Norbert Dojer

1.4k total citations
17 papers, 927 citations indexed

About

Norbert Dojer is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Norbert Dojer has authored 17 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Artificial Intelligence and 2 papers in Genetics. Recurrent topics in Norbert Dojer's work include Genomics and Chromatin Dynamics (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Genomics and Phylogenetic Studies (4 papers). Norbert Dojer is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Genomics and Phylogenetic Studies (4 papers). Norbert Dojer collaborates with scholars based in Poland, United States and France. Norbert Dojer's co-authors include Bartek Wilczyński, Maga Rowicka, Magdalena Skrzypczak, Krzysztof Ginalski, Abhishek Mitra, Philippe Pasero, Ivan Đikić, Nicola Crosetto, Maria João Silva and Roberto Chiarle and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

Norbert Dojer

15 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norbert Dojer Poland 11 824 104 103 77 71 17 927
Abhishek Mitra United States 11 539 0.7× 89 0.9× 64 0.6× 63 0.8× 114 1.6× 20 825
Chenyu Zhu China 14 644 0.8× 61 0.6× 89 0.9× 119 1.5× 54 0.8× 36 865
Albert Xu United States 8 802 1.0× 147 1.4× 44 0.4× 71 0.9× 70 1.0× 18 928
Florian Heigwer Germany 13 629 0.8× 81 0.8× 65 0.6× 65 0.8× 30 0.4× 21 894
Guohui Chuai China 14 827 1.0× 71 0.7× 49 0.5× 66 0.9× 45 0.6× 24 976
Reza Mirzazadeh Sweden 11 658 0.8× 100 1.0× 55 0.5× 45 0.6× 95 1.3× 15 755
Zhiming Dai China 14 508 0.6× 64 0.6× 69 0.7× 26 0.3× 73 1.0× 49 609
Yingbo Cui China 8 422 0.5× 54 0.5× 45 0.4× 61 0.8× 30 0.4× 26 511
Bin Duan China 11 534 0.6× 51 0.5× 28 0.3× 28 0.4× 52 0.7× 19 631
Xianhua Dai China 16 381 0.5× 58 0.6× 57 0.6× 20 0.3× 60 0.8× 87 700

Countries citing papers authored by Norbert Dojer

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Dojer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Dojer

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

All Works

17 of 17 papers shown
1.
Dojer, Norbert, et al.. (2020). Getting insight into the pan-genome structure with PangTree. BMC Genomics. 21(S2). 274–274.
2.
Zhu, Yingjie, Anna Biernacka, Benjamin Pardo, et al.. (2019). qDSB-Seq is a general method for genome-wide quantification of DNA double-strand breaks using sequencing. Nature Communications. 10(1). 2313–2313. 39 indexed citations
3.
Clouaire, Thomas, Vincent Rocher, Anahita Lashgari, et al.. (2018). Comprehensive Mapping of Histone Modifications at DNA Double-Strand Breaks Deciphers Repair Pathway Chromatin Signatures. Molecular Cell. 72(2). 250–262.e6. 223 indexed citations
4.
Krzysztoń, Michał, et al.. (2018). Defective XRN3‐mediated transcription termination in Arabidopsis affects the expression of protein‐coding genes. The Plant Journal. 93(6). 1017–1031. 30 indexed citations
5.
Dojer, Norbert. (2016). Learning Bayesian networks from datasets joining continuous and discrete variables. International Journal of Approximate Reasoning. 78. 116–124. 15 indexed citations
6.
Dąbrowski, Michał, Norbert Dojer, Izabella Krystkowiak, Bożena Kamińska, & Bartek Wilczyński. (2015). Optimally choosing PWM motif databases and sequence scanning approaches based on ChIP-seq data. BMC Bioinformatics. 16(1). 140–140. 11 indexed citations
7.
Búza, Krisztián, Bartek Wilczyński, & Norbert Dojer. (2015). RECORD: Reference-Assisted Genome Assembly for Closely Related Genomes. International Journal of Genomics. 2015. 1–10. 1 indexed citations
8.
Dojer, Norbert, et al.. (2014). MSARC: Multiple sequence alignment by residue clustering. Algorithms for Molecular Biology. 9(1). 12–12. 7 indexed citations
9.
Crosetto, Nicola, Abhishek Mitra, Maria João Silva, et al.. (2013). Nucleotide-resolution DNA double-strand break mapping by next-generation sequencing. Nature Methods. 10(4). 361–365. 353 indexed citations
10.
Yang, Jun, Abhishek Mitra, Norbert Dojer, et al.. (2013). A probabilistic approach to learn chromatin architecture and accurate inference of the NF-κB/RelA regulatory network using ChIP-Seq. Nucleic Acids Research. 41(15). 7240–7259. 37 indexed citations
11.
Dojer, Norbert, et al.. (2013). BNFinder2: Faster Bayesian network learning and Bayesian classification. Bioinformatics. 29(16). 2068–2070. 21 indexed citations
12.
Dąbrowski, Michał, Norbert Dojer, Małgorzata Zawadzka, Jakub Mieczkowski, & Bożena Kamińska. (2010). Comparative analysis of cis-regulation following stroke and seizures in subspaces of conserved eigensystems. BMC Systems Biology. 4(1). 86–86. 5 indexed citations
13.
Dojer, Norbert. (2010). An Efficient Algorithm for Learning Bayesian Networks from Data. Fundamenta Informaticae. 103(1-4). 53–67. 1 indexed citations
14.
Wilczyński, Bartek, et al.. (2009). Finding evolutionarily conserved cis-regulatory modules with a universal set of motifs. BMC Bioinformatics. 10(1). 82–82. 19 indexed citations
15.
Wilczyński, Bartek & Norbert Dojer. (2008). BNFinder: exact and efficient method for learning Bayesian networks. Bioinformatics. 25(2). 286–287. 62 indexed citations
16.
Dojer, Norbert, Anna Gambin, Andrzej Mizera, Bartek Wilczyński, & Jerzy Tiuryn. (2006). Applying dynamic Bayesian networks to perturbed gene expression data. BMC Bioinformatics. 7(1). 249–249. 102 indexed citations
17.
Dojer, Norbert. (2004). Applying term rewriting to partial algebra theory. Fundamenta Informaticae. 63(4). 375–384. 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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