Arvid Berg
Impact in
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- Computational Drug Discovery Methods
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 2
- Metabolomics and Mass Spectrometry Studies 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Ola Spjuth (7 shared papers)Jonathan Alvarsson (6 shared papers)Egon Willighagen (4 shared papers)Stefan Kühn (2 shared papers)Gilleain Torrance (2 shared papers)Christoph Steinbeck (2 shared papers)Lars Carlsson (2 shared papers)Nina Jeliazkova (1 shared paper)
- Journals
- Journal of Cheminformatics (4 papers)Frontiers in Pharmacology (1 paper)Bioinformatics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- SwedenNetherlandsUnited Kingdom
In The Last Decade
Arvid Berg
6 papers receiving 485 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 309
- Spectroscopy 108
- Molecular Biology 288
- Pharmacology 34
- Pharmacology 49
Countries citing papers authored by Arvid Berg
This map shows the geographic impact of Arvid Berg'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 Arvid Berg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvid Berg more than expected).
Fields of papers citing papers by Arvid Berg
This network shows the impact of papers produced by Arvid Berg. 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 Arvid Berg. The network helps show where Arvid Berg may publish in the future.
Co-authors
The 23 scholars most cited alongside Arvid Berg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching Hit paper breakdown → | 2017 | 366 |
| 2 | 2009 | 48 | |
| 3 | 2018 | 46 | |
| 4 | 2018 | 24 | |
| 5 | 2012 | 8 | |
| 6 | 2013 | 7 | |
| 7 | 2020 | 1 |
About Arvid Berg
Arvid Berg is a scholar working on Molecular Biology, Computational Theory and Mathematics, Information Systems and Management, Spectroscopy and Materials Chemistry, having authored 7 papers that have together received 500 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Scientific Computing and Data Management (2 papers), Analytical Chemistry and Chromatography (2 papers), Machine Learning in Materials Science (2 papers), Cell Image Analysis Techniques (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Computational Theory and Mathematics (309 citations), Spectroscopy (108 citations), Molecular Biology (288 citations), Pharmacology (34 citations) and Pharmacology (49 citations). Arvid Berg has collaborated with scholars based in Sweden, Netherlands and United Kingdom. Frequent co-authors include Ola Spjuth, Jonathan Alvarsson, Egon Willighagen, Stefan Kühn, Gilleain Torrance, Christoph Steinbeck, Lars Carlsson, Nina Jeliazkova, Tomáš Pluskal and Miguel Rojas‐Chertó. Their work appears in journals such as Journal of Cheminformatics, Frontiers in Pharmacology, Bioinformatics and BMC Bioinformatics.
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.