Danielle Hoffmann

503 citations
18 papers · 344 · h-index 10

Impact in

Papers in

Danielle Hoffmann

18 papers receiving 337 citations

Peers

Danielle Hoffmann
Comparison fields: 5 of 35
  • Statistics and Probability 294
  • Developmental and Educational Psychology 144
  • Cognitive Neuroscience 103
  • Automotive Engineering 64
  • Education 154
Replace Dana Ganor-Stern with:
Dana Ganor-Stern Israel
Michal Pinhas Israel
Seppe Santens Belgium
Paula Salmi Finland
Sarah Keeble United Kingdom
Maciej Haman Poland
Meijke E. Kolkman Netherlands
Stijn De Rammelaere Belgium
Julie Castronovo United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Danielle Hoffmann, 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 Hoffmann Line = papers co-authored together Danielle Hoffmann links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201387
2 201457
3 201435
4 201634
5 201726
6 201425
7 201417
8 201216
9 201713
10 20219
11 20068
12 20187
13
Lepton Pair Monte Carlo Generators for HERA Physics
19993
14 20152
15
Cognitive style influences number-space associations
20142
16
The interaction between number and space processing and math achievement in adults
20121
17
The impact of inhibition capacities on number-space associations in young and elderly adults
20131
18
Different number-processing tasks entail qualitatively different SNARC effects
20141

About Danielle Hoffmann

Danielle Hoffmann is a scholar working on Statistics and Probability, Education, Developmental and Educational Psychology, Cognitive Neuroscience and Applied Mathematics, having authored 18 papers that have together received 344 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (15 papers), Mathematics Education and Teaching Techniques (7 papers), Reading and Literacy Development (6 papers), Mathematics Education and Pedagogy (2 papers), Motor Control and Adaptation (2 papers), Spatial Neglect and Hemispheric Dysfunction (2 papers), Particle physics theoretical and experimental studies (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Statistics and Probability (294 citations), Developmental and Educational Psychology (144 citations), Cognitive Neuroscience (103 citations), Automotive Engineering (64 citations) and Education (154 citations). Danielle Hoffmann has collaborated with scholars based in Luxembourg, Belgium and Germany. Frequent co-authors include Christine Schiltz, Romain Martin, Caroline Hornung, Christophe Mussolin, Delia Pigat, Anne-Marie Schuller, Valérie Goffaux, Dieter Schams, Christine Aurich and Johannes Handler. Their work appears in journals such as Journal of Experimental Child Psychology, Frontiers in Psychology, Acta Psychologica, Cognitive Development and Theriogenology.

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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