Taylor Winchell

565 total citations · 1 hit paper
6 papers, 402 citations indexed

About

Taylor Winchell is a scholar working on Atmospheric Science, Global and Planetary Change and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Taylor Winchell has authored 6 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Atmospheric Science, 4 papers in Global and Planetary Change and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Taylor Winchell's work include Cryospheric studies and observations (4 papers), Climate variability and models (3 papers) and Meteorological Phenomena and Simulations (2 papers). Taylor Winchell is often cited by papers focused on Cryospheric studies and observations (4 papers), Climate variability and models (3 papers) and Meteorological Phenomena and Simulations (2 papers). Taylor Winchell collaborates with scholars based in United States and Nepal. Taylor Winchell's co-authors include N. P. Molotch, Keith S. Jennings, Ben Livneh, Russell K. Monson, Sean P. Burns, David M. Barnard, A. A. Harpold, R. Schumer, S. Rajagopal and L. Ruby Leung and has published in prestigious journals such as Nature Communications, Geophysical Research Letters and JAWRA Journal of the American Water Resources Association.

In The Last Decade

Taylor Winchell

5 papers receiving 400 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.

Spatial variation of the rain–snow temperature threshold across the Northern Hemisphere

2018 292 citations Keith S. Jennings, Taylor Winchell et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taylor Winchell United States	3	340	224	147	30	25	6	402
F. Navarro‐Serrano Spain	13	268 0.8×	211 0.9×	85 0.6×	31 1.0×	34 1.4×	17	358
Nicholas E. Wayand United States	10	306 0.9×	157 0.7×	116 0.8×	53 1.8×	20 0.8×	10	338
R. Bordoy Switzerland	8	251 0.7×	219 1.0×	247 1.7×	17 0.6×	22 0.9×	9	393
S. Pohl Germany	10	409 1.2×	130 0.6×	154 1.0×	50 1.7×	43 1.7×	16	468
Sebastian A. Krogh United States	11	302 0.9×	176 0.8×	185 1.3×	36 1.2×	31 1.2×	21	403
Katrin Schneider Germany	8	175 0.5×	137 0.6×	128 0.9×	22 0.7×	64 2.6×	11	285
Nicholas Dawson United States	10	391 1.1×	263 1.2×	162 1.1×	27 0.9×	36 1.4×	15	454
Thomas W. Estilow United States	6	468 1.4×	257 1.1×	71 0.5×	16 0.5×	25 1.0×	11	533
D. Bewley Canada	6	348 1.0×	142 0.6×	108 0.7×	46 1.5×	29 1.2×	7	402
Masaya Nosaka Japan	12	298 0.9×	303 1.4×	37 0.3×	11 0.4×	16 0.6×	26	365

Countries citing papers authored by Taylor Winchell

Since Specialization

Citations

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

Fields of papers citing papers by Taylor Winchell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taylor Winchell

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

All Works

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6 of 6 papers shown

1.

Pokharel, Binod, Kripa Jagannathan, Shih‐Yu Wang, et al.. (2024). Can we rely on drought‐ending “miracles” in the Colorado River Basin?. JAWRA Journal of the American Water Resources Association. 60(3). 813–824.

2.

Jennings, Keith S., Taylor Winchell, Ben Livneh, & N. P. Molotch. (2018). Spatial variation of the rain–snow temperature threshold across the Northern Hemisphere. Nature Communications. 9(1). 1148–1148. 292 indexed citations breakdown →

3.

Harpold, A. A., et al.. (2017). Relative Humidity Has Uneven Effects on Shifts From Snow to Rain Over the Western U.S.. Geophysical Research Letters. 44(19). 9742–9750. 49 indexed citations

4.

Winchell, Taylor. (2016). Changing Snowpack Dynamics: Phase Predictions and Forest Implications. CU Scholar (University of Colorado Boulder). 1 indexed citations

5.

Winchell, Taylor, David M. Barnard, Russell K. Monson, Sean P. Burns, & N. P. Molotch. (2016). Earlier snowmelt reduces atmospheric carbon uptake in midlatitude subalpine forests. Geophysical Research Letters. 43(15). 8160–8168. 59 indexed citations

6.

Winchell, Taylor, N. P. Molotch, & David M. Barnard. (2015). Early snowmelt decreases ablation period carbon uptake in a high elevation, subalpine forest, Niwot Ridge, Colorado, USA. 2015. 1 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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