Norman Guttman

1.6k citations
14 papers · 1.2k · 1 hit paper · h-index 12

Impact in

Papers in

Norman Guttman

14 papers receiving 1.0k citations

Norman Guttman's Hit Papers

Discriminability and stimulus generalization. 1956 · 498 citations
4980+23+46Years since publication100200300400

Peers

Norman Guttman
Comparison fields: 5 of 101
  • Developmental and Educational Psychology 584
  • Cognitive Neuroscience 392
  • Small Animals 140
  • Statistics and Probability 135
  • Behavioral Neuroscience 54
Replace Milton A. Trapold with:
Milton A. Trapold United States
Frank A. Logan United States
Charles C. Perkins United States
Gail B. Peterson United States
Mark Rilling United States
Harry I. Kalish United States
Donald A. Riley United States
D. F. Hake United States
H. M. Jenkins Canada
W. N. Schoenfeld United States
Norman Guttman relative to Milton A. Trapold United States Milton A. Trapold's profile →
Citations per field
00.5×
Milton A. Trapold · 1×
Citations per year

Countries citing papers authored by Norman Guttman

Since Specialization
Citations

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

Fields of papers citing papers by Norman Guttman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Norman Guttman, 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 Norman Guttman Line = papers co-authored together Norman Guttman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Discriminability and stimulus generalization.
Hit paper breakdown →
1956498
2 1953173
3 197589
4 195479
5 195472
6 195657
7 195955
8 195955
9 195751
10 195934
11 195817
12 197713
13 19613
14 19731

About Norman Guttman

Norman Guttman is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Pharmacology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Behavioral and Psychological Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (1 paper), Treatment of Major Depression (1 paper), Statistical Methods in Clinical Trials (1 paper), Cognitive Abilities and Testing (1 paper), Evaluation of Teaching Practices (1 paper), Neural Networks and Applications (1 paper) and Cognitive and developmental aspects of mathematical skills (1 paper). The work is most often cited by research in Developmental and Educational Psychology (584 citations), Cognitive Neuroscience (392 citations), Small Animals (140 citations), Statistics and Probability (135 citations) and Behavioral Neuroscience (54 citations). Norman Guttman has collaborated with scholars based in United States. Frequent co-authors include Harry I. Kalish, Gregory A. Kimble, Werner K. Honig, David R. Thomas and Harley M. Hanson. Their work appears in journals such as American Psychologist, Scientific American, Psychological Reports, Journal of the Experimental Analysis of Behavior and Journal of Comparative and Physiological Psychology.

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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