Pia Vervoorts
- Inorganic Chemistry top 5%
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering
- Mechanical Engineering
- Co-authors
- Roland A. FischerGregor KieslichAndreas SchneemannClaire L. HobdayDominik DaisenbergerSebastian HenkeSuttipong WannapaiboonTina Düren
- Topics
- Metal-Organic Frameworks: Synthesis and Applications (14 papers)Crystallography and molecular interactions (8 papers)Machine Learning in Materials Science (5 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionChemistry of Materials
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Pia Vervoorts
16 papers receiving 439 citations
Peers
Comparison fields: 5 of 38
- Inorganic Chemistry 389
- Materials Chemistry 326
- Electronic, Optical and Magnetic Materials 116
- Electrical and Electronic Engineering 58
- Mechanical Engineering 51
Countries citing papers authored by Pia Vervoorts
This map shows the geographic impact of Pia Vervoorts'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 Pia Vervoorts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Vervoorts more than expected).
Fields of papers citing papers by Pia Vervoorts
This network shows the impact of papers produced by Pia Vervoorts. 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 Pia Vervoorts. The network helps show where Pia Vervoorts may publish in the future.
Co-authorship network of co-authors of Pia Vervoorts
This figure shows the co-authorship network connecting the top 25 collaborators of Pia Vervoorts. A scholar is included among the top collaborators of Pia Vervoorts 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 Pia Vervoorts. Pia Vervoorts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 29 | |
| 5 | 1 | |
| 6 | 43 | |
| 7 | 12 | |
| 8 | 19 | |
| 9 | 28 | |
| 10 | 20 | |
| 11 | 27 | |
| 12 | 17 | |
| 13 | 26 | |
| 14 | 89 | |
| 15 | 22 | |
| 16 | 85 |
About Pia Vervoorts
Pia Vervoorts is a scholar working on Inorganic Chemistry, Physical and Theoretical Chemistry and Materials Chemistry, having authored 16 papers that have together received 445 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (14 papers), Crystallography and molecular interactions (8 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Inorganic Chemistry (389 citations), Materials Chemistry (326 citations) and Electronic, Optical and Magnetic Materials (116 citations). Pia Vervoorts has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Roland A. Fischer, Gregor Kieslich, Andreas Schneemann, Claire L. Hobday, Dominik Daisenberger, Sebastian Henke, Suttipong Wannapaiboon, Tina Düren, Andrew J. Smith and Stefano Dissegna. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemistry of Materials.
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.