Lauren Seeberger

4.2k citations
31 papers · 2.5k indexed · 1 hit paper · h-index 17

Lauren Seeberger

27 papers receiving 2.4k citations

Hit Papers

By Carrot or by Stick: Cognitive Reinforcement Learning i...1.4k20042026201120184008001.2k

Peers

Lauren Seeberger
Comparison fields: 5 of 129
  • Neurology 1.2k
  • Cognitive Neuroscience 1.1k
  • General Decision Sciences 80
  • Cellular and Molecular Neuroscience 734
  • Psychiatry and Mental health 330
Replace Ji Hyun Ko with:
Ji Hyun Ko Canada
Marcus Heldmann Germany
Thilo van Eimeren Germany
Nicola J. Ray United Kingdom
Atbin Djamshidian Austria
Élise Météreau France
Sean S. O’Sullivan United Kingdom
Rachel Swainson United Kingdom
Maxime Bertoux France
Bahram Mohammadi Germany
Lauren Seeberger relative to Ji Hyun Ko Canada Ji Hyun Ko's profile →
Citations per field
00.5×1.5×
Ji Hyun Ko · 1×
Citations per year

Countries citing papers authored by Lauren Seeberger

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Seeberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20240
3 20240
4 202233
5 20220
6 202117
7 20209
8 202053
9 202072
10 20117
11 201115
12 200915
13 200719
14 2005179
15
By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonismbreakdown →
20041437
16 200430
17 200131
18 200036
19 2000231
20 199897

About Lauren Seeberger

Lauren Seeberger is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurological disorders and treatments (17 papers), Parkinson's Disease Mechanisms and Treatments (14 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Genetic Neurodegenerative Diseases (6 papers), Autism Spectrum Disorder Research (5 papers), Restless Legs Syndrome Research (4 papers), Autoimmune Neurological Disorders and Treatments (2 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Neurology (1.2k citations), Cognitive Neuroscience (1.1k citations) and General Decision Sciences (80 citations). Lauren Seeberger has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Michael J. Frank, Randall C. O’Reilly, Robert A. Hauser, Christopher O’Brien, Lisa M. Deuel, Eric Molho, Stewart A. Factor, Jeffrey Friedlander, Charles H. Adler and Theresa Zesiewicz. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and 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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