Richard Schweickert

3.0k total citations
60 papers, 2.4k citations indexed

About

Richard Schweickert is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Richard Schweickert has authored 60 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 26 papers in Cognitive Neuroscience and 15 papers in Experimental and Cognitive Psychology. Recurrent topics in Richard Schweickert's work include Memory Processes and Influences (10 papers), Neural and Behavioral Psychology Studies (10 papers) and Visual and Cognitive Learning Processes (8 papers). Richard Schweickert is often cited by papers focused on Memory Processes and Influences (10 papers), Neural and Behavioral Psychology Studies (10 papers) and Visual and Cognitive Learning Processes (8 papers). Richard Schweickert collaborates with scholars based in United States, Canada and United Kingdom. Richard Schweickert's co-authors include James T. Townsend, Steven Roodenrys, Gordon D. A. Brown, Charles Hulme, George Stuart, Sarah Martin, Robert W. Proctor, Mei-Ching Lien, Ehtibar N. Dzhafarov and Shengbao Chen and has published in prestigious journals such as Science, Psychological Bulletin and Psychological Science.

In The Last Decade

Richard Schweickert

57 papers receiving 2.2k citations

Peers

Richard Schweickert

DEP

ECP

Ian Neath United States

Pablo Gómez United States

Richard Shillcock United Kingdom

Jon M. Fincham United States

David M. Riefer United States

Xingshan Li China

John Paul Minda Canada

Seth Roberts United States

Edwin Martin United States

Candice C. Morey United Kingdom

Ian Neath United States

Richard Schweickert

2.8k ×1.6

1.1k ×1.2

DEP

994 ×1.7

ECP

672 ×1.2

336 ×1.5

Citations per year, relative to Richard Schweickert Richard Schweickert (= 1×) peers Ian Neath

Countries citing papers authored by Richard Schweickert

Since Specialization

Citations

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

Fields of papers citing papers by Richard Schweickert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Schweickert

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Schweickert. A scholar is included among the top collaborators of Richard Schweickert 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 Richard Schweickert. Richard Schweickert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zheng, Xiaofang, Richard Schweickert, & Mengjiao Song. (2024). Automatic dream content analysis finds effects of gender, age, and blindness on word use.. Dreaming. 35(1). 68–85.

Zheng, Xiaofang & Richard Schweickert. (2022). Differentiating dreaming and waking reports with automatic text analysis and Support Vector Machines. Consciousness and Cognition. 107. 103439–103439. 4 indexed citations

Schweickert, Richard, et al.. (2016). Two topics in Tree Inference: Locating a phonological network effect in immediate recall and arborescence partitive set form. Journal of Mathematical Psychology. 71. 7–21. 5 indexed citations

Schweickert, Richard, et al.. (2014). Parallel effects of memory set activation and search on timing and working memory capacity. Frontiers in Psychology. 5. 779–779. 5 indexed citations

Schweickert, Richard, et al.. (2013). Estimating averages from distributions of tone durations. Attention Perception & Psychophysics. 76(2). 605–620. 11 indexed citations

Schweickert, Richard, et al.. (2010). Self-timing in Memory and Visual Search Tasks. CogPrints (University of Southampton). 26(1). 357–362. 1 indexed citations

Fortin, Claudette, et al.. (2010). Timing is affected by demands in memory search but not by task switching.. Journal of Experimental Psychology Human Perception & Performance. 36(3). 580–595. 22 indexed citations

Schweickert, Richard, et al.. (2010). Metamorphosed Characters in Dreams: Constraints of Conceptual Structure and Amount of Theory of Mind. Cognitive Science. 34(4). 665–684. 5 indexed citations

Schweickert, Richard. (2007). Properties of the organization of memory for people: Evidence from dream reports. Psychonomic Bulletin & Review. 14(2). 270–276. 6 indexed citations

10.

Lien, Mei-Ching, Richard Schweickert, & Robert W. Proctor. (2003). Task switching and response correspondence in the psychological refractory period paradigm.. Journal of Experimental Psychology Human Perception & Performance. 29(3). 692–712. 70 indexed citations

11.

Li, Xiaojian, Richard Schweickert, & Jack Gandour. (2000). The phonological similarity effect in immediate recall: Positions of shared phonemes. Memory & Cognition. 28(7). 1116–1125. 18 indexed citations

12.

Schweickert, Richard, et al.. (1999). Response time distributions: Some simple effects of factors selectively influencing mental processes. Psychonomic Bulletin & Review. 6(2). 269–288. 17 indexed citations

13.

Hulme, Charles, Steven Roodenrys, Richard Schweickert, et al.. (1997). Word-frequency effects on short-term memory tasks: Evidence for a redintegration process in immediate serial recall.. Journal of Experimental Psychology Learning Memory and Cognition. 23(5). 1217–1232. 318 indexed citations

14.

Hulme, Charles, et al.. (1997). Word-frequency effects on short-term memory tasks: Evidence for a redintegration process in immediate serial recall.. Journal of Experimental Psychology Learning Memory and Cognition. 23(5). 1217–1232. 109 indexed citations

15.

Dutta, Addie, et al.. (1995). Cross-task cross talk in memory and perception. Acta Psychologica. 90(1-3). 49–62. 9 indexed citations

16.

Schweickert, Richard. (1993). A multinomial processing tree model for degradation and redintegration in immediate recall. Memory & Cognition. 21(2). 168–175. 264 indexed citations

17.

Schweickert, Richard & Zhongqi Wang. (1993). Effects on response time of factors selectively influencing processes in acyclic task network with OR gates. British Journal of Mathematical and Statistical Psychology. 46(1). 1–30. 13 indexed citations

18.

Schweickert, Richard, et al.. (1990). Phonological Similarity, Pronunciation Rate, and Memory Span. Psychological Science. 1(1). 74–77. 75 indexed citations

19.

Schweickert, Richard & James T. Townsend. (1989). A trichotomy: Interactions of factors prolonging sequential and concurrent mental processes in stochastic discrete mental (PERT) networks. Journal of Mathematical Psychology. 33(3). 328–347. 113 indexed citations

20.

Schweickert, Richard. (1984). The Representation of Mental Activities in Critical Path Networks. Annals of the New York Academy of Sciences. 423(1). 82–95. 2 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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