Mark DeMaria

11.5k total citations · 2 hit papers
129 papers, 9.4k citations indexed

About

Mark DeMaria is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Mark DeMaria has authored 129 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Atmospheric Science, 75 papers in Global and Planetary Change and 58 papers in Oceanography. Recurrent topics in Mark DeMaria's work include Tropical and Extratropical Cyclones Research (105 papers), Climate variability and models (66 papers) and Meteorological Phenomena and Simulations (66 papers). Mark DeMaria is often cited by papers focused on Tropical and Extratropical Cyclones Research (105 papers), Climate variability and models (66 papers) and Meteorological Phenomena and Simulations (66 papers). Mark DeMaria collaborates with scholars based in United States, Japan and China. Mark DeMaria's co-authors include John Kaplan, John A. Knaff, Charles R. Sampson, Lynn K. Shay, Michelle Mainelli, Julie L. Demuth, Kate D. Musgrave, Thomas H. Vonder Haar, James P. Kossin and Wayne H. Schubert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Mark DeMaria

123 papers receiving 9.1k 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.

Large-Scale Characteristics of Rapidly Intensifying Tropical Cyclones in the North Atlantic Basin

2003 697 citations John Kaplan, Mark DeMaria Weather and Forecasting profile →
Further Improvements to the Statistical Hurricane Intensity Prediction Scheme (SHIPS)

2005 552 citations Mark DeMaria, John A. Knaff et al. Weather and Forecasting profile →

Peers

Countries citing papers authored by Mark DeMaria

Since Specialization

Citations

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

Fields of papers citing papers by Mark DeMaria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark DeMaria

This figure shows the co-authorship network connecting the top 25 collaborators of Mark DeMaria. A scholar is included among the top collaborators of Mark DeMaria 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 Mark DeMaria. Mark DeMaria 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:

20 of 20 papers shown

#	Work	Indexed citations
1	Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning 2025 ·Environmental Research Letters ·(unknown), Hui Su, Longtao Wu, Pingping Rong, Karthik Balaguru, L. Ruby Leung, Yong‐Sang Choi, Pak Wai Chan, Jianping Gan, Mark DeMaria, Galina Chirokova	1
2	The Development and Evaluation of a Tropical Cyclone Probabilistic Landfall Forecast Product 2023 ·Weather and Forecasting ·(unknown), Kate D. Musgrave, Mark DeMaria, Brian C. Zachry, Michael J. Brennan, Edward N. Rappaport	2
3	Sinh-arcsinh-normal distributions to add uncertainty to neural network regression tasks: Applications to tropical cyclone intensity forecasts 2023 ·SHILAP Revista de lepidopterología ·Elizabeth A. Barnes, Randal J. Barnes, Mark DeMaria	3
4	The National Hurricane Center Tropical Cyclone Model Guidance Suite 2022 ·Weather and Forecasting ·Mark DeMaria, James L. Franklin, (unknown), (unknown), (unknown), John A. Knaff, Stephanie N. Stevenson, John Kaplan, Kate D. Musgrave, Galina Chirokova, Charles R. Sampson	8
5	Recent Progress in Tropical Cyclone Intensity Forecasting at the National Hurricane Center 2020 ·Weather and Forecasting ·John P. Cangialosi, Eric S. Blake, Mark DeMaria, (unknown), (unknown), Edward N. Rappaport, Vijay Tallapragada	163
6	Tropical Cyclone Intensity Prediction in the Western North Pacific Basin Using SHIPS and JMA/GSM 2018 ·SOLA ·Munehiko Yamaguchi, (unknown), (unknown), Masahiro Sawada, (unknown), Kate D. Musgrave, Mark DeMaria	21
7	Overview of the NASA TROPICS CubeSat Constellation Mission 2018 ·NASA STI Repository (National Aeronautics and Space Administration) ·Scott A. Braun, Christopher S. Velden, (unknown), Derrick Herndon, Ralf Bennartz, Mark DeMaria, Galina Chirokova, Robert Atlas, Jason Dunion, Frank D. Marks, Robert F. Rogers, (unknown), Bachir Annane, Bradley Zavodsky, William J. Blackwell	7
8	PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning 2018 ·Neural Computing and Applications ·Amina Asif, (unknown), (unknown), (unknown), Mark DeMaria, Fayyaz Minhas	28
9	Satellite tools to monitor and predict Hurricane Sandy (2012): Current and emerging products 2015 ·Atmospheric Research ·(unknown), Mark DeMaria, Ralph Ferraro, John L. Beven, Michael J. Brennan, Jaime Daniels, Robert J. Kuligowski, Huan Meng, Scott D. Rudlosky, Limin Zhao, John A. Knaff, (unknown), Steven D. Miller, Timothy J. Schmit, (unknown), (unknown)	5
10	Development of a hybrid variational-ensemble data assimilation technique for observed lightning tested in a mesoscale model 2014 ·Nonlinear processes in geophysics ·(unknown), Milija Županski, Mark DeMaria, John A. Knaff, Lewis D. Grasso	12
11	Is Tropical Cyclone Intensity Guidance Improving? 2013 ·Bulletin of the American Meteorological Society ·Mark DeMaria, Charles R. Sampson, John A. Knaff, Kate D. Musgrave	373
12	Improving Tropical Cyclone Rapid Intensity Change Forecasts 2012 ·Mark DeMaria	1
13	Assimilating synthetic GOES-R radiances in cloudy conditions using an ensemble-based method 2011 ·International Journal of Remote Sensing ·D. Zupanski, Milija Županski, Lewis D. Grasso, (unknown), Isidora Jankov, Daniel T. Lindsey, Manajit Sengupta, Mark DeMaria	23
14	Tropical cyclone intensity change predictability estimates using a statistical-dynamical model 2010 ·Mark DeMaria	9
15	MISST: The Multi-Sensor Improved Sea Surface Temperature Project 2009 ·SHILAP Revista de lepidopterología ·Charlie N. Barron, Lewis J. Gramer, James D. Doyle, (unknown), J. R. Cummings, Mark DeMaria, Joseph Sienkiewicz, Chelle Gentemann, Peter J. Minnett, Kenneth S. Casey, Craig Donlon	1
16	Tropical cyclone intensity forecasting using a satellite-based total precipitable water product 2008 ·Mark DeMaria, (unknown), Jason Dunion, Deborah K. Smith	1
17	Statistical Tropical Cyclone Wind Radii Prediction Using Climatology and Persistence 2007 ·Weather and Forecasting ·John A. Knaff, Charles R. Sampson, Mark DeMaria, Timothy Marchok, James M. Gross, Colin J. McAdie	146
18	Statistical tropical cyclone intensity forecast improvements using GOES and aircraft reconnaissance data 2006 ·Mark DeMaria	1
19	Inner divertor detailed design and manufacturing 2003 ·(unknown), Mark DeMaria, B. LaBombard, R. Granetz, (unknown), (unknown), (unknown)	0
20	NCEP NOTES Statistical, 5-Day Tropical Cyclone Intensity Forecasts Derived from Climatology and Persistence 2003 ·John A. Knaff, Mark DeMaria, Charles R. Sampson, James M. Gross	1

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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