Tomohiro Oda

7.2k total citations · 2 hit papers
78 papers, 3.7k citations indexed

About

Tomohiro Oda is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Tomohiro Oda has authored 78 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Global and Planetary Change, 52 papers in Atmospheric Science and 13 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Tomohiro Oda's work include Atmospheric and Environmental Gas Dynamics (65 papers), Atmospheric chemistry and aerosols (41 papers) and Atmospheric Ozone and Climate (25 papers). Tomohiro Oda is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (65 papers), Atmospheric chemistry and aerosols (41 papers) and Atmospheric Ozone and Climate (25 papers). Tomohiro Oda collaborates with scholars based in United States, Japan and France. Tomohiro Oda's co-authors include Shamil Maksyutov, R. J. Andres, E. A. Kort, K. R. Gurney, Charles E. Miller, Christian Frankenberg, Kouichi Ohe, Kazuhiro Okamoto, Thomas Lauvaux and Makoto Saito and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Environmental Science & Technology.

In The Last Decade

Tomohiro Oda

74 papers receiving 3.6k citations

Hit Papers

A very high-resolution (1 km×1 km) global fossil fuel CO ... 2011 2026 2016 2021 2011 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomohiro Oda United States 30 3.0k 2.1k 803 666 317 78 3.7k
Yiming Liu China 35 916 0.3× 2.2k 1.0× 1.7k 2.1× 1.1k 1.7× 112 0.4× 182 4.3k
Shaojie Song China 33 935 0.3× 1.8k 0.9× 1.6k 2.0× 794 1.2× 109 0.3× 121 3.5k
Eloïse A. Marais United Kingdom 29 1.5k 0.5× 2.2k 1.0× 1.8k 2.3× 633 1.0× 93 0.3× 74 3.7k
J. van Aardenne Italy 18 1.4k 0.5× 2.3k 1.1× 777 1.0× 1.0k 1.5× 102 0.3× 29 3.2k
Vaishali Naïk United States 42 3.0k 1.0× 3.9k 1.8× 2.3k 2.8× 725 1.1× 305 1.0× 103 5.5k
Nadine Unger United States 30 1.9k 0.7× 2.2k 1.0× 926 1.2× 357 0.5× 152 0.5× 58 3.3k
Lu Shen United States 31 2.1k 0.7× 3.9k 1.8× 3.0k 3.7× 1.7k 2.6× 129 0.4× 67 5.0k
Claire Granier United States 36 4.8k 1.6× 7.0k 3.3× 3.1k 3.8× 1.2k 1.8× 101 0.3× 68 8.2k
Surabi Menon United States 20 2.6k 0.9× 2.8k 1.3× 1.0k 1.3× 822 1.2× 136 0.4× 28 4.2k
Kaarle Kupiainen Finland 31 1.1k 0.4× 2.2k 1.0× 2.0k 2.5× 609 0.9× 135 0.4× 65 3.5k

Countries citing papers authored by Tomohiro Oda

Since Specialization
Citations

This map shows the geographic impact of Tomohiro Oda'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 Tomohiro Oda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Oda more than expected).

Fields of papers citing papers by Tomohiro Oda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomohiro Oda. 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 Tomohiro Oda. The network helps show where Tomohiro Oda may publish in the future.

