Murray Glanzer

6.5k total citations · 1 hit paper
84 papers, 4.7k citations indexed

About

Murray Glanzer is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Murray Glanzer has authored 84 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 24 papers in Artificial Intelligence and 22 papers in Experimental and Cognitive Psychology. Recurrent topics in Murray Glanzer's work include Memory Processes and Influences (36 papers), Deception detection and forensic psychology (14 papers) and Visual and Cognitive Learning Processes (13 papers). Murray Glanzer is often cited by papers focused on Memory Processes and Influences (36 papers), Deception detection and forensic psychology (14 papers) and Visual and Cognitive Learning Processes (13 papers). Murray Glanzer collaborates with scholars based in United States, United Kingdom and South Korea. Murray Glanzer's co-authors include John K. Adams, Kisok Kim, John K. Adams, William H. Clark, Nancy L. Bowles, David Dorfman, Geoffrey Iverson, Susanne Ehrenreich, Robert Glaser and Beth Fischer and has published in prestigious journals such as Psychological Bulletin, Psychological Review and American Psychologist.

In The Last Decade

Murray Glanzer

81 papers receiving 4.1k citations

Hit Papers

Two storage mechanisms in free recall 1966 2026 1986 2006 1966 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Murray Glanzer United States 34 3.3k 1.3k 1.2k 1.2k 1.0k 84 4.7k
Michael J. Watkins United States 36 3.1k 0.9× 1.4k 1.0× 1.3k 1.1× 636 0.6× 847 0.8× 103 3.9k
Richard C. Atkinson United States 29 1.7k 0.5× 1.4k 1.1× 1.0k 0.8× 426 0.4× 929 0.9× 130 4.6k
Robert G. Crowder United States 41 4.4k 1.3× 1.9k 1.5× 2.7k 2.2× 681 0.6× 926 0.9× 111 6.1k
Wayne A. Wickelgren United States 32 3.0k 0.9× 1.2k 0.9× 1.3k 1.1× 429 0.4× 867 0.8× 66 4.3k
Douglas L. Hintzman United States 42 4.9k 1.5× 2.4k 1.8× 1.6k 1.3× 1.6k 1.4× 1.8k 1.7× 91 6.9k
James Deese United States 23 2.4k 0.7× 1.1k 0.9× 995 0.8× 1.3k 1.1× 857 0.8× 50 4.5k
William F. Battig United States 19 3.7k 1.1× 2.4k 1.9× 1.8k 1.5× 896 0.8× 1.2k 1.2× 81 6.2k
Leo Postman United States 36 2.1k 0.6× 1.5k 1.1× 1.1k 0.9× 615 0.5× 808 0.8× 128 4.2k
Robert L. Solso United States 18 3.0k 0.9× 1.9k 1.4× 1.8k 1.5× 867 0.8× 761 0.7× 69 5.3k
Stephen Madigan United States 14 2.1k 0.6× 1.2k 0.9× 1.1k 0.9× 460 0.4× 537 0.5× 31 3.3k

Countries citing papers authored by Murray Glanzer

Since Specialization
Citations

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

Fields of papers citing papers by Murray Glanzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murray Glanzer

This figure shows the co-authorship network connecting the top 25 collaborators of Murray Glanzer. A scholar is included among the top collaborators of Murray Glanzer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Murray Glanzer. Murray Glanzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Glanzer, Murray, et al.. (2019). Generality of likelihood ratio decisions. Cognition. 191. 103931–103931.
2.
Glanzer, Murray, et al.. (2018). One mirror effect: The regularities of recognition memory. Memory & Cognition. 47(2). 266–278. 5 indexed citations
3.
Maloney, Laurence T., et al.. (2015). Three regularities of recognition memory: the role of bias. Psychonomic Bulletin & Review. 22(6). 1646–1664. 3 indexed citations
4.
Glanzer, Murray, et al.. (2004). Six Regularities of Source Recognition.. Journal of Experimental Psychology Learning Memory and Cognition. 30(6). 1176–1195. 60 indexed citations
5.
Glanzer, Murray, Kisok Kim, & John K. Adams. (1998). Response distribution as an explanation of the mirror effect.. Journal of Experimental Psychology Learning Memory and Cognition. 24(3). 633–644. 13 indexed citations
6.
Glanzer, Murray, Kisok Kim, & John K. Adams. (1998). Response distribution as an explanation of the mirror effect.. Journal of Experimental Psychology Learning Memory and Cognition. 24(3). 633–644. 8 indexed citations
7.
Glanzer, Murray, et al.. (1997). Encoding, repetition, and the mirror effect in recognition memory: Symmetry in motion. Memory & Cognition. 25(5). 593–605. 24 indexed citations
8.
Kim, Kisok & Murray Glanzer. (1995). Intralist interference in recognition memory.. Journal of Experimental Psychology Learning Memory and Cognition. 21(5). 1096–1107. 7 indexed citations
9.
Kim, Kisok & Murray Glanzer. (1994). Attention/likelihood: Reply to Hintzman (1994).. Journal of Experimental Psychology Learning Memory and Cognition. 20(1). 206–208. 6 indexed citations
10.
Glanzer, Murray, John K. Adams, Geoffrey Iverson, & Kisok Kim. (1993). The regularities of recognition memory.. Psychological Review. 100(3). 546–567. 185 indexed citations
11.
Glanzer, Murray, John K. Adams, & Geoffrey Iverson. (1991). Forgetting and the mirror effect in recognition memory: Concentering of underlying distributions.. Journal of Experimental Psychology Learning Memory and Cognition. 17(1). 81–93. 40 indexed citations
12.
Glanzer, Murray & John K. Adams. (1990). The mirror effect in recognition memory: Data and theory.. Journal of Experimental Psychology Learning Memory and Cognition. 16(1). 5–16. 274 indexed citations
13.
Glanzer, Murray, et al.. (1990). An examination of the continuous distractor task and the “long-term recency effect”. Memory & Cognition. 18(2). 183–195. 35 indexed citations
14.
Glanzer, Murray & John K. Adams. (1984). Mirror effect in recognition memory. Bulletin of the Psychonomic Society. 22(4). 268. 1 indexed citations
15.
Glanzer, Murray. (1971). Short-term storage and long-term storage in recall. Journal of Psychiatric Research. 8(3-4). 423–438. 6 indexed citations
16.
Glanzer, Murray, Janellen Huttenlocher, & William H. Clark. (1962). Systematic Operations in Solving Concept Problems.. 5 indexed citations
17.
Glanzer, Murray. (1961). Progress Report for September-November 1961.. Defense Technical Information Center (DTIC). 1 indexed citations
18.
Glanzer, Murray & Robert Glaser. (1961). Techniques for the study of group structure and behavior: II. Empirical studies of the effects of structure in small groups.. Psychological Bulletin. 58(1). 1–27. 49 indexed citations
19.
Glanzer, Murray & Robert Glaser. (1959). Cross-Sectional and Longitudinal Results in a Study of Age-Related Changes1. Educational and Psychological Measurement. 19(1). 89–101. 11 indexed citations
20.
Glaser, Robert & Murray Glanzer. (1958). ABSTRACT OF TRAINING AND TRAINING 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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