N. Tausnev

3.3k total citations · 1 hit paper
6 papers, 790 citations indexed

About

N. Tausnev is a scholar working on Global and Planetary Change, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, N. Tausnev has authored 6 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 4 papers in Atmospheric Science and 2 papers in Astronomy and Astrophysics. Recurrent topics in N. Tausnev's work include Climate variability and models (5 papers), Atmospheric Ozone and Climate (2 papers) and Geophysics and Gravity Measurements (1 paper). N. Tausnev is often cited by papers focused on Climate variability and models (5 papers), Atmospheric Ozone and Climate (2 papers) and Geophysics and Gravity Measurements (1 paper). N. Tausnev collaborates with scholars based in United States. N. Tausnev's co-authors include Larissa Nazarenko, Gavin A. Schmidt, Gary L. Russell, Anthony D. Del Genio, Reto Rüedy, Andrew A. Lacis, J. K. Willis, D. Koch, James E. Hansen and Makiko Sato and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Ocean Modelling.

In The Last Decade

N. Tausnev

6 papers receiving 728 citations

Hit Papers

align trajectories

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.

Earth's Energy Imbalance: Confirmation and Implications

2005 643 citations James E. Hansen, Larissa Nazarenko et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Tausnev United States	5	534	457	164	64	54	6	790
Ken K. Lo United States	3	496 0.9×	420 0.9×	144 0.9×	63 1.0×	57 1.1×	3	749
Kelly E. McCusker United States	14	798 1.5×	748 1.6×	110 0.7×	115 1.8×	25 0.5×	21	1.2k
Nathan Lenssen United States	6	503 0.9×	420 0.9×	90 0.5×	22 0.3×	34 0.6×	8	715
John Truesdale United States	15	911 1.7×	860 1.9×	230 1.4×	16 0.3×	54 1.0×	22	1.1k
Daniel M. Gilford United States	10	339 0.6×	435 1.0×	143 0.9×	31 0.5×	53 1.0×	18	688
Cristian Proistosescu United States	17	815 1.5×	775 1.7×	201 1.2×	21 0.3×	28 0.5×	32	1.0k
Philip Goodwin United Kingdom	21	616 1.2×	538 1.2×	304 1.9×	65 1.0×	132 2.4×	48	1.1k
Itsuki C. Handoh Japan	15	230 0.4×	227 0.5×	178 1.1×	21 0.3×	50 0.9×	23	599
Carley Iles United Kingdom	11	547 1.0×	491 1.1×	68 0.4×	14 0.2×	55 1.0×	14	782

Countries citing papers authored by N. Tausnev

Since Specialization

Citations

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

Fields of papers citing papers by N. Tausnev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Tausnev

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Nazarenko, Larissa, et al.. (2025). Temperature and Precipitation Extremes Under SSP Emission Scenarios with GISS-E2.1 Model. Atmosphere. 16(8). 920–920. 2 indexed citations

2.

Rind, David, Clara Orbe, J. Jonas, et al.. (2020). GISS Model E2.2: A Climate Model Optimized for the Middle Atmosphere—Model Structure, Climatology, Variability, and Climate Sensitivity. Journal of Geophysical Research Atmospheres. 125(10). 46 indexed citations

3.

Nazarenko, Larissa, David Rind, Kostas Tsigaridis, et al.. (2017). Interactive nature of climate change and aerosol forcing. Journal of Geophysical Research Atmospheres. 122(6). 3457–3480. 28 indexed citations

4.

Geller, Marvin A., Tiehan Zhou, Drew Shindell, et al.. (2016). Modeling the QBO—Improvements resulting from higher‐model vertical resolution. Journal of Advances in Modeling Earth Systems. 8(3). 1092–1105. 49 indexed citations

5.

Romanou, Anastasia, Watson W. Gregg, M. Kelley, et al.. (2013). Natural air–sea flux of CO2 in simulations of the NASA-GISS climate model: Sensitivity to the physical ocean model formulation. Ocean Modelling. 66. 26–44. 22 indexed citations

6.

Hansen, James E., Larissa Nazarenko, Reto Rüedy, et al.. (2005). Earth's Energy Imbalance: Confirmation and Implications. Science. 308(5727). 1431–1435. 643 indexed citations breakdown →

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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