Noemi Faedda

756 citations
31 papers · 458 · h-index 14

Impact in

Papers in

Noemi Faedda

30 papers receiving 445 citations

Peers

Noemi Faedda
Comparison fields: 5 of 68
  • Psychiatry and Mental health 292
  • Endocrine and Autonomic Systems 32
  • Clinical Psychology 52
  • Experimental and Cognitive Psychology 32
  • Pediatrics, Perinatology and Child Health 43
Replace Serena Marianna Lavano with:
Serena Marianna Lavano Italy
Seoyoung Yoon South Korea
Ida Kellison United States
Ömer Özbulut Türkiye
Sara Patti Italy
S Ottaviano Italy
Harald Guendel Germany
Lauren Schwartz United States
H. Richard Waranch United States
Johanne Telnes Instanes Norway
Noemi Faedda relative to Serena Marianna Lavano Italy Serena Marianna Lavano's profile →
Citations per field
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Serena Marianna Lavano · 1×
Citations per year

Countries citing papers authored by Noemi Faedda

Since Specialization
Citations

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

Fields of papers citing papers by Noemi Faedda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Noemi Faedda, 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 Noemi Faedda Line = papers co-authored together Noemi Faedda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201756
2 201640
3 201634
4 201634
5 201829
6 201829
7 201726
8 201823
9 201921
10 201916
11 201716
12 201915
13 201914
14 202013
15 202312
16 20188
17 20198
18 20178
19 20188
20 20207

About Noemi Faedda

Noemi Faedda is a scholar working on Psychiatry and Mental health, Clinical Psychology, Cognitive Neuroscience, Endocrine and Autonomic Systems and Education, having authored 31 papers that have together received 458 indexed citations. Recurring topics across this work include Migraine and Headache Studies (16 papers), Psychosomatic Disorders and Their Treatments (5 papers), Autism Spectrum Disorder Research (5 papers), Attention Deficit Hyperactivity Disorder (4 papers), Neuroscience of respiration and sleep (4 papers), Child Development and Digital Technology (3 papers), Child and Animal Learning Development (3 papers) and Ophthalmology and Eye Disorders (2 papers). The work is most often cited by research in Psychiatry and Mental health (292 citations), Endocrine and Autonomic Systems (32 citations), Clinical Psychology (52 citations), Experimental and Cognitive Psychology (32 citations) and Pediatrics, Perinatology and Child Health (43 citations). Noemi Faedda has collaborated with scholars based in Italy, Türkiye and United States. Frequent co-authors include Vincenzo Guidetti, Rita Cerutti, Paola Verdecchia, Michael Siniatchkin, Massimiliano Valeriani, Valentina Baglioni, Lina Pezzuti, Francesco Cardona, Valentina Spensieri and Marco A. Arruda. Their work appears in journals such as The Journal of Headache and Pain, Neurological Sciences, Frontiers in Neurology, Frontiers in Psychology and Life.

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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