Marek Reformat

3.4k total citations · 1 hit paper
152 papers, 2.2k citations indexed

About

Marek Reformat is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Marek Reformat has authored 152 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 42 papers in Information Systems and 16 papers in Management Science and Operations Research. Recurrent topics in Marek Reformat's work include Semantic Web and Ontologies (25 papers), Software Engineering Research (17 papers) and Fuzzy Logic and Control Systems (15 papers). Marek Reformat is often cited by papers focused on Semantic Web and Ontologies (25 papers), Software Engineering Research (17 papers) and Fuzzy Logic and Control Systems (15 papers). Marek Reformat collaborates with scholars based in Canada, Poland and United States. Marek Reformat's co-authors include Witold Pedrycz, Lukasz Kurgan, Wojciech Stach, Ronald R. Yager, Zhewen Niu, Wenhu Tang, Zeyuan Yu, Qinghua Wu, Petr Musı́lek and Renato A. Krohling and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Energy.

In The Last Decade

Marek Reformat

140 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Wind power forecasting using attention-based gated recurrent unit network

2020 257 citations Marek Reformat et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marek Reformat Canada	23	1.2k	474	410	376	252	152	2.2k
Adriano L. I. Oliveira Brazil	23	892 0.8×	625 1.3×	636 1.6×	301 0.8×	436 1.7×	120	2.3k
Khaled Ghédira Tunisia	22	848 0.7×	180 0.4×	287 0.7×	186 0.5×	78 0.3×	229	2.3k
Matej Črepinšek Slovenia	21	1.6k 1.4×	130 0.3×	294 0.7×	211 0.6×	255 1.0×	45	2.5k
Francisco Luna Spain	23	1.1k 0.9×	250 0.5×	298 0.7×	415 1.1×	131 0.5×	89	2.4k
Masri Ayob Malaysia	25	976 0.8×	557 1.2×	226 0.6×	142 0.4×	32 0.1×	123	2.2k
Qing Wang China	21	676 0.6×	166 0.4×	367 0.9×	99 0.3×	77 0.3×	183	1.6k
Lamjed Ben Saïd Tunisia	23	1.0k 0.9×	306 0.6×	206 0.5×	162 0.4×	52 0.2×	176	2.3k
Una-May O’Reilly United States	26	1.6k 1.4×	85 0.2×	382 0.9×	328 0.9×	126 0.5×	147	3.0k
Kalyan Veeramachaneni United States	21	1.3k 1.1×	116 0.2×	363 0.9×	308 0.8×	57 0.2×	82	2.5k
Behrouz H. Far Canada	23	864 0.7×	149 0.3×	691 1.7×	103 0.3×	137 0.5×	210	2.0k

Countries citing papers authored by Marek Reformat

Since Specialization

Citations

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

Fields of papers citing papers by Marek Reformat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Reformat

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Musı́lek, Petr, et al.. (2024). Parametric and Nonparametric Machine Learning Techniques for Increasing Power System Reliability: A Review. Information. 15(1). 37–37. 11 indexed citations

2.

Reformat, Marek, et al.. (2024). Automated Method for Growing Rod Length Measurement on Ultrasound Images in Children With Early Onset Scoliosis. Ultrasound in Medicine & Biology. 50(11). 1690–1696.

3.

Wang, Jianxi, et al.. (2024). Generalized Deep Embedded Fuzzy C-Means for Clustering High-Dimensional Data. 1–8. 1 indexed citations

4.

Zaı̈ane, Osmar R., Cory Rosenfelt, David Nicholas, et al.. (2024). Developing a Chatbot to Support Individuals With Neurodevelopmental Disorders: Tutorial. Journal of Medical Internet Research. 26. e50182–e50182. 2 indexed citations

5.

Reformat, Marek, et al.. (2024). Fine-tuning Language Models for Triple Extraction with Data Augmentation. 116–124. 1 indexed citations

6.

Reformat, Marek, et al.. (2024). Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis. Medical & Biological Engineering & Computing. 63(1). 101–110. 1 indexed citations

7.

Reformat, Marek, et al.. (2023). Probabilistic Coarsening for Knowledge Graph Embeddings. Axioms. 12(3). 275–275. 2 indexed citations

8.

Wong, Jason, et al.. (2023). Validation of an artificial intelligence-based method to automate Cobb angle measurement on spinal radiographs of children with adolescent idiopathic scoliosis. European Journal of Physical and Rehabilitation Medicine. 59(4). 535–542. 13 indexed citations

9.

Wang, Mei‐Hui, et al.. (2023). Human intelligence-based metaverse for co-learning of students and smart machines. Journal of Ambient Intelligence and Humanized Computing. 14(6). 7695–7718. 12 indexed citations

10.

Reformat, Marek, et al.. (2023). Reinforcement Learning for Topic Models. 4332–4351. 3 indexed citations

11.

Reformat, Marek, et al.. (2022). Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing. Journal of Medical Internet Research. 24(8). e39888–e39888. 7 indexed citations

12.

Wong, Jason, Marek Reformat, Éric Parent, & Edmond Lou. (2022). Convolutional Neural Network to Segment Laminae on 3D Ultrasound Spinal Images to Assist Cobb Angle Measurement. Annals of Biomedical Engineering. 50(4). 401–412. 7 indexed citations

13.

Reformat, Marek, et al.. (2020). Question-Answering System with Linguistic Terms over RDF Knowledge Graphs. 4236–4243. 2 indexed citations

14.

Zadeh, Lotfi, et al.. (2016). Recent Developments and New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 4th World Conference on Soft Computing. Springer eBooks.

15.

Reformat, Marek, et al.. (2013). T2R: System for Converting Textual Documents into RDF Triples. 12. 221–228. 7 indexed citations

16.

Reformat, Marek, et al.. (2010). Rule- and OWA-based Semantic Similarity for User Profiling. International Journal of Fuzzy Systems. 12(2). 87–102. 5 indexed citations

17.

Li, Zhan, Ronald R. Yager, & Marek Reformat. (2009). Identification of Web Information using Concept Hierarchies and On-line Updates of Concept Importance. European Society for Fuzzy Logic and Technology Conference. 1583–1588. 1 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.

Pedrycz, Witold, et al.. (2006). OR/AND neurons and the development of interpretable logic models. IEEE Transactions on Neural Networks. 17(3). 636–658. 15 indexed citations

20.

Pedrycz, Witold & Marek Reformat. (2001). Evolutionary optimization of logic-oriented systems. Genetic and Evolutionary Computation Conference. 1389–1396. 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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