Timothy E. LaRow

2.0k total citations · 2 hit papers
14 papers, 1.6k citations indexed

About

Timothy E. LaRow is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Timothy E. LaRow has authored 14 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 9 papers in Oceanography. Recurrent topics in Timothy E. LaRow's work include Climate variability and models (14 papers), Tropical and Extratropical Cyclones Research (12 papers) and Ocean Waves and Remote Sensing (8 papers). Timothy E. LaRow is often cited by papers focused on Climate variability and models (14 papers), Tropical and Extratropical Cyclones Research (12 papers) and Ocean Waves and Remote Sensing (8 papers). Timothy E. LaRow collaborates with scholars based in United States, Australia and India. Timothy E. LaRow's co-authors include David Bachiochi, C. M. Kishtawal, Sulochana Gadgil, Sajani Surendran, T. N. Krishnamurti, Zhan Zhang, T. N. Krishnamurti, Zhan Zhang, Ming Zhao and Hui Wang and has published in prestigious journals such as Science, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Timothy E. LaRow

14 papers receiving 1.5k 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.

Improved Weather and Seasonal Climate Forecasts from Multimodel Superensemble

1999 665 citations T. N. Krishnamurti, C. M. Kishtawal et al. Science profile →
Multimodel Ensemble Forecasts for Weather and Seasonal Climate

2000 517 citations T. N. Krishnamurti, C. M. Kishtawal et al. Journal of Climate profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy E. LaRow United States	12	1.3k	1.3k	364	193	165	14	1.6k
Sajani Surendran India	12	1.6k 1.2×	1.5k 1.2×	266 0.7×	222 1.2×	193 1.2×	27	1.9k
Čedo Branković United Kingdom	24	2.0k 1.5×	1.9k 1.5×	527 1.4×	133 0.7×	112 0.7×	47	2.2k
Mio Matsueda Japan	19	1.6k 1.2×	1.6k 1.2×	285 0.8×	89 0.5×	114 0.7×	45	1.8k
David Bachiochi United States	8	1.2k 0.9×	1.1k 0.9×	157 0.4×	196 1.0×	160 1.0×	9	1.4k
Saroj K. Mishra India	22	1.1k 0.9×	914 0.7×	194 0.5×	157 0.8×	136 0.8×	91	1.4k
Rajib Chattopadhyay India	25	1.7k 1.3×	1.5k 1.2×	425 1.2×	174 0.9×	108 0.7×	88	1.9k
Linus Magnusson United Kingdom	27	2.1k 1.6×	2.0k 1.6×	526 1.4×	205 1.1×	181 1.1×	82	2.6k
Jongil Han United States	19	1.3k 1.0×	1.4k 1.1×	172 0.5×	252 1.3×	123 0.7×	38	1.8k
Jinzhong Min China	25	1.7k 1.3×	1.9k 1.5×	224 0.6×	178 0.9×	100 0.6×	114	2.1k
J. Done United States	24	1.9k 1.4×	1.7k 1.4×	258 0.7×	204 1.1×	215 1.3×	79	2.3k

Countries citing papers authored by Timothy E. LaRow

Since Specialization

Citations

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

Fields of papers citing papers by Timothy E. LaRow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy E. LaRow. 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 Timothy E. LaRow. The network helps show where Timothy E. LaRow may publish in the future.

Co-authorship network of co-authors of Timothy E. LaRow

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

All Works

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14 of 14 papers shown

Nakamura, Jennifer, Suzana J. Camargo, Adam H. Sobel, et al.. (2017). Western North Pacific Tropical Cyclone Model Tracks in Present and Future Climates. Journal of Geophysical Research Atmospheres. 122(18). 9721–9744. 65 indexed citations

Wang, Hui, Zeng‐Zhen Hu, Arun Kumar, et al.. (2016). An Assessment of Multimodel Simulations for the Variability of Western North Pacific Tropical Cyclones and Its Association with ENSO. Journal of Climate. 29(18). 6401–6423. 30 indexed citations

Wang, Hui, Lindsey N. Long, Arun Kumar, et al.. (2014). How Well Do Global Climate Models Simulate the Variability of Atlantic Tropical Cyclones Associated with ENSO?. Journal of Climate. 27(15). 5673–5692. 45 indexed citations

LaRow, Timothy E., et al.. (2014). Dynamical Simulations of North Atlantic Tropical Cyclone Activity Using Observed Low-Frequency SST Oscillation Imposed on CMIP5 Model RCP4.5 SST Projections. Journal of Climate. 27(21). 8055–8069. 10 indexed citations

Shaevitz, Daniel A., Suzana J. Camargo, Adam H. Sobel, et al.. (2014). Characteristics of tropical cyclones in high‐resolution models in the present climate. Journal of Advances in Modeling Earth Systems. 6(4). 1154–1172. 109 indexed citations

Strazzo, Sarah, et al.. (2013). Observed versus GCM-Generated Local Tropical Cyclone Frequency: Comparisons Using a Spatial Lattice. Journal of Climate. 26(21). 8257–8268. 21 indexed citations

Elsner, James B., Sarah Strazzo, Thomas H. Jagger, Timothy E. LaRow, & Ming Zhao. (2013). Sensitivity of Limiting Hurricane Intensity to SST in the Atlantic from Observations and GCMs. Journal of Climate. 26(16). 5949–5957. 14 indexed citations

LaRow, Timothy E.. (2012). An analysis of tropical cyclones impacting the Southeast United States from a regional reanalysis. Regional Environmental Change. 13(S1). 35–43. 5 indexed citations

LaRow, Timothy E.. (2012). The Impact of SST Bias Correction on North Atlantic Hurricane Retrospective Forecasts. Monthly Weather Review. 141(2). 490–498. 12 indexed citations

10.

LaRow, Timothy E., Lydia Stefanova, D. W. Shin, & S. Cocke. (2010). Seasonal Atlantic tropical cyclone hindcasting/forecasting using two sea surface temperature datasets. Geophysical Research Letters. 37(2). 37 indexed citations

11.

Lim, Young‐Kwon, S. Cocke, D. W. Shin, et al.. (2009). Downscaling large-scale NCEP CFS to resolve fine-scale seasonal precipitation and extremes for the crop growing seasons over the southeastern United States. Climate Dynamics. 35(2-3). 449–471. 11 indexed citations

12.

Krishnamurti, T. N., David Bachiochi, Timothy E. LaRow, et al.. (2000). Coupled Atmosphere–Ocean Modeling of the El Niño of 1997–98. Journal of Climate. 13(14). 2428–2459. 25 indexed citations

13.

Krishnamurti, T. N., C. M. Kishtawal, Zhan Zhang, et al.. (2000). Multimodel Ensemble Forecasts for Weather and Seasonal Climate. Journal of Climate. 13(23). 4196–4216. 517 indexed citations breakdown →

14.

Krishnamurti, T. N., C. M. Kishtawal, Timothy E. LaRow, et al.. (1999). Improved Weather and Seasonal Climate Forecasts from Multimodel Superensemble. Science. 285(5433). 1548–1550. 665 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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