Dániel Kovács

589 citations
26 papers · 474 · h-index 12

Impact in

Papers in

Dániel Kovács

26 papers receiving 472 citations

Peers

Dániel Kovács
Comparison fields: 5 of 74
  • Inorganic Chemistry 116
  • Electronic, Optical and Magnetic Materials 135
  • Materials Chemistry 313
  • Endocrine and Autonomic Systems 37
  • Spectroscopy 68
Replace Valentina A. Kudryashova with:
Valentina A. Kudryashova Russia
Lucı́a Álvarez Spain
Jacqueline M. Veauthier United States
Shigeru Obara Japan
Thomas Kruse Hansen Denmark
Hua Ma China
Jean‐François Morfin France
Yu. А. Borisov Russia
Adam J. Lowe United States
María Francisca Matus Finland
Dániel Kovács relative to Valentina A. Kudryashova Russia Valentina A. Kudryashova's profile →
Citations per field
00.5×5.3×
Valentina A. Kudryashova · 1×
Citations per year

Countries citing papers authored by Dániel Kovács

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dániel Kovács, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dániel Kovács Line = papers co-authored together Dániel Kovács links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 201860
3 202046
4 201939
5 201931
6 202025
7 201624
8 201822
9 201919
10 201614
11 202013
12 202211
13 201810
14 20169
15 20218
16 20217
17 20217
18 20206
19 20225
20 20185

About Dániel Kovács

Dániel Kovács is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Inorganic Chemistry, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 474 indexed citations. Recurring topics across this work include Lanthanide and Transition Metal Complexes (16 papers), Magnetism in coordination complexes (10 papers), Radioactive element chemistry and processing (8 papers), Molecular Sensors and Ion Detection (3 papers), Advanced MRI Techniques and Applications (3 papers), Luminescence and Fluorescent Materials (2 papers), Porphyrin and Phthalocyanine Chemistry (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Inorganic Chemistry (116 citations), Electronic, Optical and Magnetic Materials (135 citations), Materials Chemistry (313 citations), Endocrine and Autonomic Systems (37 citations) and Spectroscopy (68 citations). Dániel Kovács has collaborated with scholars based in Sweden, United Kingdom and Hungary. Frequent co-authors include K. Eszter Borbas, Julien Andrès, Xi Lu, Marjam Karlsson Ott, Lívia S. Mészáros, Andreas Orthaber, Émilie Mathieu, Polly L. Arnold, Jason B. Love and Jonathan Austin. Their work appears in journals such as Dalton Transactions, Journal of the American Chemical Society, Chemistry - A European Journal, Analytical Chemistry and Lung.

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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