Annika Reinersmann

597 citations
14 papers · 442 · h-index 8

Impact in

Papers in

Annika Reinersmann

14 papers receiving 434 citations

Peers

Annika Reinersmann
Comparison fields: 5 of 44
  • Anesthesiology and Pain Medicine 287
  • Pharmacology 176
  • Neurology 59
  • Physiology 118
  • Human-Computer Interaction 25
Replace Caroline Koeppe with:
Caroline Koeppe Germany
Kate MacIver United Kingdom
Teija Silén Finland
Jenny Lewis United Kingdom
Felipe Fregni United States
Antonia F. Ten Brink Netherlands
Valeria Bellan Australia
Lalit Venkatesan United States
Marie-Philippe Harvey Canada
Aline Patrícia Brietzke Brazil
Annika Reinersmann relative to Caroline Koeppe Germany Caroline Koeppe's profile →
Citations per field
00.5×
Caroline Koeppe · 1×
Citations per year

Countries citing papers authored by Annika Reinersmann

Since Specialization
Citations

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

Fields of papers citing papers by Annika Reinersmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201394
2 201083
3 201280
4 201171
5 201348
6 201326
7 201615
8 20117
9 20216
10 20195
11 20143
12 20182
13 20231
14 20221

About Annika Reinersmann

Annika Reinersmann is a scholar working on Anesthesiology and Pain Medicine, Pharmacology, Cognitive Neuroscience, Neurology and Clinical Psychology, having authored 14 papers that have together received 442 indexed citations. Recurring topics across this work include Pain Management and Treatment (10 papers), Musculoskeletal pain and rehabilitation (6 papers), Transcranial Magnetic Stimulation Studies (3 papers), Pain Mechanisms and Treatments (2 papers), Autism Spectrum Disorder Research (1 paper), Orthopedic Surgery and Rehabilitation (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper) and Technology Use by Older Adults (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (287 citations), Pharmacology (176 citations), Neurology (59 citations), Physiology (118 citations) and Human-Computer Interaction (25 citations). Annika Reinersmann has collaborated with scholars based in Germany and Australia. Frequent co-authors include Christoph Maier, Elena K. Krumova, Sebastian Ocklenburg, Jule Frettlöh, Melanie Lenz, Onur Güntürkün, Oliver Höffken, Martin Tegenthoff, Silke Lissek and Philipp Stude. Their work appears in journals such as Pain, Neurology, PeerJ, European Child & Adolescent Psychiatry and Pain Management.

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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