Rafał Rak

1.7k total citations
44 papers, 732 citations indexed

About

Rafał Rak is a scholar working on Molecular Biology, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Rafał Rak has authored 44 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Artificial Intelligence and 10 papers in Economics and Econometrics. Recurrent topics in Rafał Rak's work include Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (11 papers) and Complex Systems and Time Series Analysis (10 papers). Rafał Rak is often cited by papers focused on Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (11 papers) and Complex Systems and Time Series Analysis (10 papers). Rafał Rak collaborates with scholars based in United Kingdom, Poland and Canada. Rafał Rak's co-authors include Sophia Ananiadou, Jarosław Kwapień, Stanisław Drożdż, Riza Batista-Navarro, Tomoko Ohta, Sampo Pyysalo, Jun’ichi Tsujii, Paweł Oświȩcimka, Marek Reformat and Andrew Rowley and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Fuzzy Sets and Systems.

In The Last Decade

Rafał Rak

41 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafał Rak United Kingdom 16 383 347 225 134 129 44 732
Federico Musciotto Italy 9 47 0.1× 47 0.1× 56 0.2× 178 1.3× 24 0.2× 22 320
Henri Waelbroeck Mexico 12 62 0.2× 165 0.5× 72 0.3× 98 0.7× 72 0.6× 47 452
Travis Martin United States 6 62 0.2× 70 0.2× 30 0.1× 331 2.5× 5 0.0× 8 463
Angelos Dassios United Kingdom 15 98 0.3× 105 0.3× 233 1.0× 39 0.3× 515 4.0× 66 973
Timo Seppäläinen United States 20 60 0.2× 150 0.4× 28 0.1× 57 0.4× 78 0.6× 72 1.0k
Zheng Tracy Ke United States 12 36 0.1× 113 0.3× 65 0.3× 84 0.6× 47 0.4× 31 357
Antonio Lijoi Italy 20 126 0.3× 1.2k 3.4× 35 0.2× 28 0.2× 173 1.3× 73 1.4k
Daniel J. Fenn United States 5 34 0.1× 26 0.1× 193 0.9× 93 0.7× 135 1.0× 7 326
Xuening Zhu China 9 25 0.1× 67 0.2× 153 0.7× 116 0.9× 44 0.3× 41 366
Stacy Williams United Kingdom 8 20 0.1× 33 0.1× 301 1.3× 99 0.7× 186 1.4× 10 413

Countries citing papers authored by Rafał Rak

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Rak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Rak

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

All Works

20 of 20 papers shown
2.
Rak, Rafał & Ewa Rak. (2023). Multifractality of Complex Networks Is Also Due to Geometry: A Geometric Sandbox Algorithm. Entropy. 25(9). 1324–1324. 2 indexed citations
3.
Fu, Xiao, Riza Batista-Navarro, Rafał Rak, & Sophia Ananiadou. (2015). Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows. Journal of Biomedical Semantics. 6(1). 8–8. 15 indexed citations
4.
Rak, Rafał, Jacob Carter, Andrew Rowley, Riza Batista-Navarro, & Sophia Ananiadou. (2014). Interoperability and Customisation of Annotation Schemata in Argo. Language Resources and Evaluation. 3837–3842. 2 indexed citations
5.
Rak, Rafał, et al.. (2014). Processing biological literature with customizable Web services supporting interoperable formats. Database. 2014(0). bau064–bau064. 8 indexed citations
6.
Batista-Navarro, Riza, Rezarta Islamaj, Antonio Jimeno Yepes, et al.. (2014). BioC interoperability track overview. Database. 2014(0). bau053–bau053. 13 indexed citations
7.
Rak, Rafał & Sophia Ananiadou. (2013). Making UIMA Truly Interoperable with SPARQL. Research Explorer (The University of Manchester). 89–97. 6 indexed citations
8.
Rak, Rafał, Andrew Rowley, Jacob Carter, & Sophia Ananiadou. (2013). Development and Analysis of NLP Pipelines in Argo. Research Explorer (The University of Manchester). 115–120. 6 indexed citations
9.
Ohta, Tomoko, Sampo Pyysalo, Rafał Rak, et al.. (2013). Overview of the Pathway Curation (PC) task of BioNLP Shared Task 2013. Research Explorer (The University of Manchester). 67–75. 32 indexed citations
10.
Miwa, Makoto, Tomoko Ohta, Rafał Rak, et al.. (2013). A method for integrating and ranking the evidence for biochemical pathways by mining reactions from text. Bioinformatics. 29(13). i44–i52. 22 indexed citations
11.
Rak, Rafał, Andrew Rowley, & Sophia Ananiadou. (2012). Collaborative Development and Evaluation of Text-processing Workflows in a UIMA-supported Web-based Workbench. Language Resources and Evaluation. 2971–2976. 4 indexed citations
12.
Rak, Rafał, et al.. (2012). Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench. Research Explorer (The University of Manchester). 121–126. 1 indexed citations
13.
Pyysalo, Sampo, Tomoko Ohta, Rafał Rak, et al.. (2012). Overview of the ID, EPI and REL tasks of BioNLP Shared Task 2011. BMC Bioinformatics. 13(S11). S2–S2. 65 indexed citations
14.
Rak, Rafał, et al.. (2012). Argo: an integrative, interactive, text mining-based workbench supporting curation. Database. 2012(0). bas010–bas010. 66 indexed citations
15.
Oświȩcimka, Paweł, Stanisław Drożdż, Jarosław Kwapień, & Rafał Rak. (2011). Czy można przewidzieć krach. 25. 163–171.
16.
Pyysalo, Sampo, Tomoko Ohta, Rafał Rak, et al.. (2011). Overview of the Infectious Diseases (ID) task of BioNLP Shared Task 2011. Research Explorer (The University of Manchester). 26–35. 34 indexed citations
17.
Wang, Xinglong, Rafał Rak, Chikashi Nobata, et al.. (2011). Detecting experimental techniques and selecting relevant documents for protein-protein interactions from biomedical literature. BMC Bioinformatics. 12(S8). S11–S11. 28 indexed citations
18.
Rak, Rafał, Lukasz Kurgan, & Marek Reformat. (2007). xGENIA: A comprehensive OWL ontology based on the GENIA corpus. Bioinformation. 1(9). 360–362. 3 indexed citations
19.
Rak, Rafał, Lukasz Kurgan, & Marek Reformat. (2007). Multilabel associative classification categorization of MEDLINE aticles into MeSH keywords. IEEE Engineering in Medicine and Biology Magazine. 26(2). 47–55. 14 indexed citations
20.
Oświȩcimka, Paweł, Jarosław Kwapień, Stanisław Drożdż, & Rafał Rak. (2005). Investigating Multifractality of Stock Market Fluctuations Using Wavelet and Detrending Fluctuation Methods. Acta Physica Polonica B. 36(8). 2447. 46 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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