Danielle A. Becker

1.4k citations
59 papers · 1.1k · h-index 17

Impact in

Papers in

Danielle A. Becker

53 papers receiving 1.0k citations

Peers

Danielle A. Becker
Comparison fields: 5 of 85
  • Psychiatry and Mental health 367
  • Neurology 198
  • Library and Information Sciences 23
  • Cognitive Neuroscience 192
  • Neurology 124
Replace Lambros Messinis with:
Lambros Messinis Greece
Taoufik Alsaadi United Arab Emirates
Yann Cobigo United States
Thomas D. Parker United Kingdom
Paul M. Levisohn United States
Antonio Carota Switzerland
Michael Maier United Kingdom
Cormac A. O’Donovan United States
Jacopo Lanzone Italy
Hikari Yamashita Japan
Danielle A. Becker relative to Lambros Messinis Greece Lambros Messinis's profile →
Citations per field
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Lambros Messinis · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001142
2 2017105
3 201299
4 200171
5 200365
6 200464
7 201547
8 201541
9 201341
10 202237
11 201237
12 201730
13 201329
14 202128
15 202119
16 201219
17 201216
18 202215
19 202115
20 201613

About Danielle A. Becker

Danielle A. Becker is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Information Systems, Cognitive Neuroscience and General Health Professions, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epilepsy research and treatment (27 papers), Pharmacological Effects and Toxicity Studies (11 papers), Mobile Health and mHealth Applications (7 papers), Neonatal and fetal brain pathology (6 papers), Web and Library Services (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Sleep and Wakefulness Research (4 papers) and Mobile Learning in Education (4 papers). The work is most often cited by research in Psychiatry and Mental health (367 citations), Neurology (198 citations), Library and Information Sciences (23 citations), Cognitive Neuroscience (192 citations) and Neurology (124 citations). Danielle A. Becker has collaborated with scholars based in United States, Australia and Luxembourg. Frequent co-authors include John J. Bartko, Marjorie A. Garvey, Eileen B. Fennell, Paul R. Carney, Steven Galetta, Laura J. Balcer, Christopher A. Barker, Ulf Ziemann, Karen J. Kaczynski and Daniel Friedman. Their work appears in journals such as Epilepsy & Behavior, Neurology, Epilepsia, Journal of the Medical Library Association JMLA and Neurology and Therapy.

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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