Milena Dömötörová

796 total citations
18 papers, 620 citations indexed

About

Milena Dömötörová is a scholar working on Food Science, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, Milena Dömötörová has authored 18 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Food Science, 8 papers in Spectroscopy and 7 papers in Analytical Chemistry. Recurrent topics in Milena Dömötörová's work include Pesticide Residue Analysis and Safety (9 papers), Analytical Chemistry and Chromatography (8 papers) and Analytical chemistry methods development (6 papers). Milena Dömötörová is often cited by papers focused on Pesticide Residue Analysis and Safety (9 papers), Analytical Chemistry and Chromatography (8 papers) and Analytical chemistry methods development (6 papers). Milena Dömötörová collaborates with scholars based in Slovakia, Czechia and Switzerland. Milena Dömötörová's co-authors include Eva Matisová, Andrea Hercegová, Michal Kirchner, Jana Chovancová, Kamil Čonka, Anna Fabišíková, Anton Koc̆an, Vladimı́r Štefuca, Jaap de Zeeuw and Beata Drobná and has published in prestigious journals such as Chemosphere, Journal of Chromatography A and Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology.

In The Last Decade

Milena Dömötörová

18 papers receiving 604 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Milena Dömötörová Slovakia 11 354 306 246 121 112 18 620
Svetlana Hrouzková Slovakia 15 356 1.0× 322 1.1× 198 0.8× 81 0.7× 50 0.4× 54 589
Peter Hancock United Kingdom 12 285 0.8× 267 0.9× 243 1.0× 70 0.6× 84 0.8× 17 616
Tomasz Rejczak Poland 10 381 1.1× 353 1.2× 165 0.7× 82 0.7× 61 0.5× 12 642
Michel Montury France 17 401 1.1× 327 1.1× 210 0.9× 59 0.5× 102 0.9× 25 752
Yan‐Zhong Cao China 16 459 1.3× 303 1.0× 190 0.8× 153 1.3× 130 1.2× 33 773
Antoni Rúbies Spain 15 283 0.8× 166 0.5× 210 0.9× 140 1.2× 78 0.7× 20 615
M. I. Cervera Spain 8 212 0.6× 216 0.7× 158 0.6× 49 0.4× 108 1.0× 8 535
Mercedes Barreda Spain 10 269 0.8× 193 0.6× 110 0.4× 83 0.7× 110 1.0× 10 489
A. Jiménez Girón Spain 12 349 1.0× 293 1.0× 307 1.2× 100 0.8× 33 0.3× 13 772
Günther Kempe Germany 6 605 1.7× 356 1.2× 327 1.3× 137 1.1× 55 0.5× 7 869

Countries citing papers authored by Milena Dömötörová

Since Specialization
Citations

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

Fields of papers citing papers by Milena Dömötörová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milena Dömötörová

This figure shows the co-authorship network connecting the top 25 collaborators of Milena Dömötörová. A scholar is included among the top collaborators of Milena Dömötörová 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 Milena Dömötörová. Milena Dömötörová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Dömötörová, Milena, et al.. (2017). MSPD as sample preparation method for determination of selected pesticide residues in apples. Acta Chimica Slovaca. 10(1). 41–46. 7 indexed citations
2.
Segner, Helmut, Philipp Mayer, Kilian E. C. Smith, et al.. (2015). Transfer and effects of 1,2,3,5,7-pentachloronaphthalene in an experimental food chain. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 169. 46–54. 1 indexed citations
3.
Čonka, Kamil, Jana Chovancová, Milena Dömötörová, et al.. (2013). PCDDs, PCDFs, PCBs and OCPs in sediments from selected areas in the Slovak Republic. Chemosphere. 98. 37–43. 18 indexed citations
4.
Dömötörová, Milena, et al.. (2012). PCDDs, PCDFs, dioxin-like PCBs and indicator PCBs in soil from five selected areas in Slovakia. Chemosphere. 89(4). 480–485. 35 indexed citations
5.
Chovancová, Jana, Kamil Čonka, Anna Fabišíková, et al.. (2012). PCDD/PCDF, dl-PCB and PBDE serum levels of Slovak general population. Chemosphere. 88(11). 1383–1389. 22 indexed citations
6.
Fabišíková, Anna, Kamil Čonka, Jana Chovancová, et al.. (2011). Differences between dioxin-like PCB, non-dioxin-like PCB,polychlorinated dibenzo-p-dioxin and dibenzofuran intake from human milk and infant milk formula by infants in the Michalovce district (Slovakia). 9 indexed citations
7.
Dömötörová, Milena & Eva Matisová. (2008). Fast gas chromatography for pesticide residues analysis. Journal of Chromatography A. 1207(1-2). 1–16. 61 indexed citations
8.
Koc̆an, Anton, et al.. (2008). PCDDs, PCDFs and dioxin-like PCBs in ambient air in Slovakia.. 1633–1636. 3 indexed citations
9.
Hercegová, Andrea, Milena Dömötörová, & Eva Matisová. (2007). Sample preparation methods in the analysis of pesticide residues in baby food with subsequent chromatographic determination. Journal of Chromatography A. 1153(1-2). 54–73. 137 indexed citations
10.
Hercegová, Andrea, Milena Dömötörová, Svetlana Hrouzková, & Eva Matisová. (2007). Study on pesticide residues in apples, apple-based baby food, and their behaviour during processing using fast GC–MS multiresidue analysis. International Journal of Environmental & Analytical Chemistry. 87(13-14). 957–969. 15 indexed citations
11.
Hercegová, Andrea, et al.. (2006). Comparison of sample preparation methods combined with fast gas chromatography – mass spectrometry for ultratrace analysis of pesticide residues in baby food. Journal of Separation Science. 29(8). 1102–1109. 64 indexed citations
12.
Dömötörová, Milena, Andrea Hercegová, & Eva Matisová. (2006). Monitoring of pesticide residues in apples from Slovakia for baby food production. Czech Journal of Food Sciences. 24(2). 84–92. 11 indexed citations
13.
Dömötörová, Milena, Michal Kirchner, Eva Matisová, & Jaap de Zeeuw. (2006). Possibilities and limitations of fast GC with narrow‐bore columns. Journal of Separation Science. 29(8). 1051–1063. 23 indexed citations
14.
Dömötörová, Milena, et al.. (2005). Fast gas chromatography of polar and non-polar compounds with the on-column injection. Chemia Analityczna. 50(2). 365–375. 1 indexed citations
15.
Kirchner, Michal, Eva Matisová, Milena Dömötörová, & Jaap de Zeeuw. (2004). Practical aspects of splitless injection of semivolatile compounds in fast gas chromatography. Journal of Chromatography A. 1055(1-2). 159–168. 7 indexed citations
16.
Hercegová, Andrea, et al.. (2004). Fast gas chromatography with solid phase extraction clean-up for ultratrace analysis of pesticide residues in baby food. Journal of Chromatography A. 1084(1-2). 46–53. 52 indexed citations
17.
Matisová, Eva & Milena Dömötörová. (2003). Fast gas chromatography and its use in trace analysis. Journal of Chromatography A. 1000(1-2). 199–221. 145 indexed citations
18.
Matisová, Eva, et al.. (2002). Factors influencing chromatographic data in fast gas chromatography with on‐column injection. Journal of Separation Science. 25(18). 1325–1331. 9 indexed citations

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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