Timothy L. Olander

2.3k total citations · 1 hit paper
15 papers, 1.6k citations indexed

About

Timothy L. Olander is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Timothy L. Olander has authored 15 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, 12 papers in Oceanography and 8 papers in Global and Planetary Change. Recurrent topics in Timothy L. Olander's work include Tropical and Extratropical Cyclones Research (14 papers), Ocean Waves and Remote Sensing (12 papers) and Climate variability and models (8 papers). Timothy L. Olander is often cited by papers focused on Tropical and Extratropical Cyclones Research (14 papers), Ocean Waves and Remote Sensing (12 papers) and Climate variability and models (8 papers). Timothy L. Olander collaborates with scholars based in United States, Australia and France. Timothy L. Olander's co-authors include Christopher S. Velden, James P. Kossin, Kenneth R. Knapp, Raymond M. Zehr, Andrew Burton, Roger T. Edson, John L. Beven, Max Mayfield, Philippe Caroff and Mark A. Lander and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Climate.

In The Last Decade

Timothy L. Olander

15 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.

Global increase in major tropical cyclone exceedance probability over the past four decades

2020 346 citations James P. Kossin, Kenneth R. Knapp et al. Proceedings of the National Academy of Sciences profile →

Peers

Timothy L. Olander

GPC

OCEAN

SPS

ECOLO

Max Mayfield United States

Elizabeth A. Ritchie United States

F. Fetterer United States

Fanny Girard‐Ardhuin France

Michael C. Kruk United States

Mark A. Lander Guam

Yevgeny Aksenov United Kingdom

U. C. Mohanty India

Xin Qu United States

Allison A. Wing United States

Max Mayfield United States

Timothy L. Olander

1.1k ×0.7

839 ×0.8

GPC

501 ×0.6

OCEAN

92 ×1.1

SPS

73 ×0.9

ECOLO

Citations per year, relative to Timothy L. Olander Timothy L. Olander (= 1×) peers Max Mayfield

Countries citing papers authored by Timothy L. Olander

Since Specialization

Citations

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

Fields of papers citing papers by Timothy L. Olander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy L. Olander

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

All Works

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15 of 15 papers shown

Olander, Timothy L., Anthony Wimmers, Christopher S. Velden, & James P. Kossin. (2021). Investigation of Machine Learning Using Satellite-Based Advanced Dvorak Technique Analysis Parameters to Estimate Tropical Cyclone Intensity. Weather and Forecasting. 36(6). 2161–2186. 14 indexed citations

Lewis, William E., Timothy L. Olander, Christopher S. Velden, Christopher M. Rozoff, & Stefano Alessandrini. (2021). Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones. Atmosphere. 12(7). 830–830. 1 indexed citations

Kossin, James P., Kenneth R. Knapp, Timothy L. Olander, & Christopher S. Velden. (2020). Global increase in major tropical cyclone exceedance probability over the past four decades. Proceedings of the National Academy of Sciences. 117(22). 11975–11980. 346 indexed citations breakdown →

Burton, Andrew, et al.. (2020). Towards an objective historical tropical cyclone dataset for the Australian region. SHILAP Revista de lepidopterología. 9(1). 23–36. 5 indexed citations

Olander, Timothy L. & Christopher S. Velden. (2019). The Advanced Dvorak Technique (ADT) for Estimating Tropical Cyclone Intensity: Update and New Capabilities. Weather and Forecasting. 34(4). 905–922. 86 indexed citations

Velden, Christopher S., Timothy L. Olander, Derrick Herndon, & James P. Kossin. (2016). Reprocessing the Most Intense Historical Tropical Cyclones in the Satellite Era Using the Advanced Dvorak Technique. Monthly Weather Review. 145(3). 971–983. 25 indexed citations

Evans, Clark, et al.. (2015). An Evaluation of Advanced Dvorak Technique–Derived Tropical Cyclone Intensity Estimates during Extratropical Transition Using Synthetic Satellite Imagery. Weather and Forecasting. 30(4). 984–1009. 9 indexed citations

Kossin, James P., Timothy L. Olander, & Kenneth R. Knapp. (2013). Trend Analysis with a New Global Record of Tropical Cyclone Intensity. Journal of Climate. 26(24). 9960–9976. 218 indexed citations

Olander, Timothy L.. (2012). The current status of the UW-CIMSS Advanced Dvorak Technique (ADT). 7 indexed citations

10.

Olander, Timothy L. & Christopher S. Velden. (2009). Tropical Cyclone Convection and Intensity Analysis Using Differenced Infrared and Water Vapor Imagery. Weather and Forecasting. 24(6). 1558–1572. 42 indexed citations

11.

Olander, Timothy L. & Christopher S. Velden. (2007). The Advanced Dvorak Technique: Continued Development of an Objective Scheme to Estimate Tropical Cyclone Intensity Using Geostationary Infrared Satellite Imagery. Weather and Forecasting. 22(2). 287–298. 234 indexed citations

12.

Velden, Christopher S., Bruce Harper, John L. Beven, et al.. (2006). Supplement To: The Dvorak Tropical Cyclone Intensity Estimation Technique: A Satellite-Based Method that Has Endured for over 30 Years. Bulletin of the American Meteorological Society. 87(9). S6–S9. 32 indexed citations

13.

Velden, Christopher S., Bruce Harper, John L. Beven, et al.. (2006). The Dvorak Tropical Cyclone Intensity Estimation Technique: A Satellite-Based Method that Has Endured for over 30 Years. Bulletin of the American Meteorological Society. 87(9). 1195–1210. 315 indexed citations

14.

Velden, Christopher S., et al.. (1998). The Impact of MultispectralGOES-8Wind Information on Atlantic Tropical Cyclone Track Forecasts in 1995. Part I: Dataset Methodology, Description, and Case Analysis. Monthly Weather Review. 126(5). 1202–1218. 117 indexed citations

15.

Velden, Christopher S., Timothy L. Olander, & Raymond M. Zehr. (1998). Development of an Objective Scheme to Estimate Tropical Cyclone Intensity from Digital Geostationary Satellite Infrared Imagery. Weather and Forecasting. 13(1). 172–186. 158 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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