Francesco Poli

428 citations
19 papers · 174 · h-index 7

Impact in

Papers in

Francesco Poli

17 papers receiving 173 citations

Peers

Francesco Poli
Comparison fields: 5 of 44
  • Developmental and Educational Psychology 107
  • Experimental and Cognitive Psychology 60
  • Cognitive Neuroscience 65
  • General Decision Sciences 6
  • Pharmacy 10
Replace Emily Mather with:
Emily Mather United Kingdom
Katherine E. Twomey United Kingdom
Nobuyuki Jincho Japan
Naomi Langerock Switzerland
Anthony Brandt United States
Jill Lany United States
Natalie Boll‐Avetisyan Germany
Adriel John Orena Canada
Erin S. Isbilen United States
Ö. Ece Demir‐Lira United States
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Citations per field
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Citations per year

Countries citing papers authored by Francesco Poli

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Poli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Francesco Poli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesco Poli Line = papers co-authored together Francesco Poli links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202052
2 202229
3 202425
4 202216
5 20239
6 20247
7 20196
8 20205
9 20234
10 20244
11 20244
12 20204
13 20193
14
Aeroelastic Stability Analysis of a Non-Rotating Annular Turbine Test Rig: a Comparison Between a Linearized and a Non-Linear Computational Method
20152
15 20252
16
Numerical and experimental study of the tone noise generation by a turbine rear frame
20151
17 20251
18 20250
19 20250

About Francesco Poli

Francesco Poli is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Aerospace Engineering and Artificial Intelligence, having authored 19 papers that have together received 174 indexed citations. Recurring topics across this work include Child and Animal Learning Development (12 papers), Psychological and Educational Research Studies (5 papers), Memory and Neural Mechanisms (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Neural dynamics and brain function (2 papers), Turbomachinery Performance and Optimization (2 papers), Experimental Behavioral Economics Studies (1 paper) and Memory Processes and Influences (1 paper). The work is most often cited by research in Developmental and Educational Psychology (107 citations), Experimental and Cognitive Psychology (60 citations), Cognitive Neuroscience (65 citations), General Decision Sciences (6 citations) and Pharmacy (10 citations). Francesco Poli has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Sabine Hunnius, Rogier B. Mars, Marlene Meyer, Jill X. O’Reilly, Laura Macchi, Azzurra Ruggeri, Max Hinne, Carolina de Weerth, Roberto Pacciani and Yilin Li. Their work appears in journals such as Developmental Science, Science Advances, Nature Communications, Journal of Intelligence and Open Mind.

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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