Daniela Pavlı́ková

152 total papers · 2.9k total citations
110 papers, 2.2k citations indexed

About

Daniela Pavlı́ková is a scholar working on Plant Science, Pollution and Soil Science. According to data from OpenAlex, Daniela Pavlı́ková has authored 110 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Plant Science, 35 papers in Pollution and 17 papers in Soil Science. Recurrent topics in Daniela Pavlı́ková's work include Plant Stress Responses and Tolerance (35 papers), Heavy metals in environment (34 papers) and Plant Micronutrient Interactions and Effects (22 papers). Daniela Pavlı́ková is often cited by papers focused on Plant Stress Responses and Tolerance (35 papers), Heavy metals in environment (34 papers) and Plant Micronutrient Interactions and Effects (22 papers). Daniela Pavlı́ková collaborates with scholars based in Czechia, Austria and Pakistan. Daniela Pavlı́ková's co-authors include Pavel Tlustoš, Jiřina Száková, Milan Pavlı́k, Veronika Zemanová, J. Balík, Martina Janoušková, Miroslav Vosátka, František Hnilička, Tomáš Macek and Dagmar Procházková and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Daniela Pavlı́ková

107 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Pavlı́ková 1.4k 922 329 259 246 110 2.2k
Ma. del Carmen A. Gónzalez‐Chávez 1.5k 1.0× 1.1k 1.2× 333 1.0× 275 1.1× 139 0.6× 89 2.7k
Muhammad Tariq Javed 2.3k 1.6× 826 0.9× 218 0.7× 151 0.6× 350 1.4× 87 3.1k
Ejazul Islam 1.7k 1.2× 1.3k 1.4× 332 1.0× 155 0.6× 207 0.8× 64 3.2k
Valérie Bert 1.5k 1.1× 1.3k 1.4× 211 0.6× 262 1.0× 168 0.7× 50 2.8k
Mirosław Mleczek 1.3k 0.9× 789 0.9× 268 0.8× 111 0.4× 277 1.1× 152 3.1k
Sajid Mehmood 1.2k 0.8× 626 0.7× 362 1.1× 390 1.5× 155 0.6× 71 2.8k
Lingli Lu 2.2k 1.6× 1.0k 1.1× 160 0.5× 411 1.6× 292 1.2× 78 3.2k
Muhammad Rizwan 1.3k 0.9× 825 0.9× 201 0.6× 307 1.2× 236 1.0× 72 2.8k
Ebrahem M. Eid 798 0.6× 1.1k 1.2× 242 0.7× 348 1.3× 104 0.4× 162 3.1k
Amarílis de Varennes 1.8k 1.3× 973 1.1× 404 1.2× 541 2.1× 128 0.5× 116 3.1k

Countries citing papers authored by Daniela Pavlı́ková

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pavlı́ková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Pavlı́ková

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