Ludmila Machů

13 total papers · 1.2k total citations
11 papers, 890 citations indexed

About

Ludmila Machů is a scholar working on Renewable Energy, Sustainability and the Environment, Aquatic Science and Oceanography. According to data from OpenAlex, Ludmila Machů has authored 11 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Renewable Energy, Sustainability and the Environment, 5 papers in Aquatic Science and 2 papers in Oceanography. Recurrent topics in Ludmila Machů's work include Algal biology and biofuel production (6 papers), Seaweed-derived Bioactive Compounds (5 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (2 papers). Ludmila Machů is often cited by papers focused on Algal biology and biofuel production (6 papers), Seaweed-derived Bioactive Compounds (5 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (2 papers). Ludmila Machů collaborates with scholars based in Czechia and Slovakia. Ludmila Machů's co-authors include Ladislava Mišurcová, Jarmila Vávra Ambrožová, Soňa Škrovánková, Jana Orsavová, Jiří Mlček, Tünde Juríková, Jiří Sochor, Dušan Samek, František Buňka and Stanislav Kráčmar and has published in prestigious journals such as Food Chemistry, Molecules and Advances in food and nutrition research.

In The Last Decade

Ludmila Machů

10 papers receiving 851 citations

Author Peers

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

Author						Papers	Cites
Ludmila Machů	381	308	217	215	193	11	890
Catarina Vizetto‐Duarte	378 1.0×	282 0.9×	230 1.1×	129 0.6×	154 0.8×	27	999
K. Ganesan	445 1.2×	190 0.6×	187 0.9×	238 1.1×	159 0.8×	17	832
Xiao‐Juan Duan	462 1.2×	160 0.5×	197 0.9×	149 0.7×	251 1.3×	11	876
Guillermo García-Blairsy Reina	400 1.0×	382 1.2×	201 0.9×	134 0.6×	134 0.7×	6	845
Martina Čagalj	462 1.2×	153 0.5×	305 1.4×	200 0.9×	148 0.8×	29	921
K. W. Fan	165 0.4×	403 1.3×	267 1.2×	141 0.7×	191 1.0×	8	890
Elena M. Balboa	587 1.5×	223 0.7×	148 0.7×	141 0.7×	132 0.7×	14	865
Mariana Barbosa	500 1.3×	196 0.6×	227 1.0×	97 0.5×	119 0.6×	26	864
Zuhong Xu	607 1.6×	185 0.6×	139 0.6×	121 0.6×	271 1.4×	9	860
Chhandashree Behera	359 0.9×	155 0.5×	296 1.4×	79 0.4×	132 0.7×	26	949

Countries citing papers authored by Ludmila Machů

Since Specialization

Citations

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

Fields of papers citing papers by Ludmila Machů

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludmila Machů

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