Daniel Algom

6.2k citations
139 papers · 4.8k · h-index 38

Impact in

Papers in

Daniel Algom

135 papers receiving 4.6k citations

Peers

Daniel Algom
Comparison fields: 5 of 153
  • Cognitive Neuroscience 2.8k
  • General Decision Sciences 253
  • Experimental and Cognitive Psychology 1.6k
  • Applied Psychology 349
  • Sensory Systems 306
Replace Lorraine G. Allan with:
Lorraine G. Allan Canada
Jane E. Raymond United Kingdom
Rolf Ulrich Germany
Andrew J. Tomarken United States
Edward Vul United States
Robert D. Melara United States
Marc Wittmann Germany
Philip M. Merikle Canada
Manuel Gutiérrez Calvo Spain
Jessica Simon United States
Daniel Algom relative to Lorraine G. Allan Canada Lorraine G. Allan's profile →
Citations per field
00.5×2×4×5.3×
Lorraine G. Allan · 1×
Citations per year

Countries citing papers authored by Daniel Algom

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Algom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004446
2 2003284
3 2003276
4 2007237
5 2009168
6 1996135
7 2008115
8 1991102
9 1984100
10 199998
11 200095
12 198588
13 200284
14 198584
15 198181
16 198477
17 198075
18 199073
19 201668
20 200064

About Daniel Algom

Daniel Algom is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistics and Probability, Developmental and Educational Psychology and Sensory Systems, having authored 139 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (37 papers), Multisensory perception and integration (30 papers), Visual perception and processing mechanisms (27 papers), Cognitive and developmental aspects of mathematical skills (26 papers), Hearing Loss and Rehabilitation (16 papers), Neuroscience and Music Perception (15 papers), Child and Animal Learning Development (9 papers) and Mathematics Education and Teaching Techniques (9 papers). The work is most often cited by research in Cognitive Neuroscience (2.8k citations), General Decision Sciences (253 citations), Experimental and Cognitive Psychology (1.6k citations), Applied Psychology (349 citations) and Sensory Systems (306 citations). Daniel Algom has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Eran Chajut, Ainat Pansky, Robert D. Melara, Lawrence E. Marks, Yaacov Trope, Yuval Wolf, Daniel Fitousi, William S. Cain, Tzvi Ganel and Elinor Amit. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Journal of Experimental Psychology General, Memory & Cognition, Journal of Experimental Psychology Learning Memory and Cognition and Psychological Research.

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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