D. Mackových

695 total citations
4 papers, 14 citations indexed

About

D. Mackových is a scholar working on Pollution, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, D. Mackových has authored 4 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pollution, 2 papers in Artificial Intelligence and 2 papers in Analytical Chemistry. Recurrent topics in D. Mackových's work include Heavy metals in environment (3 papers), Geochemistry and Geologic Mapping (2 papers) and Analytical chemistry methods development (2 papers). D. Mackových is often cited by papers focused on Heavy metals in environment (3 papers), Geochemistry and Geologic Mapping (2 papers) and Analytical chemistry methods development (2 papers). D. Mackových collaborates with scholars based in Slovakia and Czechia. D. Mackových's co-authors include Yaroslav Bazeľ and Lubomir Lapčík and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Chemistry Letters and Microchimica Acta.

In The Last Decade

D. Mackových

4 papers receiving 14 citations

Peers

D. Mackových

POLLU

EC

AI

AC

RUT

Jonathan C. Ifemeje Nigeria

C. M. Hernandez Italy

J. Monari Kebwaro Kenya

R. Domingues Brazil

Matijana Jergović Croatia

Yonglin Zhou China

S. Huang China

V. Klos United States

Patrick Strong United States

Jonathan C. Ifemeje Nigeria

D. Mackových

8 ×1.0

POLLU

2 ×0.4

EC

4 ×1.0

AI

3 ×0.8

AC

3 ×1.0

RUT

Citations per year, relative to D. Mackových D. Mackových (= 1×) peers Jonathan C. Ifemeje

Countries citing papers authored by D. Mackových

Since Specialization

Citations

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

Fields of papers citing papers by D. Mackových

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Mackových

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

All Works

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4 of 4 papers shown

1.

Mackových, D., et al.. (2013). Sono-extraction as a pretreatment approach for the screening evaluation of element mobility of sediment samples. SHILAP Revista de lepidopterología. 11(7). 1201–1212. 4 indexed citations

2.

Mackových, D., et al.. (2010). Development of an Analytical Method for Determination of Major Elements by Energy-Dispersive X-Ray Fluorescence Spectrometry. 104(11). 2 indexed citations

3.

Mackových, D., et al.. (2008). Simple assessment of the reactive aluminium in sediments. Environmental Chemistry Letters. 8(1). 45–51. 6 indexed citations

4.

Mackových, D., et al.. (2005). Evaluation of As and Sb Mobility in Contaminated Stream Sediments. Microchimica Acta. 150(3-4). 261–268. 2 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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