Emilio Kropff

5.2k total citations · 3 hit papers
25 papers, 3.0k citations indexed

About

Emilio Kropff is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Atmospheric Science. According to data from OpenAlex, Emilio Kropff has authored 25 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 3 papers in Atmospheric Science. Recurrent topics in Emilio Kropff's work include Neuroscience and Neuropharmacology Research (17 papers), Memory and Neural Mechanisms (16 papers) and Neural dynamics and brain function (10 papers). Emilio Kropff is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Memory and Neural Mechanisms (16 papers) and Neural dynamics and brain function (10 papers). Emilio Kropff collaborates with scholars based in Argentina, Italy and Norway. Emilio Kropff's co-authors include Edvard I Moser, May‐Britt Moser, Claude Boccara, Trygve Solstad, Alessandro Treves, James E. Carmichael, Alejandro F. Schinder, Sung Min Yang, Bailu Si and Mariela F. Trinchero and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Emilio Kropff

24 papers receiving 2.9k citations

Hit Papers

Place Cells, Grid Cells, and the Brain's Spatial Represen... 2008 2026 2014 2020 2008 2008 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emilio Kropff Argentina 13 2.4k 1.7k 263 252 215 25 3.0k
Trygve Solstad Norway 8 2.3k 1.0× 1.8k 1.1× 269 1.0× 112 0.4× 187 0.9× 14 2.6k
Colin Lever United Kingdom 28 3.2k 1.3× 2.3k 1.3× 356 1.4× 186 0.7× 253 1.2× 47 4.0k
Thomas J. Wills United Kingdom 19 1.9k 0.8× 1.5k 0.8× 184 0.7× 118 0.5× 141 0.7× 24 2.2k
Sturla Molden Norway 7 3.8k 1.5× 2.9k 1.7× 418 1.6× 212 0.8× 267 1.2× 9 4.3k
Douglas A. Nitz United States 29 2.4k 1.0× 1.7k 1.0× 193 0.7× 85 0.3× 116 0.5× 63 3.0k
Étienne Save France 35 2.6k 1.1× 1.9k 1.1× 506 1.9× 141 0.6× 310 1.4× 76 3.2k
Caswell Barry United Kingdom 26 3.9k 1.6× 2.5k 1.4× 387 1.5× 89 0.4× 305 1.4× 50 4.3k
Robert U. Muller United States 32 3.2k 1.3× 2.8k 1.6× 357 1.4× 224 0.9× 258 1.2× 59 3.8k
Elizabeth A. Buffalo United States 33 3.6k 1.5× 1.7k 1.0× 389 1.5× 138 0.5× 59 0.3× 61 4.3k
Francesco P. Battaglia Netherlands 31 5.9k 2.4× 3.4k 2.0× 348 1.3× 169 0.7× 176 0.8× 80 6.8k

Countries citing papers authored by Emilio Kropff

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Kropff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Kropff

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio Kropff. A scholar is included among the top collaborators of Emilio Kropff 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 Emilio Kropff. Emilio Kropff 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.
Gao, Kai, et al.. (2024). Multiplexed representation of others in the hippocampal CA1 subfield of female mice. Nature Communications. 15(1). 3702–3702. 2 indexed citations
2.
Kropff, Emilio, et al.. (2023). Modeled grid cells aligned by a flexible attractor. eLife. 12. 1 indexed citations
3.
Trinchero, Mariela F., et al.. (2023). Unique potential of immature adult-born neurons for the remodeling of CA3 spatial maps. Cell Reports. 42(9). 113086–113086. 5 indexed citations
5.
Kropff, Emilio, et al.. (2022). Selective connectivity enhances storage capacity in attractor models of memory function. Frontiers in Systems Neuroscience. 16. 983147–983147. 2 indexed citations
6.
Borge, Rafael, et al.. (2022). Characterisation of errors in an urban scale atmospheric dispersion model through clustering of performance metrics. Air Quality Atmosphere & Health. 17(6). 1225–1234. 2 indexed citations
7.
Kropff, Emilio, James E. Carmichael, Edvard I Moser, & May‐Britt Moser. (2021). Frequency of theta rhythm is controlled by acceleration, but not speed, in running rats. Neuron. 109(6). 1029–1039.e8. 55 indexed citations
8.
Carvalho, Miguel M., et al.. (2020). A Brainstem Locomotor Circuit Drives the Activity of Speed Cells in the Medial Entorhinal Cortex. Cell Reports. 32(10). 108123–108123. 39 indexed citations
9.
Borge, Rafael, et al.. (2020). High PM10 concentrations in the city of Buenos Aires and their relationship with meteorological conditions. Atmospheric Environment. 241. 117773–117773. 21 indexed citations
10.
Leloup, Julie, et al.. (2019). Spatial patterns of conditions leading to peak O3 concentrations revealed by clustering analysis of modeled data. Air Quality Atmosphere & Health. 12(6). 743–754. 2 indexed citations
11.
Kropff, Emilio, et al.. (2016). Bursting Neurons in the Hippocampal Formation Encode Features of LFP Rhythms. Frontiers in Computational Neuroscience. 10. 133–133. 12 indexed citations
12.
Kropff, Emilio, James E. Carmichael, May‐Britt Moser, & Edvard I Moser. (2015). Speed cells in the medial entorhinal cortex. Nature. 523(7561). 419–424. 418 indexed citations breakdown →
13.
Kropff, Emilio, Sung Min Yang, & Alejandro F. Schinder. (2015). Dynamic role of adult-born dentate granule cells in memory processing. Current Opinion in Neurobiology. 35. 21–26. 49 indexed citations
14.
Mongiat, Lucas A., Sung Min Yang, Mariela F. Trinchero, et al.. (2014). Delayed Coupling to Feedback Inhibition during a Critical Period for the Integration of Adult-Born Granule Cells. Neuron. 85(1). 116–130. 146 indexed citations
15.
Si, Bailu, Emilio Kropff, & Alessandro Treves. (2012). Grid alignment in entorhinal cortex. Biological Cybernetics. 106(8-9). 483–506. 45 indexed citations
16.
Kropff, Emilio & Alessandro Treves. (2008). The emergence of grid cells: Intelligent design or just adaptation?. Hippocampus. 18(12). 1256–1269. 171 indexed citations
17.
Russo, Eleonora, Vijay Mohan K Namboodiri, Alessandro Treves, & Emilio Kropff. (2008). Free association transitions in models of cortical latching dynamics. New Journal of Physics. 10(1). 15008–15008. 25 indexed citations
18.
Solstad, Trygve, Claude Boccara, Emilio Kropff, May‐Britt Moser, & Edvard I Moser. (2008). Representation of Geometric Borders in the Entorhinal Cortex. Science. 322(5909). 1865–1868. 742 indexed citations breakdown →
19.
Moser, Edvard I, Emilio Kropff, & May‐Britt Moser. (2008). Place Cells, Grid Cells, and the Brain's Spatial Representation System. Annual Review of Neuroscience. 31(1). 69–89. 1178 indexed citations breakdown →
20.
Kropff, Emilio & Alessandro Treves. (2006). The complexity of latching transitions in large scale cortical networks. Natural Computing. 6(2). 169–185. 15 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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