W. Karcher

1.9k citations
48 papers · 1.5k · h-index 21

Impact in

Papers in

W. Karcher

47 papers receiving 1.3k citations

Peers

W. Karcher
Comparison fields: 5 of 145
  • Health, Toxicology and Mutagenesis 420
  • Computational Theory and Mathematics 387
  • Pollution 269
  • Analytical Chemistry 209
  • Chemical Health and Safety 11
Replace T. Wayne Schultz with:
T. Wayne Schultz United States
Monika Nendza Germany
Steven J. Broderius United States
Ralf‐Uwe Ebert Germany
Hans Könemann Netherlands
Manuela Pavan Italy
Alessandra Roncaglioni Italy
Mike Comber United Kingdom
S. Dimitrov Bulgaria
Anna Lombardo Italy
W. Karcher relative to T. Wayne Schultz United States T. Wayne Schultz's profile →
Citations per field
00.5×
T. Wayne Schultz · 1×
Citations per year

Countries citing papers authored by W. Karcher

Since Specialization
Citations

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

Fields of papers citing papers by W. Karcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996215
2 1988187
3 1991108
4 199399
5 199673
6 199972
7 198462
8 198655
9 199754
10 199643
11 199135
12 199734
13 199532
14 199529
15 199828
16 199327
17 199726
18 199824
19 199521
20 199321

About W. Karcher

W. Karcher is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics, Analytical Chemistry, Spectroscopy and Organic Chemistry, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Spectroscopy and Chemometric Analyses (12 papers), Toxic Organic Pollutants Impact (11 papers), Analytical Chemistry and Chromatography (10 papers), Water Quality Monitoring and Analysis (5 papers), Pesticide Residue Analysis and Safety (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (420 citations), Computational Theory and Mathematics (387 citations), Pollution (269 citations), Analytical Chemistry (209 citations) and Chemical Health and Safety (11 citations). W. Karcher has collaborated with scholars based in Italy, Netherlands and France. Frequent co-authors include James Devillers, S. Bintein, Fredrik Lindgren, Michael Sjöstróm, Bjørn Gunnar Hansen, Ovanes Mekenyan, D. Domine, Lennart Eriksson, J. Jacob and Stoyan Karabunarliev. Their work appears in journals such as SAR and QSAR in environmental research, Chemosphere, Journal of Chemometrics, Polycyclic aromatic compounds and The Science of The Total Environment.

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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