Nicholas J. Cox
- Molecular Biology top 2%
- Atomic and Molecular Physics, and Optics top 1%
- Renewable Energy, Sustainability and the Environment top 1%
- Inorganic Chemistry top 0.5%
- Materials Chemistry top 5%
- Co-authors
- Wolfgang LubitzDimitrios A. PantazisFrank NeeseJohannes MessingerThomas SteichenMarius ReteganWilliam AmesIan S. Evans
- Topics
- Probability and Statistical Research (132 papers)Photosynthetic Processes and Mechanisms (49 papers)Spectroscopy and Quantum Chemical Studies (33 papers)
- Partner nations
- United KingdomAustraliaGermany
In The Last Decade
Nicholas J. Cox
323 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Molecular Biology 3.6k
- Atomic and Molecular Physics, and Optics 2.0k
- Renewable Energy, Sustainability and the Environment 1.7k
- Inorganic Chemistry 1.6k
- Materials Chemistry 1.5k
Countries citing papers authored by Nicholas J. Cox
This map shows the geographic impact of Nicholas J. Cox'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 Nicholas J. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas J. Cox more than expected).
Fields of papers citing papers by Nicholas J. Cox
This network shows the impact of papers produced by Nicholas J. Cox. 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 Nicholas J. Cox. The network helps show where Nicholas J. Cox may publish in the future.
Co-authorship network of co-authors of Nicholas J. Cox
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Cox. A scholar is included among the top collaborators of Nicholas J. Cox 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 Nicholas J. Cox. Nicholas J. Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 27 | |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 149 | |
| 19 | 129 | |
| 20 | Diagnostic plots for assessing Singh-Maddala and Dagum distributions fitted by MLE | 1 |
About Nicholas J. Cox
Nicholas J. Cox is a scholar working on Statistics and Probability, Biophysics and Inorganic Chemistry, having authored 350 papers that have together received 8.7k indexed citations. Recurring topics across this work include Probability and Statistical Research (132 papers), Photosynthetic Processes and Mechanisms (49 papers) and Spectroscopy and Quantum Chemical Studies (33 papers). The work is most often cited by research in Inorganic Chemistry (1.6k citations), Renewable Energy, Sustainability and the Environment (1.7k citations) and Biophysics (493 citations). Nicholas J. Cox has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Wolfgang Lubitz, Dimitrios A. Pantazis, Frank Neese, Johannes Messinger, Thomas Steichen, Marius Retegan, William Ames, Ian S. Evans, Alain Boussac and A. William Rutherford. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.