Arthur J. Mariano

4.1k total citations
68 papers, 3.1k citations indexed

About

Arthur J. Mariano is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Arthur J. Mariano has authored 68 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Oceanography, 32 papers in Atmospheric Science and 32 papers in Global and Planetary Change. Recurrent topics in Arthur J. Mariano's work include Oceanographic and Atmospheric Processes (48 papers), Climate variability and models (25 papers) and Meteorological Phenomena and Simulations (17 papers). Arthur J. Mariano is often cited by papers focused on Oceanographic and Atmospheric Processes (48 papers), Climate variability and models (25 papers) and Meteorological Phenomena and Simulations (17 papers). Arthur J. Mariano collaborates with scholars based in United States, Italy and Israel. Arthur J. Mariano's co-authors include Annalisa Griffa, Lynn K. Shay, Edward H. Ryan, Peter G. Black, Tamay M. Özgökmen, S. Daniel Jacob, Gary L. Hitchcock, Lucas C. Laurindo, Leonid I. Piterbarg and Rick Lumpkin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.

In The Last Decade

Arthur J. Mariano

66 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur J. Mariano United States 30 2.4k 1.5k 1.5k 291 217 68 3.1k
Annalisa Griffa Italy 34 2.3k 1.0× 1.3k 0.8× 1.2k 0.8× 197 0.7× 227 1.0× 89 3.0k
Annalisa Bracco United States 34 2.5k 1.0× 2.1k 1.4× 2.5k 1.7× 422 1.5× 248 1.1× 118 4.0k
George R. Halliwell United States 30 3.2k 1.3× 1.9k 1.2× 1.9k 1.3× 339 1.2× 232 1.1× 55 3.8k
Gustavo Goñi United States 33 3.2k 1.3× 2.3k 1.5× 2.4k 1.6× 338 1.2× 59 0.3× 110 4.0k
Pierre‐Marie Poulain Italy 42 4.4k 1.8× 1.9k 1.3× 2.0k 1.3× 508 1.7× 282 1.3× 153 5.2k
Enrico Zambianchi Italy 29 1.5k 0.6× 685 0.4× 667 0.4× 428 1.5× 221 1.0× 97 2.3k
Rainer Bleck United States 31 3.8k 1.6× 3.5k 2.3× 3.6k 2.4× 350 1.2× 165 0.8× 76 5.9k
Paola Malanotte‐Rizzoli United States 36 3.9k 1.6× 1.9k 1.2× 2.2k 1.5× 520 1.8× 85 0.4× 131 4.5k
M. J. Olascoaga United States 25 1.3k 0.5× 761 0.5× 605 0.4× 231 0.8× 205 0.9× 63 1.9k
Jeffrey D. Paduan United States 30 2.5k 1.0× 1.1k 0.7× 666 0.4× 204 0.7× 51 0.2× 78 2.8k

Countries citing papers authored by Arthur J. Mariano

Since Specialization
Citations

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

Fields of papers citing papers by Arthur J. Mariano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur J. Mariano

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

All Works

20 of 20 papers shown
1.
Mariano, Arthur J., et al.. (2019). Lagrangian simulation of oil trajectories in the Florida Straits. Marine Pollution Bulletin. 140. 204–218. 15 indexed citations
2.
Kamenkovich, Igor, et al.. (2018). Zonally Elongated Transient Flows: Phenomenology and Sensitivity Analysis. Journal of Geophysical Research Oceans. 123(6). 3982–4002. 6 indexed citations
3.
Mariano, Arthur J., et al.. (2017). A Principal Component Analysis of Vertical Temperature Profiles for Tracking Movements of Large Pelagic Fishes. NSUWorks (Nova Southeastern University). 5(1). 33–33. 2 indexed citations
4.
Laurindo, Lucas C., Arthur J. Mariano, & Rick Lumpkin. (2017). An improved near-surface velocity climatology for the global ocean from drifter observations. Deep Sea Research Part I Oceanographic Research Papers. 124. 73–92. 137 indexed citations
5.
Venkataramani, Shankar C., et al.. (2016). Displacement data assimilation. Journal of Computational Physics. 330. 594–614. 8 indexed citations
6.
Srinivasan, Ashwanth, Eric P. Chassignet, Laurent Bertino, et al.. (2011). A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances. Ocean Modelling. 37(3-4). 85–111. 26 indexed citations
7.
Paldor, Nathan, Shira Raveh‐Rubin, & Arthur J. Mariano. (2007). A Consistent Theory for Linear Waves of the Shallow-Water Equations on a Rotating Plane in Midlatitudes. Journal of Physical Oceanography. 37(1). 115–128. 28 indexed citations
8.
Chin, T. M., Tamay M. Özgökmen, & Arthur J. Mariano. (2007). Empirical and stochastic formulations of western boundary conditions. Ocean Modelling. 17(3). 219–238.
9.
Paldor, Nathan, et al.. (2004). A Practical, Hybrid Model for Predicting the Trajectories of Near-Surface Ocean Drifters. Journal of Atmospheric and Oceanic Technology. 21(8). 1246–1258. 9 indexed citations
10.
Glover, David M., et al.. (2002). Mesoscale variability in time series data: Satellite‐based estimates for the U.S. JGOFS Bermuda Atlantic Time‐Series Study (BATS) site. Journal of Geophysical Research Atmospheres. 107(C8). 16 indexed citations
11.
Mariano, Arthur J., Annalisa Griffa, & Enrico Zambianchi. (2002). NOTES AND CORRESPONDENCE Lagrangian Analysis and Predictability of Coastal and Ocean Dynamics 2000. 1 indexed citations
12.
13.
Yang, Qing, Bahram Parvin, & Arthur J. Mariano. (2002). Singular features in sea surface temperature data. 1. 516–520. 6 indexed citations
14.
Garraffo, Z. D., Arthur J. Mariano, Annalisa Griffa, Milena Veneziani, & Eric P. Chassignet. (2001). Lagrangian data in a high-resolution numerical simulation of the North Atlantic. Journal of Marine Systems. 29(1-4). 157–176. 95 indexed citations
15.
Özgökmen, Tamay M., Annalisa Griffa, Arthur J. Mariano, & Leonid I. Piterbarg. (2000). On the Predictability of Lagrangian Trajectories in the Ocean. Journal of Atmospheric and Oceanic Technology. 17(3). 366–383. 75 indexed citations
16.
Mariano, Arthur J., Gary L. Hitchcock, Carin J. Ashjian, et al.. (1996). Principal component analysis of biological and physical variability in a Gulf Stream meander crest. Deep Sea Research Part I Oceanographic Research Papers. 43(9). 1531–1565. 16 indexed citations
17.
Mariano, Arthur J., et al.. (1995). The Mariano Global Surface Velocity Analysis 1.0.. 45 indexed citations
18.
Olson, Donald B., Gary L. Hitchcock, Arthur J. Mariano, et al.. (1994). Life on the Edge: Marine Life and Fronts. Oceanography. 7(2). 52–60. 228 indexed citations
19.
Chin, Toshio M., W.C. Karl, Arthur J. Mariano, & Alan S. Willsky. (1993). Square-root filtering in time-sequential estimation of random fields. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1903. 51–51. 3 indexed citations
20.
Mariano, Arthur J. & T. Rossby. (1989). The Lagrangian Potential Vorticity Balance during POLYMODE. Journal of Physical Oceanography. 19(7). 927–939. 4 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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