M. Ross Kunz
- Materials Chemistry
- Electrical and Electronic Engineering
- Catalysis top 5%
- Automotive Engineering top 5%
- Analytical Chemistry top 5%
- Co-authors
- Andrew J. MedfordTammie L. BordersJohn H. KalivasEric J. DufekBor‐Rong ChenTanvir R. TanimErik AndriesRebecca Fushimi
- Topics
- Catalytic Processes in Materials Science (13 papers)Catalysis and Oxidation Reactions (10 papers)Machine Learning in Materials Science (7 papers)
- Journals
- Journal of the American Chemical SocietyAnalytical ChemistryJournal of Agricultural and Food Chemistry
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
M. Ross Kunz
31 papers receiving 709 citations
Peers
Comparison fields: 5 of 83
- Materials Chemistry 291
- Electrical and Electronic Engineering 205
- Catalysis 165
- Automotive Engineering 158
- Analytical Chemistry 126
Countries citing papers authored by M. Ross Kunz
This map shows the geographic impact of M. Ross Kunz'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 M. Ross Kunz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ross Kunz more than expected).
Fields of papers citing papers by M. Ross Kunz
This network shows the impact of papers produced by M. Ross Kunz. 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 M. Ross Kunz. The network helps show where M. Ross Kunz may publish in the future.
Co-authorship network of co-authors of M. Ross Kunz
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ross Kunz. A scholar is included among the top collaborators of M. Ross Kunz 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 M. Ross Kunz. M. Ross Kunz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 24 | |
| 4 | 56 | |
| 5 | 4 | |
| 6 | 25 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 55 | |
| 13 | 33 | |
| 14 | 12 | |
| 15 | Correlated Synthetic Time Series Generation Using Fourier and ARMA | 3 |
| 16 | 14 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 31 |
About M. Ross Kunz
M. Ross Kunz is a scholar working on Catalysis, Analytical Chemistry and Materials Chemistry, having authored 31 papers that have together received 724 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (13 papers), Catalysis and Oxidation Reactions (10 papers) and Machine Learning in Materials Science (7 papers). The work is most often cited by research in Catalysis (165 citations), Automotive Engineering (158 citations) and Analytical Chemistry (126 citations). M. Ross Kunz has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Andrew J. Medford, Tammie L. Borders, John H. Kalivas, Eric J. Dufek, Bor‐Rong Chen, Tanvir R. Tanim, Erik Andries, Rebecca Fushimi, Yixiao Wang and Gregory S. Yablonsky. Their work appears in journals such as Journal of the American Chemical Society, Analytical Chemistry and Journal of Agricultural and Food 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.