Sam C. Brown

1.8k total citations · 1 hit paper
33 papers, 1.4k citations indexed

About

Sam C. Brown is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Sam C. Brown has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Developmental and Educational Psychology, 9 papers in Artificial Intelligence and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Sam C. Brown's work include Behavioral and Psychological Studies (12 papers), Innovative Teaching and Learning Methods (6 papers) and Visual and Cognitive Learning Processes (4 papers). Sam C. Brown is often cited by papers focused on Behavioral and Psychological Studies (12 papers), Innovative Teaching and Learning Methods (6 papers) and Visual and Cognitive Learning Processes (4 papers). Sam C. Brown collaborates with scholars based in United States and Canada. Sam C. Brown's co-authors include David C. Geary, Charles P. Thompson, Daniel L. Roenker, V. A. Samaranayake, William F. Battig, Douglas L. Nelson, J. Don Read, William L. Davis, Penny Brown and John H. Mueller and has published in prestigious journals such as Psychological Bulletin, SHILAP Revista de lepidopterología and Developmental Psychology.

In The Last Decade

Sam C. Brown

29 papers receiving 1.2k citations

Hit Papers

Comparison of measures for the estimation of clustering i... 1971 2026 1989 2007 1971 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam C. Brown United States 11 773 540 503 389 328 33 1.4k
Sandra S. Smiley United States 12 998 1.3× 263 0.5× 138 0.3× 359 0.9× 409 1.2× 20 1.3k
Lynda K. Hall United States 15 873 1.1× 634 1.2× 323 0.6× 282 0.7× 323 1.0× 21 1.3k
Jeremy M. Anglin Canada 14 1.2k 1.6× 286 0.5× 268 0.5× 268 0.7× 345 1.1× 21 1.5k
Donald J. Tyrrell United States 7 665 0.9× 357 0.7× 117 0.2× 252 0.6× 179 0.5× 18 952
Dale M. Willows Canada 19 2.0k 2.6× 559 1.0× 633 1.3× 309 0.8× 1.2k 3.7× 38 2.6k
Edith D. Neimark United States 17 488 0.6× 218 0.4× 142 0.3× 233 0.6× 196 0.6× 42 968
Betty Ann Levy Canada 30 2.1k 2.8× 1.4k 2.7× 407 0.8× 556 1.4× 741 2.3× 58 2.9k
Bernice Y. L. Wong Canada 30 1.8k 2.3× 219 0.4× 420 0.8× 238 0.6× 1.3k 4.1× 70 2.4k
Harry Beilin United States 19 493 0.6× 164 0.3× 198 0.4× 233 0.6× 267 0.8× 71 1.0k
Anna V. Fisher United States 22 1.1k 1.5× 469 0.9× 201 0.4× 373 1.0× 352 1.1× 94 1.7k

Countries citing papers authored by Sam C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Sam C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam C. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Sam C. Brown. A scholar is included among the top collaborators of Sam C. Brown 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 Sam C. Brown. Sam C. Brown 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
2.
Geary, David C. & Sam C. Brown. (1991). Cognitive addition: Strategy choice and speed-of-processing differences in gifted, normal, and mathematically disabled children.. Developmental Psychology. 27(3). 398–406. 234 indexed citations
3.
Geary, David C. & Sam C. Brown. (1991). Cognitive addition: Strategy choice and speed-of-processing differences in gifted, normal, and mathematically disabled children.. Developmental Psychology. 27(3). 398–406. 10 indexed citations
4.
Brown, Sam C., et al.. (1991). Clustering and recall: Do high clusterers recall more than low clusterers because of clustering?. Journal of Experimental Psychology Learning Memory and Cognition. 17(4). 710–721. 9 indexed citations
5.
Brown, Sam C., et al.. (1991). Clustering and recall: Do high clusterers recall more than low clusterers because of clustering?. Journal of Experimental Psychology Learning Memory and Cognition. 17(4). 710–721. 14 indexed citations
6.
Brown, Sam C., et al.. (1977). Item strength and input location in free-recall learning.. Journal of Experimental Psychology Human Learning & Memory. 3(1). 109–118. 4 indexed citations
7.
Mueller, John H. & Sam C. Brown. (1977). Output Interference and Intralist Repetition in Free Recall. The American Journal of Psychology. 90(1). 157–157. 2 indexed citations
8.
Mueller, John H., Sam C. Brown, & Donald H. Kausler. (1975). Paired-associate transfer with homograph stimuli.. Journal of Experimental Psychology Human Learning & Memory. 1(2). 167–172. 3 indexed citations
9.
Mueller, John H., Sam C. Brown, & Donald H. Kausler. (1975). Paired-associate transfer with homograph stimuli.. Journal of Experimental Psychology Human Learning & Memory. 1(2). 167–172.
10.
Brown, Sam C., et al.. (1974). Comparison of output order in free recall. Behavior Research Methods. 6(4). 385–388. 20 indexed citations
11.
Brown, Sam C., et al.. (1974). Positive and negative recency effects in free recall learning. Journal of Verbal Learning and Verbal Behavior. 13(3). 328–334. 28 indexed citations
12.
Roenker, Daniel L., Charles P. Thompson, & Sam C. Brown. (1971). Comparison of measures for the estimation of clustering in free recall.. Psychological Bulletin. 76(1). 45–48. 635 indexed citations breakdown →
13.
Brown, Sam C., et al.. (1969). Effect of intralist categorization on paired-associate learning. Journal of Verbal Learning and Verbal Behavior. 8(3). 403–409. 1 indexed citations
14.
Brown, Sam C., et al.. (1968). Intralist categorization in paired-associate learning. Psychonomic Science. 10(10). 345–346. 2 indexed citations
15.
Davis, William L., et al.. (1968). Cue selection as a function of degree of learning and response similarity.. Journal of Experimental Psychology. 78(2, Pt.1). 323–328. 9 indexed citations
16.
Brown, Sam C.. (1968). Role of stimulus-term and serial-position cues in constant-order paired-associate learning.. Journal of Experimental Psychology. 77(2). 269–274. 2 indexed citations
17.
Brown, Sam C., et al.. (1967). Constant versus varied serial order in paired-associate learning: The effect of formal intralist similarity.. Journal of Experimental Psychology. 73(2). 257–262. 4 indexed citations
18.
Brown, Sam C., et al.. (1967). Cue utilization in serial learning.. Journal of Experimental Psychology. 74(4, Pt.1). 550–555. 5 indexed citations
19.
Brown, Sam C. & William F. Battig. (1966). Supplementary report: Second-list paired-associate facilitation produced by addition of previously learned first-list pairs. Journal of Verbal Learning and Verbal Behavior. 5(3). 320–321. 1 indexed citations
20.
Brown, Sam C., et al.. (1965). Effect of successive addition of stimulus elements on paired-associate learning.. Journal of Experimental Psychology. 70(1). 87–93. 5 indexed citations

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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