Daniel Algom

6.1k citations
127 papers · 4.2k indexed · h-index 36

Daniel Algom

123 papers receiving 4.0k citations

Peers

Daniel Algom
Comparison fields: 5 of 149
  • General Decision Sciences 247
  • Cognitive Neuroscience 2.6k
  • Experimental and Cognitive Psychology 1.4k
  • Applied Psychology 357
  • Statistics and Probability 513
Replace Richard A. Block with:
Richard A. Block United States
Marc Wittmann Germany
Ruud Wetzels Netherlands
Philip M. Merikle Canada
Yuejia Luo China
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Ruth Kimchi Israel
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Citations per field
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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-authorship network

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
#Work
1 20247
2 20228
3 20191
4 20184
5 201711
6 201224
7 200934
8 200929
9 200924
10 2009165
11
TWO-DIGIT NUMBERS: HOW STRONG IS THE GLUE BINDING THEIR DIGITS?
20060
12
AUTOMATIC ACTIVATION OF NUMERICAL MAGNITUDE? EVIDENCE FROM JOINT DERIVATION OF SNARC AND SIZE CONGRUITY EFFECTS
20062
13 2003270
14 200220
15 200228
16 200151
17 200017
18 19957
19 199413
20 19924

About Daniel Algom

Daniel Algom is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Decision Sciences, having authored 127 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (35 papers), Visual perception and processing mechanisms (28 papers), Cognitive and developmental aspects of mathematical skills (25 papers), Multisensory perception and integration (24 papers), Neuroscience and Music Perception (14 papers), Hearing Loss and Rehabilitation (13 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 General Decision Sciences (247 citations), Cognitive Neuroscience (2.6k citations) and Experimental and Cognitive Psychology (1.4k 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, Elinor Amit and Yaniv Mama. 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 Cognition & Emotion.

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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