Co-authorship network of co-authors of Tomohiro Oda

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Oda. A scholar is included among the top collaborators of Tomohiro Oda 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 Tomohiro Oda. Tomohiro Oda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lin, John C., et al.. (2024). Toward a satellite-based monitoring system for urban CO2 emissions in support of global collective climate mitigation actions. Environmental Research Letters. 19(8). 84029–84029. 4 indexed citations
2.
Oda, Tomohiro, et al.. (2023). Potentially underestimated gas flaring activities—a new approach to detect combustion using machine learning and NASA’s Black Marble product suite. Environmental Research Letters. 18(3). 35001–35001. 7 indexed citations
3.
Kort, E. A., et al.. (2023). Using Space‐Based CO 2 and NO 2 Observations to Estimate Urban CO 2 Emissions. Journal of Geophysical Research Atmospheres. 128(6). 23 indexed citations
4.
Zeng, Zhao‐Cheng, Thomas J. Pongetti, Sally Newman, et al.. (2023). Decadal decrease in Los Angeles methane emissions is much smaller than bottom-up estimates. Nature Communications. 14(1). 5353–5353. 17 indexed citations
5.
Weir, Brad, David Crisp, C. O’Dell, et al.. (2021). Regional impacts of COVID-19 on carbon dioxide detected worldwide from space. Science Advances. 7(45). eabf9415–eabf9415. 48 indexed citations
6.
Wu, Dien, et al.. (2021). An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO2 Retrievals. Earth and Space Science. 8(4). e2020EA001343–e2020EA001343. 10 indexed citations
7.
Han, Pengfei, Qixiang Cai, Tomohiro Oda, et al.. (2020). Assessing the recent impact of COVID-19 on carbon emissions from China using domestic economic data. 3 indexed citations
8.
Kuze, Akihiko, Hiroshi Suto, Kei Shiomi, et al.. (2020). City-level CO2, CH4, and NO2 observations from Space: Airborne model demonstration over Nagoya. 1 indexed citations
9.
Wang, James S., Tomohiro Oda, S. R. Kawa, et al.. (2020). The impacts of fossil fuel emission uncertainties and accounting for 3-D chemical CO2 production on inverse natural carbon flux estimates from satellite and in situ data. Environmental Research Letters. 15(8). 85002–85002. 7 indexed citations
10.
Lauvaux, Thomas, K. R. Gurney, N. L. Miles, et al.. (2020). Policy-Relevant Assessment of Urban CO2 Emissions. Environmental Science & Technology. 54(16). 10237–10245. 72 indexed citations
11.
Pan, Xiaohua, Charles Ichoku, Mian Chin, et al.. (2020). Six global biomass burning emission datasets: intercomparison and application in one global aerosol model. Atmospheric chemistry and physics. 20(2). 969–994. 159 indexed citations
12.
Ye, Xinxin, Thomas Lauvaux, E. A. Kort, et al.. (2020). Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2. Journal of Geophysical Research Atmospheres. 125(8). 80 indexed citations
13.
Pan, Xiaohua, Charles Ichoku, Mian Chin, et al.. (2019). Six Global Biomass Burning Emission Datasets: Inter-comparison and Application in one Global Aerosol Model. 6 indexed citations
14.
Feng, Sha, Thomas Lauvaux, Klaus Keller, et al.. (2019). A Road Map for Improving the Treatment of Uncertainties in High‐Resolution Regional Carbon Flux Inverse Estimates. Geophysical Research Letters. 46(22). 13461–13469. 29 indexed citations
15.
Gaughan, Andrea E., Tomohiro Oda, Alessandro Sorichetta, et al.. (2019). Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO 2 emission in Vietnam, Cambodia and Laos. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
16.
Hedelius, Jacob K., Junjie Liu, Tomohiro Oda, et al.. (2018). Southern California Megacity CO2, CH4, and CO flux estimatesusing remote sensing and a Lagrangian model. Biogeosciences (European Geosciences Union). 2 indexed citations
17.
Schwandner, F. M., Vincent J. Realmuto, Simon Carn, et al.. (2015). CO2 Plume Detection, Verification, and Flux Determination Using OCO-2 Data: Volcanoes and Power Plants. EGU General Assembly Conference Abstracts. 7665. 1 indexed citations
18.
Saeki, Tazu, Shamil Maksyutov, Motoki Sasakawa, et al.. (2012). Carbon flux estimation for Siberia by inverse modeling constrained by aircraft and tower CO 2 measurements. AGUFM. 2012. 1 indexed citations
19.
Oda, Tomohiro & Shamil Maksyutov. (2010). A high-resolution global inventory of fossil fuel CO2 emission derived using a global power plant database and satellite-observed nightlight data. EGU General Assembly Conference Abstracts. 6550. 2 indexed citations

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.

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