Madeline Fields

1.7k citations
51 papers · 985 indexed · h-index 18

Impact in

Papers in

Madeline Fields

49 papers receiving 964 citations

Peers

Madeline Fields
Comparison fields: 5 of 96
  • Psychiatry and Mental health 473
  • Cognitive Neuroscience 453
  • Neurology 146
  • Neurology 264
  • Cellular and Molecular Neuroscience 221
Replace Lara Marcuse with:
Lara Marcuse United States
Marcel Heers Germany
Dae‐Won Seo South Korea
Jan Rémi Germany
Amir Arain United States
Frank Kerling Germany
Ram Mani United States
Howan Leung Hong Kong
Mark L. Scheuer United States
Steven L. Weinstein United States
Madeline Fields relative to Lara Marcuse United States Lara Marcuse's profile →
Citations per field
00.5×1.5×2.4×
Lara Marcuse · 1×
Citations per year

Countries citing papers authored by Madeline Fields

Since Specialization
Citations

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

Fields of papers citing papers by Madeline Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017247
2 201962
3 202060
4 201754
5 201944
6 202040
7 202229
8 200326
9 200224
10 201324
11 201823
12 202323
13 200423
14 201422
15 201820
16 202119
17 200719
18
Cardiovascular reactivity in fibromyalgia: evidence for pathogenic heterogeneity.
200518
19 201615
20 201715

About Madeline Fields

Madeline Fields is a scholar working on Psychiatry and Mental health, Neurology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 985 indexed citations. Recurring topics across this work include Epilepsy research and treatment (23 papers), EEG and Brain-Computer Interfaces (11 papers), Neurological disorders and treatments (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), Neonatal and fetal brain pathology (5 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Psychiatry and Mental health (473 citations), Cognitive Neuroscience (453 citations), Neurology (146 citations), Neurology (264 citations) and Cellular and Molecular Neuroscience (221 citations). Madeline Fields has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Lara Marcuse, Bülent Yener, Haidar Khan, Fedor Panov, Saadi Ghatan, Ji Yeoun Yoo, Bradley N. Delman, Rebecca Feldman, Priti Balchandani and Maite La Vega‐Talbott. Their work appears in journals such as Epilepsy & Behavior, Epilepsia, Journal of Clinical Neurophysiology, Seizure and Frontiers in Neurology.

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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