Martin G. Hicks
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Spectroscopy top 10%
- Molecular Biology
- Physical and Theoretical Chemistry top 10%
- Co-authors
- David T. StantonPeter C. JursClemens JochumHarvey P. WeingartenTimothy ClarkNataša Milić-FraylingCarsten KettnerWalter Thiel
- Topics
- Various Chemistry Research Topics (6 papers)Computational Drug Discovery Methods (5 papers)Analytical Chemistry and Chromatography (4 papers)
- Journals
- Analytica Chimica ActaJournal of Computational ChemistryJournal of the Chemical Society Perkin Transactions 1
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Martin G. Hicks
25 papers receiving 307 citations
Peers
Comparison fields: 5 of 95
- Computational Theory and Mathematics 153
- Organic Chemistry 113
- Spectroscopy 86
- Molecular Biology 54
- Physical and Theoretical Chemistry 45
Countries citing papers authored by Martin G. Hicks
This map shows the geographic impact of Martin G. Hicks'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 Martin G. Hicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin G. Hicks more than expected).
Fields of papers citing papers by Martin G. Hicks
This network shows the impact of papers produced by Martin G. Hicks. 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 Martin G. Hicks. The network helps show where Martin G. Hicks may publish in the future.
Co-authorship network of co-authors of Martin G. Hicks
This figure shows the co-authorship network connecting the top 25 collaborators of Martin G. Hicks. A scholar is included among the top collaborators of Martin G. Hicks 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 Martin G. Hicks. Martin G. Hicks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | Link Structure Graphs for Representing and Analyzing Web Sites | 3 |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 35 | |
| 14 | 21 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 43 | |
| 18 | 8 | |
| 19 | 10 | |
| 20 | 4 |
About Martin G. Hicks
Martin G. Hicks is a scholar working on Physical and Theoretical Chemistry, Human-Computer Interaction and Computational Theory and Mathematics, having authored 26 papers that have together received 327 indexed citations. Recurring topics across this work include Various Chemistry Research Topics (6 papers), Computational Drug Discovery Methods (5 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Computational Theory and Mathematics (153 citations), Spectroscopy (86 citations) and Physical and Theoretical Chemistry (45 citations). Martin G. Hicks has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include David T. Stanton, Peter C. Jurs, Clemens Jochum, Harvey P. Weingarten, Timothy Clark, Nataša Milić-Frayling, Carsten Kettner, Walter Thiel, Rachel Jones and Claire O’Malley. Their work appears in journals such as Analytica Chimica Acta, Journal of Computational Chemistry and Journal of the Chemical Society Perkin Transactions 1.
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.