandervalk Canada 12 717 1.6× 318 2.0× 123 0.9× 199 1.8× 200 2.5× 22 1.1k
Andrew Butterfield Ireland 8 261 0.6× 123 0.8× 75 0.5× 94 0.8× 78 1.0× 32 649
Dominique Lavenier France 17 605 1.4× 133 0.8× 285 2.0× 88 0.8× 120 1.5× 66 1.1k

Countries citing papers authored by Marek Kokot

Since Specialization
Citations

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

Fields of papers citing papers by Marek Kokot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Kokot

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

All Works

12 of 12 papers shown
1.
Kokot, Marek, et al.. (2024). Scalable and unsupervised discovery from raw sequencing reads using SPLASH2. Nature Biotechnology. 43(7). 1084–1090. 3 indexed citations
2.
Dufresne, Yoann, Pierre Marijon, Pierre Peterlongo, et al.. (2022). The K-mer File Format: a standardized and compact disk representation of sets ofk-mers. Bioinformatics. 38(18). 4423–4425. 5 indexed citations
3.
Kokot, Marek, Adam Gudyś, Heng Li, & Sebastian Deorowicz. (2022). CoLoRd: compressing long reads. Nature Methods. 19(4). 441–444. 9 indexed citations
4.
Kokot, Marek, et al.. (2022). Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2. Genome biology. 23(1). 190–190. 22 indexed citations
5.
Deorowicz, Sebastian, et al.. (2021). VCFShark: how to squeeze a VCF file. Bioinformatics. 37(19). 3358–3360. 5 indexed citations
6.
Olaszek, Piotr, et al.. (2020). Monitoring of the Static and Dynamic Displacements of Railway Bridges with the Use of Inertial Sensors. Sensors. 20(10). 2767–2767. 17 indexed citations
7.
Olaszek, Piotr, et al.. (2019). Monitoring of the static and dynamic displacements of railway bridges with the use of the total station and set of the electronic devices. 2 indexed citations
8.
Deorowicz, Sebastian, et al.. (2018). Kmer-db: instant evolutionary distance estimation. Bioinformatics. 35(1). 133–136. 22 indexed citations
9.
Kokot, Marek, Maciej Długosz, & Sebastian Deorowicz. (2017). KMC 3: counting and manipulating k-mer statistics. Bioinformatics. 33(17). 2759–2761. 364 indexed citations breakdown →
10.
Deorowicz, Sebastian, Marek Kokot, Szymon Grabowski, & Agnieszka Debudaj-Grabysz. (2015). KMC 2: fast and resource-frugal k-mer counting. Bioinformatics. 31(10). 1569–1576. 167 indexed citations
11.
Kokot, Marek & Jan Holnicki‐Szulc. (2009). Defect Identification in Electrical Circuits via the Virtual Distortion Method. Part 1: Steady-state Case. Journal of Intelligent Material Systems and Structures. 20(12). 1465–1473. 2 indexed citations
12.
Kokot, Marek & Jan Holnicki‐Szulc. (2005). Health Monitoring of Electric Circuits. Key engineering materials. 293-294. 669–676. 2 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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