Daniel Fellman

503 citations
22 papers · 329 · h-index 11

Impact in

Papers in

Daniel Fellman

19 papers receiving 325 citations

Peers

Daniel Fellman
Comparison fields: 5 of 63
  • Experimental and Cognitive Psychology 142
  • Cognitive Neuroscience 122
  • Developmental and Educational Psychology 55
  • Neuropsychology and Physiological Psychology 6
  • Psychiatry and Mental health 42
Replace Karin Bakračevič with:
Karin Bakračevič Slovenia
Νikolaos Makris Greece
Lavinia Cheie Romania
David Hulac United States
Sheila Black United States
Karolina M. Lukasik Finland
Eka Roivainen Finland
Lina M. Cómbita Spain
Γεωργία Παπαντωνίου Greece
Peter Baggetta United States
Daniel Fellman relative to Karin Bakračevič Slovenia Karin Bakračevič's profile →
Citations per field
00.5×1.5×2.3×
Karin Bakračevič · 1×
Citations per year

Countries citing papers authored by Daniel Fellman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daniel Fellman, 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 Daniel Fellman Line = papers co-authored together Daniel Fellman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201852
2 201946
3 202233
4 202032
5 201831
6 201625
7 202215
8 202014
9 202014
10 202013
11 202010
12 20208
13 20237
14 20207
15 20246
16 20176
17 20175
18 20214
19 20211
20 20240

About Daniel Fellman

Daniel Fellman is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Artificial Intelligence, Developmental and Educational Psychology and Physiology, having authored 22 papers that have together received 329 indexed citations. Recurring topics across this work include Cognitive Functions and Memory (10 papers), Cognitive Abilities and Testing (10 papers), Neural and Behavioral Psychology Studies (5 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Memory Processes and Influences (3 papers), Neurobiology of Language and Bilingualism (3 papers), Child and Animal Learning Development (3 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (142 citations), Cognitive Neuroscience (122 citations), Developmental and Educational Psychology (55 citations), Neuropsychology and Physiological Psychology (6 citations) and Psychiatry and Mental health (42 citations). Daniel Fellman has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Matti Laine, Otto Waris, Richard Bränström, John E. Pachankis, Jussi Jylkkä, Juha Salmi, Susanna Simberg, Juha O. Rinne, Anna Soveri and Bert Jonsson. Their work appears in journals such as Quarterly Journal of Experimental Psychology, Frontiers in Psychology, Scientific Reports, Journal of Voice and Neuropsychological Rehabilitation.

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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