Danielle A. Becker

1.3k citations
56 papers · 892 · h-index 15

Impact in

Papers in

Danielle A. Becker

49 papers receiving 860 citations

Peers

Danielle A. Becker
Comparison fields: 5 of 85
  • Neurology 205
  • Psychiatry and Mental health 341
  • Library and Information Sciences 22
  • Cognitive Neuroscience 258
  • Neurology 140
Replace C. L. Cazzullo with:
C. L. Cazzullo Italy
Ferenc Nagy Hungary
Shinichiro Nagamitsu Japan
Stefano Sandrone United Kingdom
Giovanni Assenza Italy
Monia Cabinio Italy
Jacopo Lanzone Italy
Alvino Bisecco Italy
Thomas P. Bouchard Canada
Antonio Carota Switzerland
Danielle A. Becker relative to C. L. Cazzullo Italy C. L. Cazzullo's profile →
Citations per field
00.5×8.6×
C. L. Cazzullo · 1×
Citations per year

Countries citing papers authored by Danielle A. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Danielle A. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle A. Becker. 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 Danielle A. Becker. The network helps show where Danielle A. Becker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001135
2 2017102
3 201288
4 200167
5 200362
6 200459
7 201339
8 201235
9 202230
10 201730
11 202128
12 201328
13 202117
14 201215
15 202215
16 201613
17 202113
18 201212
19 202012
20 202311

About Danielle A. Becker

Danielle A. Becker is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Information Systems, having authored 56 papers that have together received 892 indexed citations. Recurring topics across this work include Epilepsy research and treatment (25 papers), Pharmacological Effects and Toxicity Studies (17 papers), Neonatal and fetal brain pathology (7 papers), Mobile Health and mHealth Applications (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Web and Library Services (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Neurology (205 citations), Psychiatry and Mental health (341 citations), Library and Information Sciences (22 citations), Cognitive Neuroscience (258 citations) and Neurology (140 citations). Danielle A. Becker has collaborated with scholars based in United States, Australia and Bosnia and Herzegovina. Frequent co-authors include Marjorie A. Garvey, John J. Bartko, Paul R. Carney, Eileen B. Fennell, Steven Galetta, Laura J. Balcer, Ulf Ziemann, Christopher A. Barker, Karen J. Kaczynski and Kathryn A. Davis. Their work appears in journals such as Epilepsy & Behavior, Neurology, Epilepsia, Journal of Clinical Neurophysiology and Journal of the Medical Library Association JMLA.

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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