Lance J. Nelson
Impact in
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
- Advanced Thermoelectric Materials and Devices
- Catalysis top 10%
- Catalysis and Oxidation Reactions
Papers in
-
- Advanced Chemical Physics Studies 3
- Surface and Thin Film Phenomena 3
-
- Machine Learning in Materials Science 4
- Electronic and Structural Properties of Oxides 1
- Co-authors
- Gus L. W. Hart (8 shared papers)Stefano Curtarolo (3 shared papers)Junkai Xue (2 shared papers)Ohad Levy (2 shared papers)Wahyu Setyawan (1 shared paper)Richard H. Taylor (1 shared paper)Kesong Yang (1 shared paper)Shidong Wang (1 shared paper)
- Journals
- Physical Review B (4 papers)Acta Materialia (2 papers)Computational Materials Science (2 papers)
- Partner nations
- United StatesSouth AfricaNetherlands
In The Last Decade
Lance J. Nelson
8 papers receiving 1.3k citations
Lance J. Nelson's Hit Papers
Peers
Comparison fields: 5 of 65
- Materials Chemistry 1.0k
- Catalysis 94
- Metals and Alloys 23
- Computational Theory and Mathematics 131
- Condensed Matter Physics 77
Countries citing papers authored by Lance J. Nelson
This map shows the geographic impact of Lance J. Nelson'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 Lance J. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lance J. Nelson more than expected).
Fields of papers citing papers by Lance J. Nelson
This network shows the impact of papers produced by Lance J. Nelson. 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 Lance J. Nelson. The network helps show where Lance J. Nelson may publish in the future.
Co-authors
The 25 scholars most cited alongside Lance J. Nelson, 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 | AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations Hit paper breakdown → | 2012 | 847 |
| 2 | 2013 | 180 | |
| 3 | 2012 | 101 | |
| 4 | 2013 | 72 | |
| 5 | 2011 | 45 | |
| 6 | 2016 | 28 | |
| 7 | 2012 | 17 | |
| 8 | 2014 | 5 |
About Lance J. Nelson
Lance J. Nelson is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Biomedical Engineering, General Materials Science and Structural Biology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Metallurgical and Alloy Processes (3 papers), Advanced Chemical Physics Studies (3 papers), Surface and Thin Film Phenomena (3 papers), Advanced Materials Characterization Techniques (2 papers), Microwave Imaging and Scattering Analysis (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and Electronic and Structural Properties of Oxides (1 paper). The work is most often cited by research in Materials Chemistry (1.0k citations), Catalysis (94 citations), Metals and Alloys (23 citations), Computational Theory and Mathematics (131 citations) and Condensed Matter Physics (77 citations). Lance J. Nelson has collaborated with scholars based in United States, South Africa and Netherlands. Frequent co-authors include Gus L. W. Hart, Stefano Curtarolo, Junkai Xue, Ohad Levy, Wahyu Setyawan, Richard H. Taylor, Kesong Yang, Shidong Wang, Marco Buongiorno Nardelli and Natalio Mingo. Their work appears in journals such as Physical Review B, Acta Materialia and Computational Materials Science.
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.