P. Havu
Impact in
- Materials Chemistry top 2%
- Machine Learning in Materials Science
- Graphene research and applications
- 2D Materials and Applications
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- Advanced Chemical Physics Studies
- Quantum and electron transport phenomena
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Surface and Thin Film Phenomena 5
- Quantum and electron transport phenomena 4
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- Graphene research and applications 8
- Carbon Nanotubes in Composites 5
- Machine Learning in Materials Science 3
- Co-authors
- Ville HavuMatthias SchefflerVolker BlümFelix HankeRalf GehrkeKarsten ReuterXinguo RenM. J. Puska
In The Last Decade
P. Havu
17 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Materials Chemistry 2.0k
- Atomic and Molecular Physics, and Optics 1.2k
- Catalysis 161
- Electrical and Electronic Engineering 1.2k
- Physical and Theoretical Chemistry 174
Countries citing papers authored by P. Havu
This map shows the geographic impact of P. Havu'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 P. Havu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Havu more than expected).
Fields of papers citing papers by P. Havu
This network shows the impact of papers produced by P. Havu. 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 P. Havu. The network helps show where P. Havu may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Havu, 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 | 2014 | 75 | |
| 2 | 2013 | 16 | |
| 3 | 2012 | 32 | |
| 4 | 2012 | 21 | |
| 5 | 2012 | 7 | |
| 6 | 2011 | 10 | |
| 7 | 2011 | 2 | |
| 8 | 2011 | 16 | |
| 9 | 2010 | 56 | |
| 10 | Efficient integration for all-electron electronic structure calculation using numeric basis functions Hit paper breakdown → | 2009 | 470 |
| 11 | Ab initio molecular simulations with numeric atom-centered orbitals Hit paper breakdown → | 2009 | 2206 |
| 12 | 2006 | 14 | |
| 13 | 2006 | 43 | |
| 14 | 2005 | 49 | |
| 15 | 2004 | 37 | |
| 16 | 2004 | 49 | |
| 17 | 2002 | 33 |
About P. Havu
P. Havu is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Surfaces, Coatings and Films, Electrical and Electronic Engineering and Biomedical Engineering, having authored 17 papers that have together received 3.1k indexed citations. Recurring topics across this work include Graphene research and applications (8 papers), Carbon Nanotubes in Composites (5 papers), Surface and Thin Film Phenomena (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Quantum and electron transport phenomena (4 papers), Molecular Junctions and Nanostructures (3 papers), Machine Learning in Materials Science (3 papers) and Semiconductor materials and devices (3 papers). The work is most often cited by research in Materials Chemistry (2.0k citations), Atomic and Molecular Physics, and Optics (1.2k citations), Catalysis (161 citations), Electrical and Electronic Engineering (1.2k citations) and Physical and Theoretical Chemistry (174 citations). P. Havu has collaborated with scholars based in Finland, Germany and Austria. Frequent co-authors include Ville Havu, Matthias Scheffler, Volker Blüm, Felix Hanke, Ralf Gehrke, Karsten Reuter, Xinguo Ren, M. J. Puska, R. M. Nieminen and Esko I. Kauppinen. Their work appears in journals such as Physical Review B, Computer Physics Communications, Beilstein Journal of Nanotechnology, Physical review. B, Condensed matter and Journal of Computational Chemistry.
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.