Ralf Matschat

50 papers receiving 575 citations

Peers

Ralf Matschat
Comparison fields: 5 of 71
  • Analytical Chemistry 335
  • Statistics, Probability and Uncertainty 101
  • Radiation 99
  • Spectroscopy 147
  • Electrochemistry 45
Replace Sebastian Recknagel with:
Sebastian Recknagel Germany
Juan C. Ivaldi United States
K. Laqua Germany
Tibor Kántor Hungary
Emmanuelle Poussel France
P. Tschöpel Germany
H.G.C. Human South Africa
F.J. de Boer Netherlands
S. A. Myers United States
L.K. Polzik Russia
Ralf Matschat relative to Sebastian Recknagel Germany Sebastian Recknagel's profile →
Citations per field
00.5×5.3×
Sebastian Recknagel · 1×
Citations per year

Countries citing papers authored by Ralf Matschat

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Matschat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ralf Matschat, 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 Ralf Matschat Line = papers co-authored together Ralf Matschat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200653
2 201032
3 200629
4 201526
5 199925
6 201124
7 201022
8 199922
9 200521
10 200720
11 200919
12 199718
13 201118
14 200917
15 200717
16 200716
17 201014
18 200414
19 200213
20 200212

About Ralf Matschat

Ralf Matschat is a scholar working on Analytical Chemistry, Radiation, Statistics, Probability and Uncertainty, Computational Mechanics and Spectroscopy, having authored 50 papers that have together received 594 indexed citations. Recurring topics across this work include Analytical chemistry methods development (30 papers), Scientific Measurement and Uncertainty Evaluation (12 papers), Ion-surface interactions and analysis (11 papers), Mass Spectrometry Techniques and Applications (9 papers), Nuclear Physics and Applications (7 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), Pesticide Residue Analysis and Safety (5 papers) and Extraction and Separation Processes (5 papers). The work is most often cited by research in Analytical Chemistry (335 citations), Statistics, Probability and Uncertainty (101 citations), Radiation (99 citations), Spectroscopy (147 citations) and Electrochemistry (45 citations). Ralf Matschat has collaborated with scholars based in Germany, United States and Bulgaria. Frequent co-authors include Heinrich Kipphardt, Ulrich Panne, Joachim Hinrichs, Silke Richter, Heike Traub, P. G. Barth, Sebastian Recknagel, Detlef Schiel, Olaf Rienitz and Thomas Hofmann. Their work appears in journals such as Journal of Analytical Atomic Spectrometry, Analytical and Bioanalytical Chemistry, Accreditation and Quality Assurance, Metrologia and Microchimica Acta.

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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