Bálint Varga

609 total citations
25 papers, 312 citations indexed

About

Bálint Varga is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Bálint Varga has authored 25 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Organic Chemistry. Recurrent topics in Bálint Varga's work include Functional Brain Connectivity Studies (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Advanced MRI Techniques and Applications (7 papers). Bálint Varga is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Advanced MRI Techniques and Applications (7 papers). Bálint Varga collaborates with scholars based in Hungary, Italy and Germany. Bálint Varga's co-authors include Vince Grolmusz, Balázs Szalkai, Csaba Kerepesi, Zoltán Novàk, Balázs L. Tóth, András Kotschy, Zsombor Gonda, Zoltán Horváth, Andrea Mindszenty and Béla Mátravölgyi and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Scientific Reports.

In The Last Decade

Bálint Varga

24 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bálint Varga Hungary 11 140 105 70 41 31 25 312
Lars Martiny Denmark 8 40 0.3× 79 0.8× 124 1.8× 60 1.5× 16 0.5× 19 324
Yue Pan United States 9 88 0.6× 33 0.3× 149 2.1× 76 1.9× 150 4.8× 17 364
Sandrine Muller Switzerland 8 47 0.3× 46 0.4× 43 0.6× 106 2.6× 3 0.1× 13 265
Ton J. Visser Netherlands 13 23 0.2× 43 0.4× 64 0.9× 151 3.7× 3 0.1× 23 417
Yusuke Mizutani Japan 14 49 0.3× 16 0.2× 120 1.7× 61 1.5× 5 0.2× 24 389
Marion Kretzschmar Germany 12 10 0.1× 156 1.5× 42 0.6× 98 2.4× 16 0.5× 15 345
Keith A. Johnson United States 9 50 0.4× 77 0.7× 14 0.2× 213 5.2× 2 0.1× 21 516
Jérôme Molette Switzerland 8 15 0.1× 52 0.5× 73 1.0× 61 1.5× 10 0.3× 15 279
Xiao‐Ni Wang China 10 59 0.4× 48 0.5× 13 0.2× 122 3.0× 14 447
Daniel K. Cashion United States 4 15 0.1× 32 0.3× 149 2.1× 97 2.4× 10 0.3× 6 353

Countries citing papers authored by Bálint Varga

Since Specialization
Citations

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

Fields of papers citing papers by Bálint Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bálint Varga

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

All Works

20 of 20 papers shown
1.
2.
Molnár, Zsófia, et al.. (2024). Discovery and biocatalytic characterization of opine dehydrogenases by metagenome mining. Applied Microbiology and Biotechnology. 108(1). 101–101. 1 indexed citations
3.
Varga, Bálint, et al.. (2022). Introducing and applying Newtonian blurring: an augmented dataset of 126,000 human connectomes at braingraph.org. Scientific Reports. 12(1). 3102–3102. 3 indexed citations
4.
Varga, Bálint, Gergely Csibra, & Ágnes Melinda Kovács. (2021). Infants’ interpretation of information-seeking actions. eScholarship (California Digital Library). 43(43).
5.
Varga, Bálint, et al.. (2021). Relationship Between the COVID-19 Pandemic and Ecological, Economic, and Social Conditions. Frontiers in Public Health. 9. 694191–694191. 2 indexed citations
6.
Varga, Bálint & Vince Grolmusz. (2021). The braingraph.org database with more than 1000 robust human connectomes in five resolutions. Cognitive Neurodynamics. 15(5). 915–919. 5 indexed citations
7.
Novàk, Zoltán, Bálint Varga, Zoltán May, et al.. (2021). Revisiting the amine-catalysed cross-coupling. Nature Catalysis. 4(12). 991–993. 23 indexed citations
8.
Novàk, Zoltán, et al.. (2021). Application of Industrially Relevant HydroFluoroOlefin (HFO) Gases in Organic Syntheses. Synthesis. 53(23). 4313–4326. 8 indexed citations
9.
Varga, Bálint, et al.. (2020). The frequent complete subgraphs in the human connectome. PLoS ONE. 15(8). e0236883–e0236883. 8 indexed citations
10.
Szalkai, Balázs, Csaba Kerepesi, Bálint Varga, & Vince Grolmusz. (2019). Table gives the source C# code of the program, which computes the directions of the connectome edges.. Figshare. 17 indexed citations
11.
Varga, Bálint, Zsombor Gonda, Balázs L. Tóth, András Kotschy, & Zoltán Novàk. (2019). A Ni–Ir Dual Photocatalytic Liebeskind Coupling of Sulfonium Salts for the Synthesis of 2‐Benzylpyrrolidines. European Journal of Organic Chemistry. 2020(10). 1466–1471. 25 indexed citations
12.
Varga, Bálint, et al.. (2018). PDB_Amyloid: an extended live amyloid structure list from the PDB. FEBS Open Bio. 9(1). 185–190. 10 indexed citations
13.
Szalkai, Balázs, Bálint Varga, & Vince Grolmusz. (2018). Mapping correlations of psychological and structural connectome properties of the dataset of the human connectome project with the maximum spanning tree method. Brain Imaging and Behavior. 13(5). 1185–1192. 8 indexed citations
14.
Szalkai, Balázs, Bálint Varga, & Vince Grolmusz. (2017). The Robustness and the Doubly-Preferential Attachment Simulation of the Consensus Connectome Dynamics of the Human Brain. Scientific Reports. 7(1). 16118–16118. 9 indexed citations
15.
Szalkai, Balázs, Bálint Varga, & Vince Grolmusz. (2017). Brain size bias compensated graph-theoretical parameters are also better in women’s structural connectomes. Brain Imaging and Behavior. 12(3). 663–673. 7 indexed citations
16.
Kerepesi, Csaba, Balázs Szalkai, Bálint Varga, & Vince Grolmusz. (2017). The braingraph.org database of high resolution structural connectomes and the brain graph tools. Cognitive Neurodynamics. 11(5). 483–486. 22 indexed citations
17.
Szalkai, Balázs, Csaba Kerepesi, Bálint Varga, & Vince Grolmusz. (2016). Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0. Cognitive Neurodynamics. 11(1). 113–116. 41 indexed citations
18.
Kerepesi, Csaba, Balázs Szalkai, Bálint Varga, & Vince Grolmusz. (2016). How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain. PLoS ONE. 11(6). e0158680–e0158680. 23 indexed citations
19.
Szalkai, Balázs, Bálint Varga, & Vince Grolmusz. (2015). Graph Theoretical Analysis Reveals: Women’s Brains Are Better Connected than Men’s. PLoS ONE. 10(7). e0130045–e0130045. 27 indexed citations
20.
Horváth, Zoltán, Bálint Varga, & Andrea Mindszenty. (2000). Micromorphological and chemical complexities of a lateritic profile from basalt (Jos Plateau, Central Nigeria). Chemical Geology. 170(1-4). 81–93. 11 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

Breakdown of academic impact, for papers by Lars Martiny Breakdown of academic impact, for papers by Yue Pan Breakdown of academic impact, for papers by Sandrine Muller Breakdown of academic impact, for papers by Ton J. Visser Breakdown of academic impact, for papers by Yusuke Mizutani Breakdown of academic impact, for papers by Marion Kretzschmar Breakdown of academic impact, for papers by Keith A. Johnson Breakdown of academic impact, for papers by Jérôme Molette Breakdown of academic impact, for papers by Xiao‐Ni Wang Breakdown of academic impact, for papers by Daniel K. Cashion
Rankless by CCL
2026