Balázs Szalkai

431 total citations
17 papers, 195 citations indexed

About

Balázs Szalkai is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Balázs Szalkai has authored 17 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Balázs Szalkai's work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Advanced MRI Techniques and Applications (6 papers). Balázs Szalkai is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Advanced MRI Techniques and Applications (6 papers). Balázs Szalkai collaborates with scholars based in Hungary and Canada. Balázs Szalkai's co-authors include Vince Grolmusz, Bálint Varga, Csaba Kerepesi, György Dósa, Kinga Nagy, Beáta G. Vértessy, Zsolt Tuza and Károly Bezdek and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Balázs Szalkai

14 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Balázs Szalkai Hungary	8	130	93	39	23	17	17	195
Lia Domide France	4	276 2.1×	93 1.0×	32 0.8×	13 0.6×	9 0.5×	5	322
Xi-Nian Zuo China	4	265 2.0×	121 1.3×	20 0.5×	7 0.3×	4 0.2×	5	303
Pedro D. Maia United States	11	95 0.7×	26 0.3×	63 1.6×	68 3.0×	6 0.4×	25	302
Mianxin Liu China	11	229 1.8×	59 0.6×	24 0.6×	8 0.3×	4 0.2×	32	346
Silke Dodel France	8	250 1.9×	92 1.0×	18 0.5×	4 0.2×	4 0.2×	14	307
Christopher Lin United States	8	55 0.4×	24 0.3×	16 0.4×	12 0.5×	14 0.8×	21	167
Carlo Nicolini Italy	9	146 1.1×	43 0.5×	29 0.7×	4 0.2×	14 0.8×	14	269
Ariel Haimovici Argentina	5	315 2.4×	51 0.5×	24 0.6×	5 0.2×	7 0.4×	5	373
Loïc Magrou United States	5	302 2.3×	101 1.1×	24 0.6×	2 0.1×	7 0.4×	7	352
Nan Xu United States	10	139 1.1×	39 0.4×	34 0.9×	6 0.3×	2 0.1×	41	276

Countries citing papers authored by Balázs Szalkai

Since Specialization

Citations

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

Fields of papers citing papers by Balázs Szalkai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balázs Szalkai

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

All Works

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17 of 17 papers shown

Szalkai, Balázs. (2021). The Graph of Our Mind. MDPI (MDPI AG). 6 indexed citations

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

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

Szalkai, Balázs & Vince Grolmusz. (2018). SECLAF: a webserver and deep neural network design tool for hierarchical biological sequence classification. Bioinformatics. 34(14). 2487–2489. 17 indexed citations

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

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

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

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

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

10.

Szalkai, Balázs. (2016). Optimal cover of a disk with three smaller congruent disks. Advances in Geometry. 16(4). 465–476.

11.

Bezdek, Károly, et al.. (2015). On contact numbers of totally separable unit sphere packings. Discrete Mathematics. 339(2). 668–676. 3 indexed citations

12.

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

13.

Kerepesi, Csaba, Balázs Szalkai, & Vince Grolmusz. (2014). Visual Analysis of the Quantitative Composition of Metagenomic Communities: the AmphoraVizu Webserver. Microbial Ecology. 69(3). 695–697. 5 indexed citations

14.

Szalkai, Balázs, et al.. (2014). The Metagenomic Telescope. PLoS ONE. 9(7). e101605–e101605. 5 indexed citations

15.

Szalkai, Balázs, et al.. (2013). Simplexes and their applications - a short survey. Miskolc mathematical notes/Mathematical notes. 14(1). 279–279.

16.

Dósa, György, et al.. (2012). On minimal solutions of systems of linear equations with applications. Miskolc mathematical notes/Mathematical notes. 13(2). 529–529. 2 indexed citations

17.

Szalkai, Balázs, et al.. (2011). Counting minimal reactions with specific conditions in $${\mathbb{R} ^4}$$. Journal of Mathematical Chemistry. 49(5). 1071–1085. 3 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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