Bálint Pataki

729 total citations
9 papers, 247 citations indexed

About

Bálint Pataki is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Bálint Pataki has authored 9 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Astronomy and Astrophysics, 4 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Bálint Pataki's work include Galaxies: Formation, Evolution, Phenomena (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Bálint Pataki is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Bálint Pataki collaborates with scholars based in Hungary, United Kingdom and United States. Bálint Pataki's co-authors include István Csabai, Dezső Ribli, Zoltán Haiman, Daniel Hsu, José Manuel Zorrilla Matilla, John R.B. Palmer, Roger Eritja, Joan Garriga, Frederic Bartumeus and Nima Aghaeepour and has published in prestigious journals such as Scientific Reports, Monthly Notices of the Royal Astronomical Society and The European Physical Journal B.

In The Last Decade

Bálint Pataki

8 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bálint Pataki Hungary	6	88	47	41	38	34	9	247
George Githinji Kenya	11	33 0.4×	16 0.3×	63 1.5×	104 2.7×	2 0.1×	24	431
N. Leroy France	9	78 0.9×	16 0.3×	22 0.5×	170 4.5×		25	394
F.‐X. Pineau France	11	201 2.3×	12 0.3×	11 0.3×	38 1.0×		30	585
L. Hernández-García Spain	16	462 5.3×	6 0.1×	23 0.6×	5 0.1×	9 0.3×	45	567
Sean Farrell United States	11	184 2.1×	12 0.3×	31 0.8×	8 0.2×	1 0.0×	41	366
Zhifu Chen China	11	253 2.9×	4 0.1×	37 0.9×	10 0.3×		67	479
Thomas Mueller Germany	10	122 1.4×	5 0.1×	30 0.7×	6 0.2×		30	251
Farhad Ali Pakistan	10	177 2.0×	10 0.2×	10 0.2×	63 1.7×		46	391
Dilshat Djumanov Uzbekistan	10	17 0.2×	22 0.5×	9 0.2×	2 0.1×	2 0.1×	45	258

Countries citing papers authored by Bálint Pataki

Since Specialization

Citations

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

Fields of papers citing papers by Bálint Pataki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bálint Pataki

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

All Works

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9 of 9 papers shown

Pataki, Bálint, Dezső Ribli, Benedek Gyöngyösi, et al.. (2022). HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening. Scientific Data. 9(1). 370–370. 18 indexed citations

Pataki, Bálint, et al.. (2022). Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion. Space Weather. 20(2). 2 indexed citations

Tarca, Adi L., Bálint Pataki, Roberto Romero, et al.. (2021). Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth. Cell Reports Medicine. 2(6). 100323–100323. 57 indexed citations

Pataki, Bálint, Joan Garriga, Roger Eritja, et al.. (2021). Deep learning identification for citizen science surveillance of tiger mosquitoes. Scientific Reports. 11(1). 4718–4718. 49 indexed citations

Matamoros, Sébastien, René S. Hendriksen, Bálint Pataki, et al.. (2020). Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences. Microbial Genomics. 6(5). 8 indexed citations

Ribli, Dezső, Bálint Pataki, José Manuel Zorrilla Matilla, et al.. (2019). Weak lensing cosmology with convolutional neural networks on noisy data. Monthly Notices of the Royal Astronomical Society. 490(2). 1843–1860. 69 indexed citations

Ribli, Dezső, Bálint Pataki, & István Csabai. (2018). Learning from deep learning: better cosmological parameter inference from weak lensing maps. arXiv (Cornell University).

Ribli, Dezső, Bálint Pataki, & István Csabai. (2018). An improved cosmological parameter inference scheme motivated by deep learning. Nature Astronomy. 3(1). 93–98. 39 indexed citations

Pekker, Áron, et al.. (2014). Bundle versus network conductivity of carbon nanotubes separated by type. The European Physical Journal B. 87(6). 5 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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