Marisa Montoya

3.8k total citations · 1 hit paper
42 papers, 1.9k citations indexed

About

Marisa Montoya is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Marisa Montoya has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 14 papers in Oceanography and 14 papers in Global and Planetary Change. Recurrent topics in Marisa Montoya's work include Geology and Paleoclimatology Research (36 papers), Cryospheric studies and observations (22 papers) and Climate variability and models (13 papers). Marisa Montoya is often cited by papers focused on Geology and Paleoclimatology Research (36 papers), Cryospheric studies and observations (22 papers) and Climate variability and models (13 papers). Marisa Montoya collaborates with scholars based in Spain, Germany and Belgium. Marisa Montoya's co-authors include Anders Levermann, Stefan Rahmstorf, Matthias Hofmann, Alexa Griesel, Andrey Ganopolski, Till Kuhlbrodt, Jorge Álvarez-Solas, Alexander Robinson, Igor Kamenkovich and Andrei Sokolov and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Marisa Montoya

39 papers receiving 1.9k citations

Hit Papers

A model intercomparison o... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marisa Montoya Spain 18 1.5k 1.0k 824 321 171 42 1.9k
Masakazu Yoshimori Japan 27 1.9k 1.3× 1.7k 1.6× 655 0.8× 259 0.8× 177 1.0× 53 2.4k
Odd Helge Otterå Norway 23 1.8k 1.2× 1.5k 1.5× 762 0.9× 225 0.7× 155 0.9× 55 2.2k
Andrew L. Stewart United States 26 2.0k 1.4× 850 0.8× 1.2k 1.4× 317 1.0× 190 1.1× 90 2.5k
Dmitry Divine Norway 27 2.0k 1.3× 566 0.6× 367 0.4× 362 1.1× 287 1.7× 86 2.2k
Geoffrey Gebbie United States 20 1.1k 0.7× 580 0.6× 708 0.9× 321 1.0× 265 1.5× 58 1.3k
Anne Mouchet Belgium 25 1.5k 1.0× 929 0.9× 1.3k 1.6× 713 2.2× 531 3.1× 53 2.6k
Andrew D. Moy Australia 19 1.1k 0.7× 560 0.5× 409 0.5× 142 0.4× 347 2.0× 51 1.5k
Oleg A. Saenko Canada 29 2.4k 1.6× 2.1k 2.1× 2.0k 2.5× 447 1.4× 332 1.9× 83 3.5k
Sang‐Ik Shin United States 20 1.0k 0.7× 880 0.9× 622 0.8× 151 0.5× 186 1.1× 37 1.3k
Paul G. Myers Canada 30 2.2k 1.5× 965 0.9× 1.6k 1.9× 476 1.5× 311 1.8× 148 2.7k

Countries citing papers authored by Marisa Montoya

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Montoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Montoya

This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Montoya. A scholar is included among the top collaborators of Marisa Montoya 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 Marisa Montoya. Marisa Montoya 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.
Álvarez-Solas, Jorge, et al.. (2025). A simple physical model for glacial cycles. Earth System Dynamics. 16(3). 915–937.
2.
Sime, Louise C., David Schröeder, Laura Jackson, et al.. (2025). A Weakened AMOC Could Cause Southern Ocean Temperature and Sea‐Ice Change on Multidecadal Timescales. Journal of Geophysical Research Oceans. 130(7). 1 indexed citations
3.
Montoya, Marisa, et al.. (2024). FastIsostasy v1.0 – a regional, accelerated 2D glacial isostatic adjustment (GIA) model accounting for the lateral variability of the solid Earth. Geoscientific model development. 17(13). 5263–5290. 2 indexed citations
4.
Robinson, Alexander, et al.. (2023). Time-scale synchronisation of oscillatory responses can lead to non-monotonous R-tipping. Scientific Reports. 13(1). 2104–2104. 1 indexed citations
5.
Robinson, Alexander, et al.. (2023). Overshooting the critical threshold for the Greenland ice sheet. Nature. 622(7983). 528–536. 33 indexed citations
6.
Álvarez-Solas, Jorge, et al.. (2021). Exploring the impact of atmospheric forcing and basal drag on the Antarctic Ice Sheet under Last Glacial Maximum conditions. ˜The œcryosphere. 15(1). 215–231. 6 indexed citations
7.
Robinson, Alexander, Jorge Álvarez-Solas, Marisa Montoya, et al.. (2020). Description and validation of the ice-sheet model Yelmo (version 1.0). Geoscientific model development. 13(6). 2805–2823. 17 indexed citations
8.
Robinson, Alexander, et al.. (2019). Submarine melt as a potential trigger of the North East Greenland Ice Stream margin retreat during Marine Isotope Stage 3. ˜The œcryosphere. 13(7). 1911–1923. 6 indexed citations
9.
Álvarez-Solas, Jorge, et al.. (2019). Ocean-driven millennial-scale variability of the Eurasian ice sheet during the last glacial period simulated with a hybrid ice-sheet–shelf model. Climate of the past. 15(3). 957–979. 13 indexed citations
10.
Álvarez-Solas, Jorge, et al.. (2019). The Antarctic Ice Sheet response to glacial millennial-scale variability. Climate of the past. 15(1). 121–133. 8 indexed citations
11.
Robinson, Alexander, et al.. (2019). Impact of millennial-scale oceanic variability on the Greenland ice-sheet evolution throughout the last glacial period. Climate of the past. 15(2). 593–609. 4 indexed citations
12.
Goswami, Bedartha, Niklas Boers, Peter Ditlevsen, et al.. (2019). Tipping Points in the Earth System: An introduction to the TiPES project. EGU General Assembly Conference Abstracts. 18084. 1 indexed citations
13.
Álvarez-Solas, Jorge, et al.. (2018). A new approach for simulating the paleo-evolution of the Northern Hemisphere ice sheets. Geoscientific model development. 11(6). 2299–2314. 9 indexed citations
14.
Robinson, Alexander, et al.. (2018). The sensitivity of the Greenland Ice Sheet to glacial–interglacial oceanic forcing. Climate of the past. 14(4). 455–472. 12 indexed citations
16.
Robinson, Alexander, et al.. (2017). The sensitivity of the Greenland ice sheet to glacial-interglacial oceanic forcing. 1 indexed citations
17.
Ortega, Pablo, Marisa Montoya, J. Fidel González‐Rouco, Hugo Beltrami, & Didier Swingedouw. (2013). Variability of the ocean heat content during the last millennium – an assessment with the ECHO-g Model. Climate of the past. 9(2). 547–565. 6 indexed citations
18.
Montoya, Marisa, et al.. (2012). Role of CO 2 and Southern Ocean winds in glacial abrupt climate change. Climate of the past. 8(3). 1011–1021. 21 indexed citations
19.
Álvarez-Solas, Jorge, Marisa Montoya, Catherine Ritz, et al.. (2011). Heinrich event 1: an example of dynamical ice-sheet reaction to oceanic changes. Climate of the past. 7(4). 1297–1306. 91 indexed citations
20.
Montoya, Marisa, Andreas Born, & Anders Levermann. (2009). Reversed North Atlantic subpolar gyre dynamics in present and glacial climates. 7575. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026