Carl Poelking
- Electrical and Electronic Engineering top 5%
- Materials Chemistry top 5%
- Polymers and Plastics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- Denis AndrienkoGábor CśanyiMichele CeriottiAlbert P. BartókNoam BernsteinJames R. KermodeSandip DeKarl Leo
- Topics
- Organic Electronics and Photovoltaics (15 papers)Conducting polymers and applications (11 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Carl Poelking
21 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 1.2k
- Materials Chemistry 798
- Polymers and Plastics 664
- Atomic and Molecular Physics, and Optics 271
- Computational Theory and Mathematics 217
Countries citing papers authored by Carl Poelking
This map shows the geographic impact of Carl Poelking'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 Carl Poelking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl Poelking more than expected).
Fields of papers citing papers by Carl Poelking
This network shows the impact of papers produced by Carl Poelking. 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 Carl Poelking. The network helps show where Carl Poelking may publish in the future.
Co-authorship network of co-authors of Carl Poelking
This figure shows the co-authorship network connecting the top 25 collaborators of Carl Poelking. A scholar is included among the top collaborators of Carl Poelking 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 Carl Poelking. Carl Poelking is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 69 | |
| 6 | 3 | |
| 7 | 117 | |
| 8 | Machine learning unifies the modeling of materials and moleculesbreakdown → | 495 |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 47 | |
| 12 | 153 | |
| 13 | 248 | |
| 14 | 34 | |
| 15 | 95 | |
| 16 | 186 | |
| 17 | 50 | |
| 18 | 90 | |
| 19 | 39 | |
| 20 | 8 |
About Carl Poelking
Carl Poelking is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (15 papers), Conducting polymers and applications (11 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Polymers and Plastics (664 citations), Electrical and Electronic Engineering (1.2k citations) and Materials Chemistry (798 citations). Carl Poelking has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Denis Andrienko, Gábor Cśanyi, Michele Ceriotti, Albert P. Bartók, Noam Bernstein, James R. Kermode, Sandip De, Karl Leo, Martin Schwarze and Katrin Ortstein. Their work appears in journals such as Science, Journal of the American Chemical Society and Nature Communications.
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.