Daniel Riebe

409 citations
26 papers · 319 · h-index 10

Impact in

Papers in

    • Mass Spectrometry Techniques and Applications 17
    • Analytical Chemistry and Chromatography 10
    • Analytical chemistry methods development 10
    • Spectroscopy and Chemometric Analyses 3

Daniel Riebe

26 papers receiving 310 citations

Peers

Daniel Riebe
Comparison fields: 5 of 55
  • Analytical Chemistry 153
  • Mechanics of Materials 139
  • Spectroscopy 92
  • Archeology 34
  • Health, Toxicology and Mutagenesis 41
Replace Marco Aurélio Sperança with:
Marco Aurélio Sperança Brazil
Daniel Díaz United States
Sarah C. Jantzi United States
Deng Zhang China
Jeyne Pricylla Castro Brazil
Carlos Renato Menegatti Brazil
Qi Shi China
Junfei Nie China
Xutai Cui China
Zhiyang Tang China
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Citations per field
00.5×2.9×
Marco Aurélio Sperança · 1×
Citations per year

Countries citing papers authored by Daniel Riebe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Riebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Riebe, 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 Daniel Riebe Line = papers co-authored together Daniel Riebe 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 202088
2 202049
3 202127
4 201919
5 201515
6 202014
7 201812
8 201610
9 202310
10 20179
11 20219
12 20169
13 20168
14 20178
15 20204
16 20144
17 20164
18 20174
19 20143
20 20203

About Daniel Riebe

Daniel Riebe is a scholar working on Spectroscopy, Analytical Chemistry, Biomedical Engineering, Mechanics of Materials and Archeology, having authored 26 papers that have together received 319 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (17 papers), Analytical chemistry methods development (10 papers), Analytical Chemistry and Chromatography (10 papers), Laser-induced spectroscopy and plasma (7 papers), Advanced Chemical Sensor Technologies (5 papers), Cultural Heritage Materials Analysis (4 papers), Spectroscopy and Chemometric Analyses (3 papers) and Ion-surface interactions and analysis (2 papers). The work is most often cited by research in Analytical Chemistry (153 citations), Mechanics of Materials (139 citations), Spectroscopy (92 citations), Archeology (34 citations) and Health, Toxicology and Mutagenesis (41 citations). Daniel Riebe has collaborated with scholars based in Germany, Czechia and Poland. Frequent co-authors include Toralf Beitz, Hans‐Gerd Löhmannsröben, Robin Gebbers, Uwe Altenberger, Ludovic Duponchel, Sven Connemann, Jakub Vrábel, Xiaofeng Tan, Erik Képeš and Manoj Kumar Gundawar. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Sensors, Journal of Mass Spectrometry, European Journal of Mass Spectrometry and Spectrochimica Acta Part B Atomic Spectroscopy.

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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