Jörg K. Wegner
- Computational Theory and Mathematics top 0.2%
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Spectroscopy top 5%
- Artificial Intelligence top 10%
- Co-authors
- Andreas ZellHugo CeulemansSepp HochreiterGünter KlambauerHolger FröhlichAndreas BenderGerard J. P. van WestenAdriaan P. IJzerman
- Topics
- Computational Drug Discovery Methods (39 papers)Machine Learning in Materials Science (21 papers)Metabolomics and Mass Spectrometry Studies (8 papers)
- Partner nations
- BelgiumUnited StatesGermany
In The Last Decade
Jörg K. Wegner
47 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computational Theory and Mathematics 1.5k
- Molecular Biology 1.4k
- Materials Chemistry 668
- Spectroscopy 230
- Artificial Intelligence 197
Countries citing papers authored by Jörg K. Wegner
This map shows the geographic impact of Jörg K. Wegner'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 Jörg K. Wegner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg K. Wegner more than expected).
Fields of papers citing papers by Jörg K. Wegner
This network shows the impact of papers produced by Jörg K. Wegner. 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 Jörg K. Wegner. The network helps show where Jörg K. Wegner may publish in the future.
Co-authorship network of co-authors of Jörg K. Wegner
This figure shows the co-authorship network connecting the top 25 collaborators of Jörg K. Wegner. A scholar is included among the top collaborators of Jörg K. Wegner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jörg K. Wegner. Jörg K. Wegner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 17 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 21 | |
| 7 | Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. | 1 |
| 8 | 29 | |
| 9 | 36 | |
| 10 | 86 | |
| 11 | 21 | |
| 12 | 140 | |
| 13 | 81 | |
| 14 | 39 | |
| 15 | 14 | |
| 16 | 40 | |
| 17 | 14 | |
| 18 | 44 | |
| 19 | 32 | |
| 20 | Automatic determination of decay rates of single- and double-labelled samples with the aid of a programmable desk computer in off-line regime | 0 |
About Jörg K. Wegner
Jörg K. Wegner is a scholar working on Computational Theory and Mathematics, Virology and Spectroscopy, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (39 papers), Machine Learning in Materials Science (21 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Biophysics (177 citations) and Molecular Biology (1.4k citations). Jörg K. Wegner has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Andreas Zell, Hugo Ceulemans, Sepp Hochreiter, Günter Klambauer, Holger Fröhlich, Andreas Bender, Gerard J. P. van Westen, Adriaan P. IJzerman, Herman van Vlijmen and Marvin Steijaert. Their work appears in journals such as PLoS ONE, Scientific Reports and Communications of the ACM.
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.