Ágnes Baran

810 total citations
23 papers, 315 citations indexed

About

Ágnes Baran is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Ágnes Baran has authored 23 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 5 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Ágnes Baran's work include Quantum Mechanics and Non-Hermitian Physics (4 papers), Quantum chaos and dynamical systems (4 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). Ágnes Baran is often cited by papers focused on Quantum Mechanics and Non-Hermitian Physics (4 papers), Quantum chaos and dynamical systems (4 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). Ágnes Baran collaborates with scholars based in Hungary, Belarus and Sweden. Ágnes Baran's co-authors include Balázs Harangi, András Hajdú, Sándor Baran, Gisbert Stoyan, János Tóth, Lars Rosén, Tommy Norberg, Sebastian Lerch, T. Vertse and G. Lévai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Physics Letters A.

In The Last Decade

Ágnes Baran

18 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ágnes Baran Hungary	9	104	89	60	44	41	23	315
Simona Moldovanu Romania	15	130 1.3×	63 0.7×	80 1.3×	133 3.0×	6 0.1×	98	760
Pablo Musé Uruguay	10	131 1.3×	85 1.0×	19 0.3×	160 3.6×	16 0.4×	23	627
Yongming Li China	9	146 1.4×	39 0.4×	36 0.6×	139 3.2×		25	537
Kun Huang China	11	73 0.7×	23 0.3×	67 1.1×	107 2.4×	6 0.1×	23	315
Sergiy Sadovnychiy Mexico	11	146 1.4×	101 1.1×	36 0.6×	185 4.2×	8 0.2×	45	443
Zihan Wang China	13	70 0.7×	17 0.2×	20 0.3×	23 0.5×	16 0.4×	50	595
Pierluigi Maponi Italy	13	32 0.3×	18 0.2×	26 0.4×	39 0.9×	46 1.1×	70	417
Dirk Borghys Belgium	12	49 0.5×	37 0.4×	14 0.2×	95 2.2×	18 0.4×	46	497
Alain Coron France	14	60 0.6×	18 0.2×	436 7.3×	58 1.3×	6 0.1×	48	602

Countries citing papers authored by Ágnes Baran

Since Specialization

Citations

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

Fields of papers citing papers by Ágnes Baran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Baran

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Baran. A scholar is included among the top collaborators of Ágnes Baran 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 Ágnes Baran. Ágnes Baran 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

Baran, Ágnes & Sándor Baran. (2024). Parametric model for post-processing visibility ensemble forecasts. SHILAP Revista de lepidopterología. 10(2). 105–122. 1 indexed citations

Stoyan, Gisbert & Ágnes Baran. (2024). Elementary Numerical Mathematics for Programmers and Engineers.

Baran, Ágnes & Sándor Baran. (2023). A two‐step machine‐learning approach to statistical post‐processing of weather forecasts for power generation. Quarterly Journal of the Royal Meteorological Society. 150(759). 1029–1047. 4 indexed citations

Baran, Ágnes, et al.. (2023). Sugárzásra és magassági szélre vonatkozó rövidtávú előrejelzések operatív statisztikai utófeldolgozása. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 68(3). 118–125. 1 indexed citations

Harangi, Balázs, et al.. (2023). Composing Diverse Ensembles of Convolutional Neural Networks by Penalization. Mathematics. 11(23). 4730–4730. 2 indexed citations

Baran, Ágnes, et al.. (2021). Exact Solution of the Schrödinger Equation for Composition of Coulomb and Oscillator Potentials. Digital Library of the Belarusian State University (Belarusian State University). 24(2). 203–206.

Baran, Ágnes, et al.. (2021). Machine learning for total cloud cover prediction. Repository KITopen (Karlsruhe Institute of Technology). 25 indexed citations

Baran, Sándor & Ágnes Baran. (2021). Calibration of wind speed ensemble forecasts for power generation. arXiv (Cornell University). 125(4). 609–624. 8 indexed citations

Harangi, Balázs, Ágnes Baran, & András Hajdú. (2020). Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support. Biomedical Signal Processing and Control. 62. 102041–102041. 55 indexed citations

10.

Harangi, Balázs, János Tóth, Ágnes Baran, & András Hajdú. (2019). Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features. PubMed. 2019. 2699–2702. 54 indexed citations

11.

Baran, Ágnes, et al.. (2018). JOZSO, a computer code for calculating broad neutron resonances in phenomenological nuclear potentials. Computer Physics Communications. 228. 185–191.

12.

Harangi, Balázs, Ágnes Baran, & András Hajdú. (2018). Classification Of Skin Lesions Using An Ensemble Of Deep Neural Networks. PubMed. 2018. 2575–2578. 55 indexed citations

13.

Baran, Ágnes & T. Vertse. (2017). Matching polynomial tails to the cut-off Woods–Saxon potential. International Journal of Modern Physics E. 26(11). 1750078–1750078. 1 indexed citations

14.

Lévai, G., et al.. (2017). Analytical solutions for the radial Scarf II potential. Physics Letters A. 381(23). 1936–1942. 9 indexed citations

15.

Stoyan, Gisbert & Ágnes Baran. (2016). Elementary Numerical Mathematics for Programmers and Engineers. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations

16.

Baran, Ágnes, et al.. (2016). Distributions of the S-matrix poles in Woods–Saxon and cut-off Woods–Saxon potentials. Nuclear Physics A. 952. 1–17. 7 indexed citations

17.

Baran, Ágnes, et al.. (2015). Energy Levels and Eigenfunctions for Two-Dimensional Electron Systems with Confining Square Well Potentials and Spin-Orbit Interactions in the Presence of Magnetic Field. Ukrainian Journal of Physics. 60(4). 328–333.

18.

Baran, Ágnes & Gisbert Stoyan. (2007). Gauss-Legendre elements: a stable, higher order non-conforming finite element family. Computing. 79(1). 1–21. 23 indexed citations

19.

Stoyan, Gisbert & Ágnes Baran. (2006). Crouzeix-Velte decompositions for higher-order finite elements. Computers & Mathematics with Applications. 51(6-7). 967–986. 17 indexed citations

20.

Stoyan, Gisbert, et al.. (2004). Generalizations to discrete and analytical Crouzeix–Velte decompositions. Numerical Linear Algebra with Applications. 11(5-6). 565–590. 2 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.

Explore authors with similar magnitude of impact