Abhishek Chatterjee

3.0k total citations · 1 hit paper
46 papers, 963 citations indexed

About

Abhishek Chatterjee is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Abhishek Chatterjee has authored 46 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Global and Planetary Change, 28 papers in Atmospheric Science and 4 papers in Artificial Intelligence. Recurrent topics in Abhishek Chatterjee's work include Atmospheric and Environmental Gas Dynamics (31 papers), Atmospheric chemistry and aerosols (14 papers) and Climate variability and models (14 papers). Abhishek Chatterjee is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (31 papers), Atmospheric chemistry and aerosols (14 papers) and Climate variability and models (14 papers). Abhishek Chatterjee collaborates with scholars based in United States, Canada and India. Abhishek Chatterjee's co-authors include David Crisp, C. O’Dell, A. M. Michalak, Benjamin Poulter, A. Eldering, David Schimel, Zhen Zhang, Debra Wunch, P. O. Wennberg and Brad Weir and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Abhishek Chatterjee

38 papers receiving 938 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Carbon emissions from the 2023 Canadian wildfires

2024 73 citations Brendan Byrne, Junjie Liu et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abhishek Chatterjee United States	16	752	522	118	82	58	46	963
Dongxu Yang China	19	1.0k 1.4×	709 1.4×	189 1.6×	102 1.2×	66 1.1×	53	1.3k
Z. Zhu China	15	927 1.2×	597 1.1×	202 1.7×	95 1.2×	17 0.3×	46	1.1k
François‐Marie Bréon France	8	509 0.7×	411 0.8×	111 0.9×	125 1.5×	21 0.4×	11	678
Xinguang He China	16	406 0.5×	250 0.5×	238 2.0×	61 0.7×	51 0.9×	53	736
Kuang Kuang Taiwan	12	388 0.5×	142 0.3×	95 0.8×	139 1.7×	43 0.7×	113	833
Zhao‐Cheng Zeng China	20	986 1.3×	642 1.2×	337 2.9×	41 0.5×	88 1.5×	76	1.3k
Eliza S. Bradley United States	12	495 0.7×	183 0.4×	61 0.5×	81 1.0×	57 1.0×	20	921
Wenhui Wang United States	21	863 1.1×	817 1.6×	362 3.1×	166 2.0×	7 0.1×	80	1.5k
André Hollstein Germany	8	512 0.7×	287 0.5×	208 1.8×	421 5.1×	19 0.3×	18	890

Countries citing papers authored by Abhishek Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Abhishek Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Chatterjee

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

All Works

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20 of 20 papers shown

Chatterjee, Abhishek, et al.. (2025). Regional fire dynamics and its contributions to carbon flux variability in South Asia. Environmental Research Letters. 20(12). 124004–124004.

Laughner, Joshua L., C. O’Dell, Steven T. Massie, et al.. (2025). Uncertainty‐Aware Machine Learning Bias Correction and Filtering for OCO‐2: 1. Earth and Space Science. 12(7).

Nassar, Ray, et al.. (2025). Quantifying CO₂ Emissions From Smaller Anthropogenic Point Sources Using OCO‐2 Target and OCO‐3 Snapshot Area Mapping Mode Observations. Journal of Geophysical Research Atmospheres. 130(2). 2 indexed citations

Pandey, Sudhanshu, Frédéric Chevallier, Christian Rödenbeck, et al.. (2025). Reduction in Earth’s carbon budget imbalance. Nature Communications. 16(1). 6818–6818.

O’Dell, C., Thomas E. Taylor, T. L. Logan, et al.. (2024). The importance of digital elevation model accuracy in X _{CO ₂} retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product. Atmospheric measurement techniques. 17(5). 1375–1401. 14 indexed citations

Byrne, Brendan, Junjie Liu, K. W. Bowman, et al.. (2024). Carbon emissions from the 2023 Canadian wildfires. Nature. 633(8031). 835–839. 73 indexed citations breakdown →

Pandey, Sudhanshu, J. B. Miller, Sourish Basu, et al.. (2024). Toward Low‐Latency Estimation of Atmospheric CO₂ Growth Rates Using Satellite Observations: Evaluating Sampling Errors of Satellite and In Situ Observing Approaches. SHILAP Revista de lepidopterología. 5(4). 2 indexed citations

Madani, Nima, Nicholas C. Parazoo, Manfredi Manizza, et al.. (2024). A Machine Learning Approach to Produce a Continuous Solar‐Induced Chlorophyll Fluorescence Over the Arctic Ocean. SHILAP Revista de lepidopterología. 1(4).

Ma, Lei, G. C. Hurtt, Lesley Ott, et al.. (2022). Global evaluation of the Ecosystem Demography model (ED v3.0). Geoscientific model development. 15(5). 1971–1994. 15 indexed citations

10.

Byrne, Brendan, Junjie Liu, Yonghong Yi, et al.. (2022). Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia. Biogeosciences. 19(19). 4779–4799. 5 indexed citations

11.

Sweeney, Colm, Abhishek Chatterjee, S. Wolter, et al.. (2022). Using atmospheric trace gas vertical profiles to evaluate model fluxes: a case study of Arctic-CAP observations and GEOS simulations for the ABoVE domain. Atmospheric chemistry and physics. 22(9). 6347–6364. 7 indexed citations

12.

Keller, Graziela R., Robert Rosenberg, Gary D. Spiers, et al.. (2022). Inflight Radiometric Calibration and Performance of the Orbiting Carbon Observatory 3 for Version 10 Products. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 1 indexed citations

13.

Ma, Lei, G. C. Hurtt, Lesley Ott, et al.. (2021). Global Evaluation of the Ecosystem Demography Model (ED v3.0). Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

14.

Bruhwiler, Lori, Sourish Basu, J. H. Butler, et al.. (2021). Observations of greenhouse gases as climate indicators. Climatic Change. 165(1-2). 12–12. 51 indexed citations

15.

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

16.

Weir, Brad, Lesley Ott, G. J. Collatz, et al.. (2021). Bias-correcting carbon fluxes derived from land-surface satellite data for retrospective and near-real-time assimilation systems. Atmospheric chemistry and physics. 21(12). 9609–9628. 14 indexed citations

17.

Sweeney, Colm, Abhishek Chatterjee, S. Wolter, et al.. (2020). Atmospheric carbon cycle dynamics over the ABoVEdomain: an integrated analysis using aircraft observations (Arctic-CAP) and model simulations (GEOS). 4 indexed citations

18.

Weir, Brad, Lesley Ott, G. J. Collatz, et al.. (2020). Calibrating satellite-derived carbon fluxes for retrospective and near real-time assimilation systems. 1 indexed citations

19.

Ott, Lesley, Abhishek Chatterjee, Y. Chen, et al.. (2018). Toward Integrated Seasonal Predictions of Land and Ocean Carbon Flux: Lessons from the 2015-16 El Nino. 2018. 1 indexed citations

20.

Chatterjee, Abhishek & A. M. Michalak. (2013). Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO ₂ data assimilation. Atmospheric chemistry and physics. 13(23). 11643–11660. 16 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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