Rafał Rak

41 papers receiving 702 citations

Peers

Rafał Rak
Comparison fields: 5 of 79
  • Finance 130
  • Statistical and Nonlinear Physics 132
  • Artificial Intelligence 281
  • Economics and Econometrics 224
  • Molecular Biology 352
Replace Federico Musciotto with:
Federico Musciotto Italy
Sylvain Delattre France
Renato Vicente Brazil
Timo Seppäläinen United States
Wolfgang Wefelmeyer Germany
Angelos Dassios United Kingdom
Bernt P. Stigum United States
Daniel J. Fenn United States
Darko Stošić Brazil
Zheng Tracy Ke United States
Rafał Rak relative to Federico Musciotto Italy Federico Musciotto's profile →
Citations per field
00.5×10×17.3×
Federico Musciotto · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Rafał Rak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rafał Rak Line = papers co-authored together Rafał Rak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201266
2 201265
3 201560
4 200751
5
Investigating Multifractality of Stock Market Fluctuations Using Wavelet and Detrending Fluctuation Methods
200546
6 200643
7 201838
8
Overview of the Infectious Diseases (ID) task of BioNLP Shared Task 2011
201134
9
Overview of the Pathway Curation (PC) task of BioNLP Shared Task 2013
201332
10 201128
11 201326
12 200622
13 201322
14 201521
15 200720
16 201416
17 201515
18 201515
19 200714
20 201413

About Rafał Rak

Rafał Rak is a scholar working on Molecular Biology, Artificial Intelligence, Economics and Econometrics, Statistical and Nonlinear Physics and Information Systems and Management, having authored 44 papers that have together received 736 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (22 papers), Semantic Web and Ontologies (10 papers), Complex Systems and Time Series Analysis (10 papers), Natural Language Processing Techniques (6 papers), Financial Risk and Volatility Modeling (6 papers), Scientific Computing and Data Management (6 papers), Topic Modeling (5 papers) and Chaos control and synchronization (4 papers). The work is most often cited by research in Finance (130 citations), Statistical and Nonlinear Physics (132 citations), Artificial Intelligence (281 citations), Economics and Econometrics (224 citations) and Molecular Biology (352 citations). Rafał Rak has collaborated with scholars based in United Kingdom, Poland and Philippines. Frequent co-authors include Sophia Ananiadou, Jarosław Kwapień, Stanisław Drożdż, Riza Batista-Navarro, Sampo Pyysalo, Tomoko Ohta, Andrew Rowley, Jun’ichi Tsujii, Paweł Oświȩcimka and Marek Reformat. Their work appears in journals such as Database, Physica A Statistical Mechanics and its Applications, BMC Bioinformatics, Language Resources and Evaluation and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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