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.
ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES
20021.7k citationsMichael Ghil, Kayo Ide et al.profile →
Singular-spectrum analysis: A toolkit for short, noisy chaotic signals
Unified Notation for Data Assimilation : Operational, Sequential and Variational (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)
1997658 citationsKayo Ide, Philippe Courtier et al.Journal of the Meteorological Society of Japan Ser IIprofile →
This map shows the geographic impact of Michael Ghil'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 Michael Ghil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ghil more than expected).
This network shows the impact of papers produced by Michael Ghil. 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 Michael Ghil. The network helps show where Michael Ghil may publish in the future.
Co-authorship network of co-authors of Michael Ghil
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ghil.
A scholar is included among the top collaborators of Michael Ghil 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 Michael Ghil. Michael Ghil is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Groth, Andreas & Michael Ghil. (2017). Synchronization of world economic activity. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(12). 127002–127002.17 indexed citations
Robertson, Andrew W., Vincent Moron, Jian‐Hua Qian, & Michael Ghil. (2014). Weather types across the Maritime Continent: From the diurnal cycle to interannual variations. AGU Fall Meeting Abstracts. 2014.1 indexed citations
11.
Ghil, Michael. (2012). The Complex Physics of Climate Change and Climate Sensitivity: A Grand Unification (Alfred Wegener Medal Lecture). EGU General Assembly Conference Abstracts. 14438.1 indexed citations
Vivaldo, Gianna, et al.. (2010). Economic cycles and their synchronization: Spectral analysis of macroeconomic series from Italy, The Netherlands, and the UK. EGUGA. 11847.2 indexed citations
15.
Deremble, Bruno, Fabio D’Andrea, & Michael Ghil. (2009). Fixed points, stable manifolds, weather regimes and their predictability. HAL (Le Centre pour la Communication Scientifique Directe). 5603.1 indexed citations
Ide, Kayo, Philippe Courtier, Michael Ghil, & Andrew C. Lorenc. (1997). Unified Notation for Data Assimilation : Operational, Sequential and Variational (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice). Journal of the Meteorological Society of Japan Ser II. 75(1B). 181–189.658 indexed citations breakdown →
Ghil, Michael. (1997). Advances in Sequential Estimation for Atmospheric and Oceanic Flows. Journal of the Meteorological Society of Japan Ser II. 75.25 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.