Martina Bednářová

43 total papers · 983 total citations
32 papers, 729 citations indexed

About

Martina Bednářová is a scholar working on Insect Science, Social Psychology and Genetics. According to data from OpenAlex, Martina Bednářová has authored 32 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Insect Science, 14 papers in Social Psychology and 7 papers in Genetics. Recurrent topics in Martina Bednářová's work include Insect Utilization and Effects (19 papers), Animal and Plant Science Education (14 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Martina Bednářová is often cited by papers focused on Insect Utilization and Effects (19 papers), Animal and Plant Science Education (14 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Martina Bednářová collaborates with scholars based in Czechia, Slovakia and Belgium. Martina Bednářová's co-authors include Marie Borkovcová, Jiří Mlček, Otakar Rop, Anna Adámková, Martin Adámek, Lenka Kouřimská, L. Zeman, T. Komprda, I. Knı́žková and Tünde Juríková and has published in prestigious journals such as Journal of Experimental Botany, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Martina Bednářová

32 papers receiving 700 citations

Author Peers

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

Author						Papers	Cites
Martina Bednářová	611	369	171	113	104	32	729
José Manuel Pino Moreno	669 1.1×	351 1.0×	219 1.3×	129 1.1×	107 1.0×	44	783
Glaston M. Kenji	471 0.8×	296 0.8×	144 0.8×	183 1.6×	77 0.7×	32	774
Andrea Roncolini	631 1.0×	341 0.9×	151 0.9×	117 1.0×	48 0.5×	14	745
Maryia Mishyna	634 1.0×	312 0.8×	168 1.0×	174 1.5×	94 0.9×	33	904
Jharna Chakravorty	538 0.9×	368 1.0×	185 1.1×	151 1.3×	88 0.8×	32	709
M.G. Leonardi	577 0.9×	244 0.7×	168 1.0×	91 0.8×	149 1.4×	36	780
E. Pieterse	548 0.9×	318 0.9×	177 1.0×	216 1.9×	32 0.3×	43	854
Giuseppe Vassalotti	485 0.8×	313 0.8×	148 0.9×	108 1.0×	30 0.3×	21	659
Faith A. Manditsera	458 0.7×	316 0.9×	153 0.9×	116 1.0×	54 0.5×	20	669
Marta Gariglio	527 0.9×	326 0.9×	134 0.8×	93 0.8×	24 0.2×	38	675

Countries citing papers authored by Martina Bednářová

Since Specialization

Citations

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

Fields of papers citing papers by Martina Bednářová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Bednářová

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