Santi Chillemi

507 total citations
45 papers, 360 citations indexed

About

Santi Chillemi is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Santi Chillemi has authored 45 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 17 papers in Statistical and Nonlinear Physics and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Santi Chillemi's work include Neural dynamics and brain function (21 papers), stochastic dynamics and bifurcation (12 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Santi Chillemi is often cited by papers focused on Neural dynamics and brain function (21 papers), stochastic dynamics and bifurcation (12 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Santi Chillemi collaborates with scholars based in Spain, Italy and United States. Santi Chillemi's co-authors include Angelo Di Garbo, Michele Barbi, D. Petracchi, C. Taddei-Ferretti, C. Ascoli, Susanna Alloisio, Mario Nobile, R. Balocchi, Matteo Caleo and Marco Mainardi and has published in prestigious journals such as PLoS ONE, Biophysical Journal and Journal of Experimental Biology.

In The Last Decade

Santi Chillemi

44 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santi Chillemi Spain 12 185 132 131 74 63 45 360
Takuma Tanaka Japan 12 150 0.8× 65 0.5× 92 0.7× 80 1.1× 68 1.1× 49 432
Robert Clewley United States 10 334 1.8× 148 1.1× 121 0.9× 104 1.4× 113 1.8× 14 533
Marie‐Therese Horstmann Germany 5 363 2.0× 65 0.5× 280 2.1× 61 0.8× 198 3.1× 6 621
Efstratios K. Kosmidis Greece 13 203 1.1× 41 0.3× 296 2.3× 22 0.3× 109 1.7× 32 574
Carsten Schäfer Germany 3 247 1.3× 112 0.8× 52 0.4× 156 2.1× 24 0.4× 14 487
A. van Rotterdam Netherlands 12 753 4.1× 97 0.7× 271 2.1× 66 0.9× 107 1.7× 21 984
Stefan Engström United States 8 64 0.3× 48 0.4× 43 0.3× 24 0.3× 41 0.7× 17 297
Takeaki Shimokawa Japan 13 298 1.6× 160 1.2× 39 0.3× 70 0.9× 27 0.4× 24 456
Shivkumar Sabesan United States 12 355 1.9× 71 0.5× 220 1.7× 61 0.8× 38 0.6× 16 484
Stewart Heitmann Australia 11 421 2.3× 89 0.7× 113 0.9× 205 2.8× 63 1.0× 18 608

Countries citing papers authored by Santi Chillemi

Since Specialization
Citations

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

Fields of papers citing papers by Santi Chillemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santi Chillemi

This figure shows the co-authorship network connecting the top 25 collaborators of Santi Chillemi. A scholar is included among the top collaborators of Santi Chillemi 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 Santi Chillemi. Santi Chillemi 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.
Galatolo, Stefano, et al.. (2019). Phase-locking patterns in a resonate and fire neural model with periodic drive. Biosystems. 184. 103992–103992.
2.
Vannini, Eleonora, Matteo Caleo, Santi Chillemi, & Angelo Di Garbo. (2017). Dynamical properties of LFPs from mice with unilateral injection of TeNT. Biosystems. 161. 57–66. 4 indexed citations
3.
Garbo, Angelo Di, Michele Barbi, & Santi Chillemi. (2012). The role of glutamatercic and GABAergic synapses on the dynamics of neural networks: How they impact the transition to seizure?. Neurocomputing. 114. 15–23. 1 indexed citations
4.
Garbo, Angelo Di, Marco Mainardi, Santi Chillemi, Lamberto Maffei, & Matteo Caleo. (2011). Environmental Enrichment Modulates Cortico-Cortical Interactions in the Mouse. PLoS ONE. 6(9). e25285–e25285. 24 indexed citations
5.
Chillemi, Santi, Michele Barbi, & Angelo Di Garbo. (2010). A network of pyramidal neurons is sensitive to the timing of its excitatory inputs. Neurocomputing. 74(8). 1159–1164. 1 indexed citations
6.
Barbi, Michele, Santi Chillemi, Angelo Di Garbo, R. Balocchi, & Danilo Menicucci. (2006). A Minimal Model for the Respiratory Sinus Arrhythmia. Biological Cybernetics. 94(3). 225–232. 3 indexed citations
7.
Garbo, Angelo Di, Michele Barbi, & Santi Chillemi. (2006). Signal processing properties of fast spiking interneurons. Biosystems. 86(1-3). 27–37. 4 indexed citations
8.
Garbo, Angelo Di, Michele Barbi, Santi Chillemi, Susanna Alloisio, & Mario Nobile. (2006). Calcium signalling in astrocytes and modulation of neural activity. Biosystems. 89(1-3). 74–83. 50 indexed citations
9.
Garbo, Angelo Di, Alessandro Panarese, & Santi Chillemi. (2004). Gap junctions promote synchronous activities in a network of inhibitory interneurons. Biosystems. 79(1-3). 91–99. 12 indexed citations
10.
Allegrini, Paolo, R. Balocchi, Santi Chillemi, et al.. (2003). Long- and short-time analysis of heartbeat sequences: Correlation with mortality risk in congestive heart failure patients. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(6). 62901–62901. 10 indexed citations
11.
Barbi, Michele, et al.. (2003). Stochastic resonance in a sinusoidally forced LIF model with noisy threshold. Biosystems. 71(1-2). 23–28. 11 indexed citations
12.
Garbo, Angelo Di, Michele Barbi, & Santi Chillemi. (2002). Synchronization in a network of fast-spiking interneurons. Biosystems. 67(1-3). 45–53. 13 indexed citations
13.
Chillemi, Santi, et al.. (2002). 0.25% levo-bupivacaine for interscalene block during shoulder surgery. A survey on 20 patients.. PubMed. 68(7-8). 589–92. 6 indexed citations
14.
Montagnini, Anna, Paolo Allegrini, Santi Chillemi, Angelo Di Garbo, & Paolo Grigolini. (1998). Rescaling prescriptions: On the conflict between Hurst's analysis and the second moment prediction. Physics Letters A. 244(4). 237–244. 7 indexed citations
15.
Chillemi, Santi, Michele Barbi, & Angelo Di Garbo. (1997). Dynamics of the neural discharge in snail neurons. Biosystems. 40(1-2). 21–28. 5 indexed citations
16.
Chillemi, Santi, Michele Barbi, Angelo Di Garbo, et al.. (1997). Detection of nonlinearity in the healthy heart rhythm.. PubMed. 36(4-5). 278–81. 3 indexed citations
17.
Barbi, Michele, et al.. (1995). Neural encoding in invertebrate neurons. Il Nuovo Cimento D. 17(7-8). 725–731. 4 indexed citations
18.
Petracchi, D., Michele Barbi, Santi Chillemi, et al.. (1995). A TEST FOR A BIOLOGICAL SIGNAL ENCODED BY NOISE. International Journal of Bifurcation and Chaos. 5(1). 89–100. 5 indexed citations
19.
Taddei-Ferretti, C., et al.. (1987). Modulation of Hydra attenuata rhythmic activity. IV. The mechanism responsible for rhythmic activity.. PubMed. 46(3). 133–40. 5 indexed citations
20.
Taddei-Ferretti, C., et al.. (1980). Landing reaction ofMusca domestica. Die Naturwissenschaften. 67(2). 101–102. 16 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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