Massimiliano Versace

708 total citations
24 papers, 502 citations indexed

About

Massimiliano Versace is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Massimiliano Versace has authored 24 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 13 papers in Electrical and Electronic Engineering and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Massimiliano Versace's work include Neural dynamics and brain function (16 papers), Advanced Memory and Neural Computing (13 papers) and Neural Networks and Applications (6 papers). Massimiliano Versace is often cited by papers focused on Neural dynamics and brain function (16 papers), Advanced Memory and Neural Computing (13 papers) and Neural Networks and Applications (6 papers). Massimiliano Versace collaborates with scholars based in United States, Italy and India. Massimiliano Versace's co-authors include Stephen Grossberg, Oliver Hinds, Rushi Bhatt, Anatoli Gorchetchnikov, Heather Ames, Ennio Mingolla, Greg Snider, Hisham Abdalla, Rick Amerson and Michael E. Hasselmo and has published in prestigious journals such as Brain Research, Expert Systems with Applications and Computer.

In The Last Decade

Massimiliano Versace

23 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimiliano Versace United States 10 255 192 127 121 84 24 502
Sebastian Gerwinn Germany 12 262 1.0× 88 0.5× 101 0.8× 83 0.7× 12 0.1× 25 479
Thomas Voegtlin France 9 210 0.8× 77 0.4× 61 0.5× 211 1.7× 11 0.1× 17 444
A. Harry Klopf United States 9 207 0.8× 60 0.3× 78 0.6× 223 1.8× 13 0.2× 20 428
Guanghui Yan China 14 254 1.0× 92 0.5× 23 0.2× 66 0.5× 20 0.2× 73 521
Markus Varsta Italy 8 330 1.3× 70 0.4× 148 1.2× 157 1.3× 11 0.1× 16 492
Wolfgang Barth Germany 6 92 0.4× 155 0.8× 205 1.6× 17 0.1× 16 0.2× 8 368
Dhruva Tirumala United Kingdom 4 229 0.9× 39 0.2× 52 0.4× 109 0.9× 9 0.1× 4 333
Carlos Diuk United States 10 214 0.8× 15 0.1× 24 0.2× 348 2.9× 87 1.0× 16 624
Stefan Schliebs New Zealand 9 320 1.3× 402 2.1× 103 0.8× 333 2.8× 6 0.1× 14 621

Countries citing papers authored by Massimiliano Versace

Since Specialization
Citations

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

Fields of papers citing papers by Massimiliano Versace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimiliano Versace

This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Versace. A scholar is included among the top collaborators of Massimiliano Versace 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 Massimiliano Versace. Massimiliano Versace 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
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Guenther, Frank H., et al.. (2015). A neural network-based exploratory learning and motor planning system for co-robots. Frontiers in Neurorobotics. 9. 7–7. 5 indexed citations
3.
Raudies, Florian, et al.. (2014). Learning to navigate in a virtual world using optic flow and stereo disparity signals. Artificial Life and Robotics. 19(2). 157–169. 2 indexed citations
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Ames, Heather, Ennio Mingolla, Ayesha Sohail, et al.. (2012). The Animat: New Frontiers in Whole Brain Modeling. IEEE Pulse. 3(1). 47–50. 9 indexed citations
6.
Versace, Massimiliano, et al.. (2012). CARTMAP: a neural network method for automated feature selection in financial time series forecasting. Neural Computing and Applications. 21(5). 969–977. 21 indexed citations
7.
Grossberg, Stephen, et al.. (2012). Persistence and storage of activity patterns in spiking recurrent cortical networks: modulation of sigmoid signals by after-hyperpolarization currents and acetylcholine. Frontiers in Computational Neuroscience. 6. 42–42. 18 indexed citations
8.
Gorchetchnikov, Anatoli, Massimiliano Versace, Heather Ames, et al.. (2011). Review and unification of learning framework in Cog Ex Machina platform for memristive neuromorphic hardware. 2601–2608. 5 indexed citations
9.
Versace, Massimiliano, et al.. (2011). CONTEXT SENSITIVITY WITH NEURAL NETWORKS IN FINANCIAL DECISION PROCESSES. SSRN Electronic Journal. 5(5). 27–43. 2 indexed citations
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Versace, Massimiliano, et al.. (2011). After-hyperpolarization currents and acetylcholine control sigmoid transfer functions in a spiking cortical model. Journal of Computational Neuroscience. 32(2). 253–280. 14 indexed citations
12.
Grossberg, Stephen, et al.. (2011). How do object reference frames and motion vector decomposition emerge in laminar cortical circuits?. Attention Perception & Psychophysics. 73(4). 1147–1170. 19 indexed citations
13.
Snider, Greg, Rick Amerson, Hisham Abdalla, et al.. (2011). From Synapses to Circuitry: Using Memristive Memory to Explore the Electronic Brain. Computer. 44(2). 21–28. 69 indexed citations
14.
Versace, Massimiliano, et al.. (2010). Running as fast as it can: How spiking dynamics form object groupings in the laminar circuits of visual cortex. Journal of Computational Neuroscience. 28(2). 323–346. 19 indexed citations
15.
Gorchetchnikov, Anatoli, Massimiliano Versace, Heather Ames, et al.. (2010). General form of learning algorithms for neuromorphic hardware implementation. BMC Neuroscience. 11(S1). 4 indexed citations
16.
Grossberg, Stephen & Massimiliano Versace. (2008). Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Brain Research. 1218. 278–312. 107 indexed citations
17.
Versace, Massimiliano, et al.. (2008). KInNeSS: A Modular Framework for Computational Neuroscience. Neuroinformatics. 6(4). 291–309. 9 indexed citations
18.
Gorchetchnikov, Anatoli, Massimiliano Versace, & Michael E. Hasselmo. (2006). Spatially and temporally local spike-timing-dependent plasticity rule. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 2. 390–395. 3 indexed citations
19.
Gorchetchnikov, Anatoli, Massimiliano Versace, & Michael E. Hasselmo. (2005). A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay. Neural Networks. 18(5-6). 458–466. 8 indexed citations
20.
Versace, Massimiliano, et al.. (2004). Predicting the exchange traded fund DIA with a combination of genetic algorithms and neural networks. Expert Systems with Applications. 27(3). 417–425. 104 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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