Łukasz Roguski

916 total citations
10 papers, 383 citations indexed

About

Łukasz Roguski is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Łukasz Roguski has authored 10 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 2 papers in Computer Networks and Communications. Recurrent topics in Łukasz Roguski's work include Algorithms and Data Compression (4 papers), Genomics and Phylogenetic Studies (3 papers) and Advanced Data Storage Technologies (2 papers). Łukasz Roguski is often cited by papers focused on Algorithms and Data Compression (4 papers), Genomics and Phylogenetic Studies (3 papers) and Advanced Data Storage Technologies (2 papers). Łukasz Roguski collaborates with scholars based in United Kingdom, Spain and Poland. Łukasz Roguski's co-authors include Sebastian Deorowicz, Richard Dobson, Amos Folarin, Szymon Grabowski, Željko Kraljević, Andrew Pickles, Rebecca Bendayan, Daniel Bean, Rosita Zakeri and Ajay M. Shah and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and European Journal of Heart Failure.

In The Last Decade

Łukasz Roguski

10 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Łukasz Roguski United Kingdom	9	166	130	124	78	65	10	383
Chengxi Zang United States	10	62 0.4×	78 0.6×	47 0.4×	7 0.1×	184 2.8×	30	415
Valerio Guarrasi Italy	13	114 0.7×	58 0.4×	128 1.0×	9 0.1×	19 0.3×	44	409
Md. Martuza Ahamad Bangladesh	10	147 0.9×	70 0.5×	13 0.1×	14 0.2×	17 0.3×	18	396
Patricia Kovatch United States	8	82 0.5×	19 0.1×	25 0.2×	30 0.4×	7 0.1×	29	256
G. E. Mints United States	12	219 1.3×	107 0.8×	25 0.2×	8 0.1×	196 3.0×	43	630
Rakesh Barve United States	11	97 0.6×	47 0.4×	18 0.1×	153 2.0×	21 0.3×	23	272
Sakifa Aktar Bangladesh	7	119 0.7×	70 0.5×	11 0.1×	12 0.2×	17 0.3×	18	323
Michael Mendis United States	9	120 0.7×	6 0.0×	161 1.3×	25 0.3×	6 0.1×	14	476
James Holt United States	14	27 0.2×	11 0.1×	213 1.7×	24 0.3×	7 0.1×	35	636
Liel Cohen-Lavi Israel	8	31 0.2×	11 0.1×	70 0.6×	49 0.6×	6 0.1×	12	217

Countries citing papers authored by Łukasz Roguski

Since Specialization

Citations

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

Fields of papers citing papers by Łukasz Roguski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Roguski

This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Roguski. A scholar is included among the top collaborators of Łukasz Roguski 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 Łukasz Roguski. Łukasz Roguski 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:

10 of 10 papers shown

1.

Roguski, Łukasz, et al.. (2024). Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Position Paper. 7. 100076–100076. 5 indexed citations

2.

Roguski, Łukasz, Xi Bai, Álex Handy, et al.. (2022). Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals. JMIR Medical Informatics. 10(8). e38122–e38122. 13 indexed citations

3.

Wang, Tao, Dominic Oliver, Giulia Spada, et al.. (2020). Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack. Journal of Visualized Experiments. 10 indexed citations

4.

Wang, Tao, Dominic Oliver, Giulia Spada, et al.. (2020). Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack. Journal of Visualized Experiments. 20 indexed citations

5.

Shah, Anoop D, David Brealey, Steve Harris, et al.. (2020). Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial. IEEE Journal of Biomedical and Health Informatics. 24(10). 2950–2959. 33 indexed citations

6.

Bean, Daniel, Željko Kraljević, Thomas Searle, et al.. (2020). Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers are Not Associated with Severe COVID-19 Infection in a Multi-Site UK Acute Hospital Trust. European Journal of Heart Failure. 22(6). 967–974. 152 indexed citations

7.

Roguski, Łukasz, Idoia Ochoa, Mikel Hernáez, & Sebastian Deorowicz. (2018). FaStore: a space-saving solution for raw sequencing data. Bioinformatics. 34(16). 2748–2756. 28 indexed citations

8.

Roguski, Łukasz & Paolo Ribeca. (2016). CARGO: effective format-free compressed storage of genomic information. Nucleic Acids Research. 44(12). e114–e114. 8 indexed citations

9.

Roguski, Łukasz & Sebastian Deorowicz. (2014). DSRC 2—Industry-oriented compression of FASTQ files. Bioinformatics. 30(15). 2213–2215. 70 indexed citations

10.

Grabowski, Szymon, Sebastian Deorowicz, & Łukasz Roguski. (2014). Disk-based compression of data from genome sequencing. Bioinformatics. 31(9). 1389–1395. 44 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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