Béla Veszprémi

29 total papers · 552 total citations
17 papers, 411 citations indexed

About

Béla Veszprémi is a scholar working on Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Béla Veszprémi has authored 17 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Surgery. Recurrent topics in Béla Veszprémi's work include Prenatal Screening and Diagnostics (4 papers), Congenital Anomalies and Fetal Surgery (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Béla Veszprémi is often cited by papers focused on Prenatal Screening and Diagnostics (4 papers), Congenital Anomalies and Fetal Surgery (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Béla Veszprémi collaborates with scholars based in Hungary, Spain and Germany. Béla Veszprémi's co-authors include Hajnalka Ábrahám, Éva Gömöri, László Seress, Támas Décsi, Cristina Campoy, Berthold Koletzko, Hans Demmelmair, M. Rivero, Eva Hoster and Susanne Krauss‐Etschmann and has published in prestigious journals such as American Journal of Clinical Nutrition, Progress in brain research and Journal of Pediatric Gastroenterology and Nutrition.

In The Last Decade

Béla Veszprémi

16 papers receiving 400 citations

Author Peers

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

Author						Papers	Cites
Béla Veszprémi	144	121	88	66	64	17	411
Natalie J. Groves	58 0.4×	54 0.4×	28 0.3×	59 0.9×	50 0.8×	10	493
Hollian R. Phillipps	62 0.4×	26 0.2×	42 0.5×	55 0.8×	74 1.2×	15	489
G Jahnke	89 0.6×	29 0.2×	94 1.1×	42 0.6×	123 1.9×	15	486
Laura Toso	280 1.9×	24 0.2×	37 0.4×	111 1.7×	64 1.0×	28	476
Aslihan Dincer	71 0.5×	34 0.3×	35 0.4×	31 0.5×	268 4.2×	11	475
Dawn Owen	242 1.7×	37 0.3×	46 0.5×	44 0.7×	35 0.5×	12	415
Moogeh Baharnoori	84 0.6×	15 0.1×	78 0.9×	38 0.6×	75 1.2×	27	487
Udani Ratnayake	75 0.5×	15 0.1×	48 0.5×	44 0.7×	81 1.3×	13	418
Alita Soch	71 0.5×	48 0.4×	39 0.4×	27 0.4×	64 1.0×	15	473
Willard O. Thompson	104 0.7×	39 0.3×	104 1.2×	32 0.5×	41 0.6×	21	406

Countries citing papers authored by Béla Veszprémi

Since Specialization

Citations

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

Fields of papers citing papers by Béla Veszprémi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béla Veszprémi

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