Ami Arthur

1.8k total citations · 1 hit paper
13 papers, 1.3k citations indexed

About

Ami Arthur is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Ami Arthur has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 9 papers in Atmospheric Science and 4 papers in Water Science and Technology. Recurrent topics in Ami Arthur's work include Meteorological Phenomena and Simulations (7 papers), Precipitation Measurement and Analysis (5 papers) and Flood Risk Assessment and Management (5 papers). Ami Arthur is often cited by papers focused on Meteorological Phenomena and Simulations (7 papers), Precipitation Measurement and Analysis (5 papers) and Flood Risk Assessment and Management (5 papers). Ami Arthur collaborates with scholars based in United States and France. Ami Arthur's co-authors include Carrie Langston, Kenneth W. Howard, Brian Kaney, David Kitzmiller, Jian Zhang, Steven M. Martinaitis, Jonathan J. Gourley, Pierre‐Emmanuel Kirstetter, Yang Hong and Heather M. Grams and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Bulletin of the American Meteorological Society.

In The Last Decade

Ami Arthur

13 papers receiving 1.3k citations

Hit Papers

Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitatio... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ami Arthur United States 10 1.1k 890 327 304 32 13 1.3k
Koyuru Iwanami Japan 14 1.5k 1.4× 824 0.9× 497 1.5× 170 0.6× 78 2.4× 64 1.6k
C. G. Collier United Kingdom 18 1.0k 1.0× 889 1.0× 381 1.2× 368 1.2× 35 1.1× 50 1.4k
Brian Kaney United States 13 1.1k 1.1× 707 0.8× 354 1.1× 148 0.5× 35 1.1× 16 1.3k
David Kitzmiller United States 12 1.2k 1.1× 786 0.9× 375 1.1× 238 0.8× 33 1.0× 41 1.3k
Erwan Brisson Germany 14 1.3k 1.2× 1.4k 1.6× 185 0.6× 183 0.6× 51 1.6× 33 1.7k
Steven M. Martinaitis United States 11 732 0.7× 575 0.6× 208 0.6× 184 0.6× 18 0.6× 18 881
Alexandros A. Ntelekos United States 14 424 0.4× 725 0.8× 196 0.6× 309 1.0× 10 0.3× 16 872
F. Policelli United States 13 463 0.4× 686 0.8× 180 0.6× 423 1.4× 77 2.4× 33 962
Giorgia Fosser Italy 16 1.7k 1.6× 1.9k 2.2× 125 0.4× 267 0.9× 72 2.3× 29 2.1k
Li-Pen Wang United Kingdom 13 574 0.5× 634 0.7× 225 0.7× 314 1.0× 10 0.3× 31 848

Countries citing papers authored by Ami Arthur

Since Specialization
Citations

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

Fields of papers citing papers by Ami Arthur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ami Arthur

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

All Works

13 of 13 papers shown
1.
Gourley, Jonathan J., Humberto Vergara, Ami Arthur, et al.. (2020). Predicting the Floods that Follow the Flames. Bulletin of the American Meteorological Society. 101(7). E1101–E1106. 5 indexed citations
2.
Martinaitis, Steven M., Jian Zhang, Kenneth W. Howard, et al.. (2020). A Physically Based Multisensor Quantitative Precipitation Estimation Approach for Gap-Filling Radar Coverage. Journal of Hydrometeorology. 21(7). 1485–1511. 16 indexed citations
3.
Tang, Lin, Jian Zhang, Ami Arthur, et al.. (2020). Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System. Journal of Atmospheric and Oceanic Technology. 37(9). 1521–1537. 14 indexed citations
4.
Terti, Galateia, Isabelle Ruin, Jonathan J. Gourley, et al.. (2017). Toward Probabilistic Prediction of Flash Flood Human Impacts. Risk Analysis. 39(1). 140–161. 51 indexed citations
5.
Martinaitis, Steven M., Jonathan J. Gourley, Zachary L. Flamig, et al.. (2016). The HMT Multi-Radar Multi-Sensor Hydro Experiment. Bulletin of the American Meteorological Society. 98(2). 347–359. 22 indexed citations
6.
Gourley, Jonathan J., Zachary L. Flamig, Humberto Vergara, et al.. (2016). The FLASH Project: Improving the Tools for Flash Flood Monitoring and Prediction across the United States. Bulletin of the American Meteorological Society. 98(2). 361–372. 143 indexed citations
7.
Vergara, Humberto, Pierre‐Emmanuel Kirstetter, Jonathan J. Gourley, et al.. (2016). Estimating a-priori kinematic wave model parameters based on regionalization for flash flood forecasting in the Conterminous United States. Journal of Hydrology. 541. 421–433. 44 indexed citations
8.
Kirstetter, Pierre‐Emmanuel, Jonathan J. Gourley, Yang Hong, et al.. (2015). Probabilistic precipitation rate estimates with ground‐based radar networks. Water Resources Research. 51(3). 1422–1442. 84 indexed citations
9.
Zhang, Jian, Kenneth W. Howard, Carrie Langston, et al.. (2015). Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities. Bulletin of the American Meteorological Society. 97(4). 621–638. 482 indexed citations breakdown →
10.
Gourley, Jonathan J., Yang Hong, Zachary L. Flamig, et al.. (2013). A Unified Flash Flood Database over the US. Bulletin of the American Meteorological Society. 469283091–469283091. 3 indexed citations
11.
Gourley, Jonathan J., Yang Hong, Zachary L. Flamig, et al.. (2013). A Unified Flash Flood Database across the United States. Bulletin of the American Meteorological Society. 94(6). 799–805. 96 indexed citations
12.
Zhang, Jian, Kenneth W. Howard, Carrie Langston, et al.. (2011). National Mosaic and Multi-sensor QPE (NMQ) System – Description, Results and Future Plans. Bulletin of the American Meteorological Society. 1847852169–1847852169. 5 indexed citations
13.
Zhang, Jian, Kenneth W. Howard, Carrie Langston, et al.. (2011). National Mosaic and Multi-Sensor QPE (NMQ) System: Description, Results, and Future Plans. Bulletin of the American Meteorological Society. 92(10). 1321–1338. 376 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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