Sergio A. Sejas

597 total citations
20 papers, 390 citations indexed

About

Sergio A. Sejas is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Chemistry. According to data from OpenAlex, Sergio A. Sejas has authored 20 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 18 papers in Atmospheric Science and 1 paper in Environmental Chemistry. Recurrent topics in Sergio A. Sejas's work include Climate variability and models (14 papers), Atmospheric and Environmental Gas Dynamics (13 papers) and Arctic and Antarctic ice dynamics (7 papers). Sergio A. Sejas is often cited by papers focused on Climate variability and models (14 papers), Atmospheric and Environmental Gas Dynamics (13 papers) and Arctic and Antarctic ice dynamics (7 papers). Sergio A. Sejas collaborates with scholars based in United States, China and Denmark. Sergio A. Sejas's co-authors include Patrick C. Taylor, Ming Cai, Robyn C. Boeke, Xiaoming Hu, Song Yang, Yi Deng, Warren M. Washington, Aixue Hu, Gerald A. Meehl and Nicole Feldl and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Sergio A. Sejas

18 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio A. Sejas United States 11 330 303 22 19 11 20 390
A. V. Timazhev Russia 11 305 0.9× 328 1.1× 26 1.2× 23 1.2× 12 1.1× 28 362
Alcide Zhao United Kingdom 8 271 0.8× 291 1.0× 21 1.0× 15 0.8× 12 1.1× 12 340
Dmitry Chechin Russia 9 429 1.3× 328 1.1× 55 2.5× 21 1.1× 19 1.7× 31 454
Vineel Yettella United States 8 492 1.5× 506 1.7× 74 3.4× 6 0.3× 9 0.8× 8 565
Elizabeth N. Cassano United States 14 485 1.5× 362 1.2× 44 2.0× 32 1.7× 20 1.8× 19 522
Patricia DeRepentigny United States 10 295 0.9× 195 0.6× 43 2.0× 34 1.8× 6 0.5× 18 338
Caixin Wang Norway 9 377 1.1× 168 0.6× 41 1.9× 24 1.3× 8 0.7× 15 414
Natasa Skific United States 9 350 1.1× 345 1.1× 40 1.8× 9 0.5× 11 1.0× 13 432
Panxi Dai China 10 197 0.6× 211 0.7× 53 2.4× 10 0.5× 10 0.9× 21 254
Xiuping Yao China 12 283 0.9× 266 0.9× 31 1.4× 5 0.3× 20 1.8× 51 326

Countries citing papers authored by Sergio A. Sejas

Since Specialization
Citations

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

Fields of papers citing papers by Sergio A. Sejas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio A. Sejas. 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 Sergio A. Sejas. The network helps show where Sergio A. Sejas may publish in the future.

Co-authorship network of co-authors of Sergio A. Sejas

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio A. Sejas. A scholar is included among the top collaborators of Sergio A. Sejas 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 Sergio A. Sejas. Sergio A. Sejas 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.
Liang, Lusheng, Wenying Su, Sergio A. Sejas, Zachary A. Eitzen, & Norman G. Loeb. (2024). Next-generation radiance unfiltering process for the Clouds and the Earth's Radiant Energy System instrument. Atmospheric measurement techniques. 17(7). 2147–2163. 2 indexed citations
2.
Sejas, Sergio A. & Patrick C. Taylor. (2023). The role of sea ice in establishing the seasonal Arctic warming pattern. SHILAP Revista de lepidopterología. 2(3). 35008–35008. 7 indexed citations
3.
Taylor, Patrick C., et al.. (2022). A Comparison of Top‐Of‐Atmosphere Radiative Fluxes From CERES and ARISE. Journal of Geophysical Research Atmospheres. 127(24).
4.
Taylor, Patrick C., Robyn C. Boeke, Linette Boisvert, et al.. (2022). Process Drivers, Inter-Model Spread, and the Path Forward: A Review of Amplified Arctic Warming. Frontiers in Earth Science. 9. 90 indexed citations
5.
Taylor, Patrick, Robyn C. Boeke, Linette Boisvert, et al.. (2021). Process drivers, inter-model spread, and the path forward: A review of amplified Arctic warming. 3 indexed citations
6.
Sejas, Sergio A., et al.. (2021). Understanding the Differences Between TOA and Surface Energy Budget Attributions of Surface Warming. Frontiers in Earth Science. 9. 5 indexed citations
7.
Hu, Xiaoming, et al.. (2020). A less cloudy picture of the inter-model spread in future global warming projections. Nature Communications. 11(1). 4472–4472. 33 indexed citations
8.
Boeke, Robyn C., Patrick C. Taylor, & Sergio A. Sejas. (2020). On the Nature of the Arctic's Positive Lapse‐Rate Feedback. Geophysical Research Letters. 48(1). 58 indexed citations
9.
Hu, Xiaoming, Sergio A. Sejas, Ming Cai, Zhenning Li, & Song Yang. (2019). Atmospheric Dynamics Footprint on the January 2016 Ice Sheet Melting in West Antarctica. Geophysical Research Letters. 46(5). 2829–2835. 12 indexed citations
10.
Hu, Xiaoming, Sergio A. Sejas, Ming Cai, et al.. (2018). Decadal evolution of the surface energy budget during the fast warming and global warming hiatus periods in the ERA-interim. Climate Dynamics. 52(3-4). 2005–2016. 15 indexed citations
11.
Sejas, Sergio A., Patrick C. Taylor, & Ming Cai. (2018). Unmasking the negative greenhouse effect over the Antarctic Plateau. npj Climate and Atmospheric Science. 1(1). 17–17. 11 indexed citations
12.
Sejas, Sergio A., et al.. (2018). 大气温度反馈的机理及其对全球增暖的贡献. SCIENTIA SINICA Terrae. 49(2). 468–486. 2 indexed citations
13.
Hu, Xiaoming, Ming Cai, Song Yang, & Sergio A. Sejas. (2018). Air temperature feedback and its contribution to global warming. Science China Earth Sciences. 61(10). 1491–1509. 28 indexed citations
14.
Hu, Xiaoming, Patrick C. Taylor, Ming Cai, et al.. (2017). Inter-Model Warming Projection Spread: Inherited Traits from Control Climate Diversity. Scientific Reports. 7(1). 4300–4300. 22 indexed citations
15.
Sejas, Sergio A. & Ming Cai. (2016). Isolating the Temperature Feedback Loop and Its Effects on Surface Temperature. Journal of the Atmospheric Sciences. 73(8). 3287–3303. 21 indexed citations
16.
Sejas, Sergio A., Ming Cai, Guosheng Liu, Patrick C. Taylor, & Ka Kit Tung. (2016). A Lagrangian view of longwave radiative fluxes for understanding the direct heating response to a CO2 increase. Journal of Geophysical Research Atmospheres. 121(11). 6191–6214. 7 indexed citations
17.
Sejas, Sergio A., Ming Cai, Aixue Hu, et al.. (2014). Individual Feedback Contributions to the Seasonality of Surface Warming. Journal of Climate. 27(14). 5653–5669. 52 indexed citations
18.
Sejas, Sergio A.. (2014). Understanding climate feedback contributions to the surface temperature response. 1 indexed citations
19.
Sejas, Sergio A., et al.. (2014). Feedback attribution of the land-sea warming contrast in a global warming simulation of the NCAR CCSM4. Environmental Research Letters. 9(12). 124005–124005. 19 indexed citations
20.
Sejas, Sergio A.. (2011). Attributing Contributions to the Seasonal Cycle of Anthropogenic Warming in a Simple Radiative- Convective Global Energy Balance Model. 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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