Leonid M. Ivanov

728 total citations
45 papers, 511 citations indexed

About

Leonid M. Ivanov is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Leonid M. Ivanov has authored 45 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oceanography, 22 papers in Atmospheric Science and 21 papers in Global and Planetary Change. Recurrent topics in Leonid M. Ivanov's work include Oceanographic and Atmospheric Processes (31 papers), Climate variability and models (17 papers) and Meteorological Phenomena and Simulations (12 papers). Leonid M. Ivanov is often cited by papers focused on Oceanographic and Atmospheric Processes (31 papers), Climate variability and models (17 papers) and Meteorological Phenomena and Simulations (12 papers). Leonid M. Ivanov collaborates with scholars based in United States, Ukraine and United Kingdom. Leonid M. Ivanov's co-authors include Tetyana Margolina, Peter C. Chu, Oleg Melnichenko, Curtis A. Collins, A. D. Kirwan, В. Н. Еремеев, Thomas A. Rago, Neil C. Wells, Newell Garfield and Lakshmi Kantha and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

Leonid M. Ivanov

44 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonid M. Ivanov United States 14 407 256 243 26 23 45 511
Manfred Wenzel Germany 12 542 1.3× 232 0.9× 406 1.7× 30 1.2× 37 1.6× 35 702
Michael K. Davey United Kingdom 13 483 1.2× 521 2.0× 606 2.5× 29 1.1× 16 0.7× 24 731
Yizhak Feliks Israel 14 440 1.1× 468 1.8× 533 2.2× 16 0.6× 17 0.7× 35 731
Pierre De Mey France 16 737 1.8× 370 1.4× 506 2.1× 21 0.8× 14 0.6× 27 782
Gilles Larnicol France 11 827 2.0× 277 1.1× 460 1.9× 20 0.8× 30 1.3× 19 888
Lesley C. Allison United Kingdom 11 281 0.7× 319 1.2× 407 1.7× 21 0.8× 16 0.7× 13 564
J. Pugh United Kingdom 5 478 1.2× 178 0.7× 225 0.9× 81 3.1× 46 2.0× 10 574
Stephen E. Pazan United States 14 603 1.5× 359 1.4× 554 2.3× 18 0.7× 16 0.7× 18 711
Oleg Melnichenko United States 18 972 2.4× 533 2.1× 573 2.4× 28 1.1× 51 2.2× 40 1.1k
Joseph Gonella France 6 465 1.1× 264 1.0× 145 0.6× 63 2.4× 27 1.2× 9 552

Countries citing papers authored by Leonid M. Ivanov

Since Specialization
Citations

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

Fields of papers citing papers by Leonid M. Ivanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonid M. Ivanov. 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 Leonid M. Ivanov. The network helps show where Leonid M. Ivanov may publish in the future.

Co-authorship network of co-authors of Leonid M. Ivanov

This figure shows the co-authorship network connecting the top 25 collaborators of Leonid M. Ivanov. A scholar is included among the top collaborators of Leonid M. Ivanov 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 Leonid M. Ivanov. Leonid M. Ivanov 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.
Chu, Peter C., et al.. (2018). Spatial and temporal variability of the California Current identified from the synoptic monthly gridded World Ocean Database (WOD). Deep Sea Research Part II Topical Studies in Oceanography. 151. 37–48. 1 indexed citations
2.
Ivanov, Leonid M., Curtis A. Collins, & Tetyana Margolina. (2013). Jets, Rossby Waves and Eddies off California. 710. 182.
3.
Collins, Curtis A., Tetyana Margolina, Thomas A. Rago, & Leonid M. Ivanov. (2012). Looping RAFOS floats in the California Current System. Deep Sea Research Part II Topical Studies in Oceanography. 85. 42–61. 42 indexed citations
4.
Ivanov, Leonid M., Oleg Melnichenko, Peter C. Chu, & Rongfeng Li. (2008). Argo Floats Revealing Bimodality of Large-Scale Mid-Depth Circulation in the North Atlantic. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 3 indexed citations
5.
Ivanov, Leonid M., et al.. (2007). Wind induced oscillator dynamics in the Black Sea revealed by Lagrangian drifters. Geophysical Research Letters. 34(13). 4 indexed citations
6.
Novak, R. E., et al.. (2005). Mapping of D/H and Ozone in the Martian Atmosphere near Perihelion. DPS. 9 indexed citations
7.
Ivanov, Leonid M., et al.. (2005). Statistical characteristics of irreversible predictability time in regional ocean models. Nonlinear processes in geophysics. 12(1). 129–138. 6 indexed citations
8.
Chu, Peter C., Leonid M. Ivanov, & Tetyana Margolina. (2005). Seasonal variability of the Black Sea chlorophyll-a concentration. Journal of Marine Systems. 56(3-4). 243–261. 28 indexed citations
9.
Ivanov, Leonid M. & Oleg Melnichenko. (2005). Determination of Mesoscale Surface Currents in Shallow-Water Regions According to the Data of High-Frequency Radar Measurements. Physical Oceanography. 15(2). 92–104. 2 indexed citations
10.
Chu, Peter C., et al.. (2004). Lagrangian predictability of high-resolution regional models: the special case of the Gulf of Mexico. Nonlinear processes in geophysics. 11(1). 47–66. 5 indexed citations
11.
Margolina, Tetyana, et al.. (2004). Lagrangian predictabilty of high-resolution regional ocean models. 2 indexed citations
12.
Chu, Peter C., et al.. (2003). Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part II: Applications to Eulerian and Lagrangian Data. Journal of Atmospheric and Oceanic Technology. 20(4). 492–512. 34 indexed citations
13.
Collins, Curtis A., Leonid M. Ivanov, & Oleg Melnichenko. (2003). . Physical Oceanography. 13(3). 135–147. 9 indexed citations
14.
Chu, Peter C., et al.. (2003). Analysis of Sparse and Noisy Ocean Current Data Using Flow Decomposition. Part I: Theory. Journal of Atmospheric and Oceanic Technology. 20(4). 478–491. 34 indexed citations
15.
Ivanov, Leonid M. & Peter C. Chu. (2002). Linear and nonlinear perspectives of forecast error estimate using the first passage time. Breast Cancer Research and Treatment. 116(3). 501–8. 2 indexed citations
16.
Chu, Peter C., Leonid M. Ivanov, & Chenwu Fan. (2002). Backward Fokker‐Planck equation for determining model valid prediction period. Journal of Geophysical Research Atmospheres. 107(C6). 8 indexed citations
17.
Chu, Peter C., et al.. (2002). Power law decay in model predictability skill. Geophysical Research Letters. 29(15). 14 indexed citations
18.
Ivanov, Leonid M., A. D. Kirwan, & Tetyana Margolina. (2001). Filtering noise from oceanographic data with some applications for the Kara and Black Seas. Journal of Marine Systems. 28(1-2). 113–139. 9 indexed citations
19.
Ivanov, Leonid M., et al.. (1994). Prediction of the stochastic behaviour of nonlinear systems by deterministic models as a classical time-passage probabilistic problem. Nonlinear processes in geophysics. 1(4). 224–233. 12 indexed citations
20.
Еремеев, В. Н., et al.. (1992). Seasonal variability and the types of currents in the upper layer of the Black Sea. Physical Oceanography. 3(3). 193–208. 11 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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