Martina Háková

19 total papers · 517 total citations
16 papers, 414 citations indexed

About

Martina Háková is a scholar working on Analytical Chemistry, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Martina Háková has authored 16 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Analytical Chemistry, 7 papers in Spectroscopy and 7 papers in Biomedical Engineering. Recurrent topics in Martina Háková's work include Analytical chemistry methods development (9 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Mass Spectrometry Techniques and Applications (5 papers). Martina Háková is often cited by papers focused on Analytical chemistry methods development (9 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Mass Spectrometry Techniques and Applications (5 papers). Martina Háková collaborates with scholars based in Czechia and Spain. Martina Háková's co-authors include Dalibor Šatı́nský, Lucie Havlíková, Petr Solich, František Švec, Jiří Chvojka, Jakub Erben, Klára Urbanová, Vladimír Vrkoslav, Jiřı́ Gabriel and Petr Baldrián and has published in prestigious journals such as Analytical Chemistry, Journal of Lipid Research and Analytica Chimica Acta.

In The Last Decade

Martina Háková

16 papers receiving 408 citations

Author Peers

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

Author						Papers	Cites
Martina Háková	165	115	109	71	65	16	414
Feifei Qi	137 0.8×	81 0.7×	54 0.5×	89 1.3×	45 0.7×	20	379
Shunli Ji	156 0.9×	115 1.0×	128 1.2×	70 1.0×	32 0.5×	30	463
Tong Jia	198 1.2×	80 0.7×	89 0.8×	46 0.6×	18 0.3×	12	377
Mingming Liu	135 0.8×	86 0.7×	50 0.5×	44 0.6×	22 0.3×	23	431
Ruya Wang	164 1.0×	80 0.7×	78 0.7×	38 0.5×	106 1.6×	12	386
Akram Rahimi	155 0.9×	187 1.6×	67 0.6×	56 0.8×	27 0.4×	21	464
Hao‐Ming Guo	176 1.1×	49 0.4×	75 0.7×	61 0.9×	21 0.3×	20	414
Gabriel Morales‐Cid	150 0.9×	173 1.5×	109 1.0×	47 0.7×	118 1.8×	13	461
Lingshun Sun	65 0.4×	116 1.0×	63 0.6×	72 1.0×	57 0.9×	14	459
Liqiang Su	107 0.6×	100 0.9×	59 0.5×	50 0.7×	25 0.4×	24	396

Countries citing papers authored by Martina Háková

Since Specialization

Citations

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

Fields of papers citing papers by Martina Háková

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Háková

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