Gábor Imre

39 total papers · 475 total citations
20 papers, 365 citations indexed

About

Gábor Imre is a scholar working on Information Systems, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Gábor Imre has authored 20 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Gábor Imre's work include Neuroscience and Neuropharmacology Research (4 papers), Treatment of Major Depression (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Gábor Imre is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Treatment of Major Depression (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Gábor Imre collaborates with scholars based in Hungary, Netherlands and Croatia. Gábor Imre's co-authors include Dirk S. Fokkema, Gert J. Ter Horst, Johan A. den Boer, Amber R. Salomons, Minke E. Jongsma, Tímea Polgár, Ödön Farkas, Gábor Veress, Gergely Mezei and Hassan Charaf and has published in prestigious journals such as Tectonophysics, European Journal of Pharmacology and Neuroreport.

In The Last Decade

Gábor Imre

18 papers receiving 354 citations

Author Peers

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

Author						Papers	Cites
Gábor Imre	224	135	74	73	69	20	365
Natalia Malikowska‐Racia	119 0.5×	97 0.7×	59 0.8×	102 1.4×	45 0.7×	29	368
Kristína Holubová	153 0.7×	101 0.7×	45 0.6×	92 1.3×	41 0.6×	19	294
Nasrin Hashemi-Firouzi	136 0.6×	95 0.7×	50 0.7×	67 0.9×	45 0.7×	26	373
Bernadett K. Szász	212 0.9×	153 1.1×	35 0.5×	72 1.0×	53 0.8×	11	361
Christopher Cottingham	163 0.7×	182 1.3×	27 0.4×	42 0.6×	50 0.7×	18	336
Maria Renner	220 1.0×	124 0.9×	102 1.4×	39 0.5×	20 0.3×	12	401
Shirley W.Y. Tsang	179 0.8×	120 0.9×	88 1.2×	114 1.6×	38 0.6×	10	397
Vanessa De Castro	110 0.5×	81 0.6×	50 0.7×	41 0.6×	24 0.3×	17	355
Katia Boutourlinsky	218 1.0×	124 0.9×	56 0.8×	60 0.8×	36 0.5×	9	336
Amy DiCamillo	157 0.7×	123 0.9×	52 0.7×	58 0.8×	19 0.3×	10	348

Countries citing papers authored by Gábor Imre

Since Specialization

Citations

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

Fields of papers citing papers by Gábor Imre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Imre

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