Esther Ibáñez‐Marcelo

435 total citations
9 papers, 282 citations indexed

About

Esther Ibáñez‐Marcelo is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Esther Ibáñez‐Marcelo has authored 9 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cognitive Neuroscience. Recurrent topics in Esther Ibáñez‐Marcelo's work include Evolution and Genetic Dynamics (3 papers), Gene Regulatory Network Analysis (3 papers) and Functional Brain Connectivity Studies (3 papers). Esther Ibáñez‐Marcelo is often cited by papers focused on Evolution and Genetic Dynamics (3 papers), Gene Regulatory Network Analysis (3 papers) and Functional Brain Connectivity Studies (3 papers). Esther Ibáñez‐Marcelo collaborates with scholars based in Italy, Spain and Canada. Esther Ibáñez‐Marcelo's co-authors include Giovanni Petri, Angkoon Phinyomark, Reed Ferber, Sean T. Osis, Enrica L. Santarcangelo, Alice Patania, Rami N. Khushaba, Erik Scheme, Tomás Alarcón and Diego Manzoni and has published in prestigious journals such as NeuroImage, Journal of Theoretical Biology and Journal of The Royal Society Interface.

In The Last Decade

Esther Ibáñez‐Marcelo

7 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esther Ibáñez‐Marcelo Italy 6 117 111 33 33 28 9 282
Antonio Pinti France 10 122 1.0× 44 0.4× 14 0.4× 15 0.5× 128 4.6× 56 390
Radim Krupička Czechia 11 149 1.3× 46 0.4× 104 3.2× 66 2.0× 20 0.7× 46 421
Pavitra Krishnaswamy Singapore 9 119 1.0× 142 1.3× 7 0.2× 22 0.7× 13 0.5× 23 315
Monika Błaszczyszyn Poland 9 99 0.8× 73 0.7× 48 1.5× 28 0.8× 70 2.5× 34 299
Mohammad Ali Ahmadi‐Pajouh Iran 11 115 1.0× 197 1.8× 23 0.7× 8 0.2× 4 0.1× 20 333
Davide Borra Italy 12 66 0.6× 271 2.4× 32 1.0× 11 0.3× 15 0.5× 23 377
John Head United Kingdom 9 222 1.9× 90 0.8× 12 0.4× 67 2.0× 10 0.4× 21 332
Ana Patrícia Rocha Portugal 9 90 0.8× 50 0.5× 79 2.4× 70 2.1× 7 0.3× 22 316
Karin Schiecke Germany 12 69 0.6× 271 2.4× 35 1.1× 13 0.4× 8 0.3× 27 402
Tamanna T. K. Munia United States 9 91 0.8× 111 1.0× 43 1.3× 22 0.7× 5 0.2× 25 353

Countries citing papers authored by Esther Ibáñez‐Marcelo

Since Specialization
Citations

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

Fields of papers citing papers by Esther Ibáñez‐Marcelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esther Ibáñez‐Marcelo. 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 Esther Ibáñez‐Marcelo. The network helps show where Esther Ibáñez‐Marcelo may publish in the future.

Co-authorship network of co-authors of Esther Ibáñez‐Marcelo

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

All Works

9 of 9 papers shown
1.
Ibáñez‐Marcelo, Esther, et al.. (2019). Topology highlights mesoscopic functional equivalence between imagery and perception: The case of hypnotizability. NeuroImage. 200. 437–449. 45 indexed citations
2.
Ibáñez‐Marcelo, Esther, et al.. (2019). Spectral and topological analyses of the cortical representation of the head position: Does hypnotizability matter?. Brain and Behavior. 9(6). e01277–e01277. 12 indexed citations
3.
Phinyomark, Angkoon, Rami N. Khushaba, Esther Ibáñez‐Marcelo, et al.. (2017). Navigating features: a topologically informed chart of electromyographic features space. Journal of The Royal Society Interface. 14(137). 20170734–20170734. 56 indexed citations
4.
Phinyomark, Angkoon, Giovanni Petri, Esther Ibáñez‐Marcelo, Sean T. Osis, & Reed Ferber. (2017). Analysis of Big Data in Gait Biomechanics: Current Trends and Future Directions. Journal of Medical and Biological Engineering. 38(2). 244–260. 117 indexed citations
5.
Phinyomark, Angkoon, Esther Ibáñez‐Marcelo, & Giovanni Petri. (2017). Resting-State fMRI Functional Connectivity: Big Data Preprocessing Pipelines and Topological Data Analysis. IEEE Transactions on Big Data. 3(4). 415–428. 39 indexed citations
6.
Ibáñez‐Marcelo, Esther & Tomás Alarcón. (2016). Evolutionary escape on complex genotype–phenotype networks. Journal of Theoretical Biology. 394. 18–31.
7.
Ibáñez‐Marcelo, Esther & Tomás Alarcón. (2015). Surviving evolutionary escape on complex genotype–phenotype networks. Journal of Mathematical Biology. 72(3). 623–647.
8.
Ibáñez‐Marcelo, Esther & Marta Casanellas. (2014). EM for phylogenetic topology reconstruction on nonhomogeneous data. BMC Evolutionary Biology. 14(1). 132–132. 1 indexed citations
9.
Ibáñez‐Marcelo, Esther & Tomás Alarcón. (2014). The topology of robustness and evolvability in evolutionary systems with genotype–phenotype map. Journal of Theoretical Biology. 356. 144–162. 12 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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