Noemi Faedda

738 citations
31 papers · 441 · h-index 13

Impact in

Papers in

Noemi Faedda

30 papers receiving 427 citations

Peers

Noemi Faedda
Comparison fields: 5 of 68
  • Psychiatry and Mental health 307
  • Endocrine and Autonomic Systems 50
  • Clinical Psychology 81
  • Pathology and Forensic Medicine 63
  • Experimental and Cognitive Psychology 41
Replace Serena Marianna Lavano with:
Serena Marianna Lavano Italy
Marit Haram Norway
Andrew P. Ho United States
Yasemin Görgülü Türkiye
Maude Sénèque France
Ömer Özbulut Türkiye
Tara M. Holmes United States
Angelina Isabella Mellentin Denmark
Germán Prados Spain
Natália Kocsel Hungary
Noemi Faedda relative to Serena Marianna Lavano Italy Serena Marianna Lavano's profile →
Citations per field
00.5×10.6×
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 201751
2 201640
3 201635
4 201634
5 201829
6 201827
7 201725
8 201823
9 201920
10 201916
11 201716
12 201914
13 201913
14 202012
15 202310
16 20188
17 20178
18 20198
19 20207
20 20236

About Noemi Faedda

Noemi Faedda is a scholar working on Psychiatry and Mental health, Clinical Psychology, Endocrine and Autonomic Systems, Cognitive Neuroscience and Education, having authored 31 papers that have together received 441 indexed citations. Recurring topics across this work include Migraine and Headache Studies (16 papers), Psychosomatic Disorders and Their Treatments (6 papers), Autism Spectrum Disorder Research (5 papers), Attention Deficit Hyperactivity Disorder (5 papers), Neuroscience of respiration and sleep (5 papers), Cardiovascular Syncope and Autonomic Disorders (4 papers), Child and Animal Learning Development (3 papers) and Child Development and Digital Technology (3 papers). The work is most often cited by research in Psychiatry and Mental health (307 citations), Endocrine and Autonomic Systems (50 citations), Clinical Psychology (81 citations), Pathology and Forensic Medicine (63 citations) and Experimental and Cognitive Psychology (41 citations). Noemi Faedda has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Vincenzo Guidetti, Rita Cerutti, Paola Verdecchia, Michael Siniatchkin, Massimiliano Valeriani, Valentina Baglioni, Marco A. Arruda, Valentina Spensieri, Lina Pezzuti and Francesco Cardona. Their work appears in journals such as The Journal of Headache and Pain, Frontiers in Neurology, Neurological Sciences, Frontiers in Psychology and Frontiers in Psychiatry.

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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