Benjamin C. Storm

3.0k citations
70 papers · 2.0k · h-index 25

Impact in

    • Memory Processes and Influences
    • Memory and Neural Mechanisms
    • Neural and Behavioral Psychology Studies
    • Creativity in Education and Neuroscience
    • Visual and Cognitive Learning Processes
    • Psychological and Educational Research Studies

Papers in

Benjamin C. Storm

70 papers receiving 2.0k citations

Peers

Benjamin C. Storm
Comparison fields: 5 of 113
  • Cognitive Neuroscience 1.5k
  • Experimental and Cognitive Psychology 761
  • Developmental and Educational Psychology 617
  • Artificial Intelligence 446
  • General Decision Sciences 22
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Citations per year

Countries citing papers authored by Benjamin C. Storm

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin C. Storm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin C. Storm. 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 Benjamin C. Storm. The network helps show where Benjamin C. Storm may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014149
2 2012144
3 2006136
4 2010108
5 2014108
6 201674
7 201172
8 201071
9 201758
10 200758
11 201055
12 201454
13 200854
14 201153
15 201449
16 201448
17 201241
18 200941
19 201240
20 201339

About Benjamin C. Storm

Benjamin C. Storm is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Artificial Intelligence and Information Systems and Management, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include Memory Processes and Influences (55 papers), Memory and Neural Mechanisms (18 papers), Visual and Cognitive Learning Processes (14 papers), Intelligent Tutoring Systems and Adaptive Learning (12 papers), Creativity in Education and Neuroscience (10 papers), Domain Adaptation and Few-Shot Learning (10 papers), Educational Strategies and Epistemologies (8 papers) and Psychological and Educational Research Studies (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Experimental and Cognitive Psychology (761 citations), Developmental and Educational Psychology (617 citations), Artificial Intelligence (446 citations) and General Decision Sciences (22 citations). Benjamin C. Storm has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Elizabeth Ligon Bjork, Robert A. Bjork, Genna Angello, Sean M. Stone, Benjamin J. Levy, John F. Nestojko, Kou Murayama, Toshiya Miyatsu, Jeri L. Little and Holly White. Their work appears in journals such as Memory, Quarterly Journal of Experimental Psychology, Journal of Experimental Psychology Learning Memory and Cognition, Memory & 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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