David Schindler

31 papers receiving 622 citations

Peers

David Schindler
Comparison fields: 5 of 96
  • Physical Therapy, Sports Therapy and Rehabilitation 81
  • General Decision Sciences 33
  • Pathology and Forensic Medicine 257
  • Neurology 124
  • Psychiatry and Mental health 88
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Anna Maria Simone Italy
Carrie L. Morris United States
Sally A. M. Fenton United Kingdom
Sangeetha Padalabalanarayanan United States
Julia M. Balto United States
SJ Cano United Kingdom
G. Shankar Ganesh India
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Citations per year

Countries citing papers authored by David Schindler

Since Specialization
Citations

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

Fields of papers citing papers by David Schindler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20238
3 20236
4 20214
5 20200
6 20191
7 201946
8 20193
9 20197
10
Randomization for Clinical Trials [R package randomizeR version 2.0.0]
20192
11 20180
12 201813
13 2017117
14 20163
15 201624
16 201547
17 201583
18 201423
19 201486
20 20141

About David Schindler

David Schindler is a scholar working on General Decision Sciences, Safety Research, Physical Therapy, Sports Therapy and Rehabilitation, Psychiatry and Mental health and Finance, having authored 33 papers that have together received 631 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (8 papers), Multiple Sclerosis Research Studies (7 papers), Decision-Making and Behavioral Economics (5 papers), Cerebral Palsy and Movement Disorders (5 papers), Financial Markets and Investment Strategies (4 papers), Balance, Gait, and Falls Prevention (3 papers), Suicide and Self-Harm Studies (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (81 citations), General Decision Sciences (33 citations), Pathology and Forensic Medicine (257 citations), Neurology (124 citations) and Psychiatry and Mental health (88 citations). David Schindler has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jay L. Alberts, Stephen M. Rao, Richard A. Rudick, Christine Reece, François Béthoux, Deborah Miller, Susan M. Linder, Martin G. Kocher, Mandy Miller Koop and Anil K. Thota. Their work appears in journals such as Neurology, Multiple Sclerosis Journal, Journal of Visualized Experiments, The Review of Economics and Statistics and Advances in 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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