B. Paskova

19 total papers · 433 total citations
14 papers, 315 citations indexed

About

B. Paskova is a scholar working on Clinical Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, B. Paskova has authored 14 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Psychology, 5 papers in Cognitive Neuroscience and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in B. Paskova's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Functional Brain Connectivity Studies (3 papers) and Transcranial Magnetic Stimulation Studies (3 papers). B. Paskova is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Functional Brain Connectivity Studies (3 papers) and Transcranial Magnetic Stimulation Studies (3 papers). B. Paskova collaborates with scholars based in Czechia, Slovenia and United Kingdom. B. Paskova's co-authors include Ján Praško, Jiřı́ Horáček, Tomáš Novák, Miloslav Kopeček, Cyril Höschl, Martin Bareš, Otakar Bělohlávek, M Matouŝek, Martin Brunovský and Kateřina Červená and has published in prestigious journals such as NeuroImage, American Journal of Psychiatry and Sleep Medicine.

In The Last Decade

B. Paskova

12 papers receiving 288 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
B. Paskova	158	135	133	99	55	14	315
Lori Kwapil	119 0.8×	133 1.0×	109 0.8×	81 0.8×	38 0.7×	8	336
Agnes Kroczek	66 0.4×	103 0.8×	152 1.1×	75 0.8×	29 0.5×	22	289
Sensen Song	72 0.5×	73 0.5×	168 1.3×	109 1.1×	43 0.8×	7	289
Mabel Rodríguez	33 0.2×	34 0.3×	137 1.0×	83 0.8×	95 1.7×	27	303
Navneet Kaur	46 0.3×	67 0.5×	179 1.3×	77 0.8×	71 1.3×	14	276
Giulia C. Salgari	89 0.6×	59 0.4×	174 1.3×	61 0.6×	121 2.2×	14	293
R. Delle Chiaie	64 0.4×	66 0.5×	73 0.5×	93 0.9×	168 3.1×	10	335
Benedetta Grancini	190 1.2×	75 0.6×	78 0.6×	33 0.3×	122 2.2×	22	326
Maren Struve	67 0.4×	75 0.6×	174 1.3×	78 0.8×	41 0.7×	8	288
Rachel Phillips	114 0.7×	80 0.6×	111 0.8×	19 0.2×	27 0.5×	17	263

Countries citing papers authored by B. Paskova

Since Specialization

Citations

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

Fields of papers citing papers by B. Paskova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Paskova

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

All Works

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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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