Tom Kucsera
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Health, Toxicology and Mutagenesis top 5%
- Astronomy and Astrophysics top 10%
- Environmental Engineering
- Co-authors
- Mian ChinAnne M. ThompsonHuisheng BianPeter R. ColarcoKenneth PickeringXiaohua PanInez FungJérôme A Chappellaz
- Topics
- Atmospheric chemistry and aerosols (30 papers)Atmospheric aerosols and clouds (16 papers)Atmospheric and Environmental Gas Dynamics (16 papers)
- Journals
- Journal of Geophysical Research AtmospheresGeophysical Research LettersAtmospheric Environment
- Partner nations
- United StatesJapanNorway
In The Last Decade
Tom Kucsera
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 54
- Atmospheric Science 1.0k
- Global and Planetary Change 973
- Health, Toxicology and Mutagenesis 189
- Astronomy and Astrophysics 60
- Environmental Engineering 56
Countries citing papers authored by Tom Kucsera
This map shows the geographic impact of Tom Kucsera'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 Tom Kucsera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Kucsera more than expected).
Fields of papers citing papers by Tom Kucsera
This network shows the impact of papers produced by Tom Kucsera. 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 Tom Kucsera. The network helps show where Tom Kucsera may publish in the future.
Co-authorship network of co-authors of Tom Kucsera
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Kucsera. A scholar is included among the top collaborators of Tom Kucsera 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 Tom Kucsera. Tom Kucsera 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 | 159 | |
| 3 | 17 | |
| 4 | 6 | |
| 5 | 39 | |
| 6 | 2 | |
| 7 | 54 | |
| 8 | 2 | |
| 9 | 84 | |
| 10 | 31 | |
| 11 | 41 | |
| 12 | 9 | |
| 13 | 84 | |
| 14 | The Use of Satellite-Measured Aerosol Optical Depth to Constrain Biomass Burning Emissions Source Strength in the GOCART Model | 1 |
| 15 | 65 | |
| 16 | A New Web-based Tool for Aerosol Data Analysis: the AERONET Data Synergy Tool | 1 |
| 17 | 52 | |
| 18 | 38 | |
| 19 | 33 | |
| 20 | On the Latitude Dependence of Ozone Depletion Predictions | 0 |
About Tom Kucsera
Tom Kucsera is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (30 papers), Atmospheric aerosols and clouds (16 papers) and Atmospheric and Environmental Gas Dynamics (16 papers). The work is most often cited by research in Atmospheric Science (1.0k citations), Global and Planetary Change (973 citations) and Health, Toxicology and Mutagenesis (189 citations). Tom Kucsera has collaborated with scholars based in United States, Japan and Norway. Frequent co-authors include Mian Chin, Anne M. Thompson, Huisheng Bian, Peter R. Colarco, Kenneth Pickering, Xiaohua Pan, Inez Fung, Jérôme A Chappellaz, Arlindo da Silva and Anton Darmenov. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric Environment.
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.