Martina Ládrová

32 total papers · 478 total citations
22 papers, 317 citations indexed

About

Martina Ládrová is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Martina Ládrová has authored 22 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 12 papers in Biomedical Engineering and 6 papers in Cognitive Neuroscience. Recurrent topics in Martina Ládrová's work include ECG Monitoring and Analysis (12 papers), EEG and Brain-Computer Interfaces (6 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Martina Ládrová is often cited by papers focused on ECG Monitoring and Analysis (12 papers), EEG and Brain-Computer Interfaces (6 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Martina Ládrová collaborates with scholars based in Czechia, United States and Poland. Martina Ládrová's co-authors include Radek Martínek, René Jaroš, Michaela Šidiková, Radana Kahánková, Aleksandra Kawala‐Sterniuk, Khosrow Behbehani, Petr Bilík, Jan Nedoma, Marcel Fajkus and Lukáš Danys and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Martina Ládrová

21 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Martina Ládrová	145	99	61	56	41	22	317
Ali Rizwan	87 0.6×	75 0.8×	96 1.6×	40 0.7×	34 0.8×	21	356
D. K. Raghuvanshi	90 0.6×	139 1.4×	54 0.9×	67 1.2×	21 0.5×	15	301
Raghbir Singh Khandpur	125 0.9×	80 0.8×	61 1.0×	35 0.6×	16 0.4×	9	278
Syed Zohaib Hassan Naqvi	73 0.5×	63 0.6×	38 0.6×	57 1.0×	113 2.8×	42	348
Thiago Nunes	67 0.5×	172 1.7×	28 0.5×	174 3.1×	39 1.0×	19	361
Michaela Šidiková	107 0.7×	65 0.7×	35 0.6×	165 2.9×	13 0.3×	9	313
Lang Qin	79 0.5×	196 2.0×	26 0.4×	130 2.3×	40 1.0×	10	322
Changchun Liu	65 0.4×	112 1.1×	25 0.4×	78 1.4×	14 0.3×	24	344
Aya Khalaf	50 0.3×	104 1.1×	37 0.6×	197 3.5×	28 0.7×	28	308
Mohd Anuar Md Ali	207 1.4×	83 0.8×	82 1.3×	24 0.4×	28 0.7×	34	337

Countries citing papers authored by Martina Ládrová

Since Specialization

Citations

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

Fields of papers citing papers by Martina Ládrová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Ládrová

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