Michael N. Jones

2.9k total citations
57 papers, 1.7k citations indexed

About

Michael N. Jones is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Michael N. Jones has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 27 papers in Cognitive Neuroscience and 11 papers in Developmental and Educational Psychology. Recurrent topics in Michael N. Jones's work include Topic Modeling (21 papers), Neurobiology of Language and Bilingualism (16 papers) and Natural Language Processing Techniques (13 papers). Michael N. Jones is often cited by papers focused on Topic Modeling (21 papers), Neurobiology of Language and Bilingualism (16 papers) and Natural Language Processing Techniques (13 papers). Michael N. Jones collaborates with scholars based in United States, Canada and United Kingdom. Michael N. Jones's co-authors include Brendan T. Johns, Gabriel Recchia, D. J. K. Mewhort, Jon Willits, Simon Dennis, Peter M. Todd, Thomas T. Hills, Vanessa Taler, Simon De Deyne and Melody Dye and has published in prestigious journals such as Trends in Cognitive Sciences, The Journal of the Acoustical Society of America and Psychological Medicine.

In The Last Decade

Michael N. Jones

56 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael N. Jones United States	26	741	657	436	350	170	57	1.7k
Petra Hendriks Netherlands	26	1.1k 1.5×	613 0.9×	1.1k 2.5×	641 1.8×	86 0.5×	153	2.6k
Michael N. Jones United States	19	500 0.7×	672 1.0×	461 1.1×	250 0.7×	161 0.9×	54	1.8k
Simon De Deyne Belgium	25	1.2k 1.6×	717 1.1×	741 1.7×	580 1.7×	108 0.6×	69	2.2k
Danielle Navarro Australia	27	780 1.1×	1.1k 1.6×	698 1.6×	472 1.3×	195 1.1×	127	2.7k
Damian Cruse United Kingdom	28	1.1k 1.6×	380 0.6×	299 0.7×	1.1k 3.1×	90 0.5×	60	3.7k
Alexander G. Huth United States	20	2.7k 3.6×	402 0.6×	332 0.8×	540 1.5×	91 0.5×	36	3.4k
Marco Marelli Italy	26	1.0k 1.4×	1.2k 1.9×	867 2.0×	548 1.6×	198 1.2×	125	2.7k
Idan Blank United States	23	1.5k 2.0×	394 0.6×	605 1.4×	274 0.8×	116 0.7×	33	1.9k
Chris McNorgan United States	15	888 1.2×	333 0.5×	570 1.3×	399 1.1×	79 0.5×	25	1.4k
Christopher T. Kello United States	27	1.7k 2.4×	638 1.0×	1.1k 2.6×	689 2.0×	133 0.8×	93	2.8k

Countries citing papers authored by Michael N. Jones

Since Specialization

Citations

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

Fields of papers citing papers by Michael N. Jones

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael N. Jones. 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 Michael N. Jones. The network helps show where Michael N. Jones may publish in the future.

Co-authorship network of co-authors of Michael N. Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Michael N. Jones. A scholar is included among the top collaborators of Michael N. Jones 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 Michael N. Jones. Michael N. Jones 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

Lundin, Nancy B., et al.. (2022). Semantic and phonetic similarity of verbal fluency responses in early-stage psychosis. Psychiatry Research. 309. 114404–114404. 10 indexed citations

Lundin, Nancy B., et al.. (2020). Semantic Search in Psychosis: Modeling Local Exploitation and Global Exploration. Schizophrenia Bulletin Open. 1(1). sgaa011–sgaa011. 16 indexed citations

Wulff, Dirk U., Simon De Deyne, Michael N. Jones, & Rui Mata. (2019). New Perspectives on the Aging Lexicon. Trends in Cognitive Sciences. 23(8). 686–698. 97 indexed citations

Jamieson, Randall K., et al.. (2018). An Instance Theory of Distributional Semantics.. Cognitive Science. 2 indexed citations

Minor, Kyle S., et al.. (2018). Measuring disorganized speech in schizophrenia: automated analysis explains variance in cognitive deficits beyond clinician-rated scales. Psychological Medicine. 49(3). 440–448. 46 indexed citations

Rubin, Timothy N., Oluwasanmi Koyejo, Krzysztof J. Gorgolewski, et al.. (2017). Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. PLoS Computational Biology. 13(10). e1005649–e1005649. 83 indexed citations

Dye, Melody, Michael N. Jones, & Richard M. Shiffrin. (2017). Vanishing the mirror effect: The influence of prior history & list composition on recognition memory.. Cognitive Science. 1 indexed citations

Johns, Brendan T., Vanessa Taler, David B. Pisoni, et al.. (2017). Cognitive modeling as an interface between brain and behavior: Measuring the semantic decline in mild cognitive impairment.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 72(2). 117–126. 17 indexed citations

Dye, Melody, Brendan T. Johns, Michael N. Jones, & Michael Ramscar. (2016). The Structure of Names in Memory: Deviations from Uniform Entropy Impair Memory for Linguistic Sequences.. Cognitive Science. 3 indexed citations

10.

Willits, Jon, Michael N. Jones, & David Landy. (2016). Learning that numbers are the same, while learning that they are different.. Cognitive Science. 4 indexed citations

11.

Rubin, Timothy N., Oluwasanmi Koyejo, Michael N. Jones, & Tal Yarkoni. (2016). Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain. Neural Information Processing Systems. 29. 1126–1134. 6 indexed citations

12.

Johns, Brendan T., Randall K. Jamieson, Matthew P. Crump, Michael N. Jones, & D. J. K. Mewhort. (2016). The Combinatorial Power of Experience.. Cognitive Science. 3 indexed citations

13.

Jones, Michael N., Jon Willits, & Simon Dennis. (2015). Models of Semantic Memory. Oxford University Press eBooks. 105 indexed citations

14.

Johns, Brendan T., Melody Dye, & Michael N. Jones. (2014). The Influence of Contextual Variability in Word Learning.. Cognitive Science. 1 indexed citations

15.

Jones, Michael N., et al.. (2012). Visualizing multiple word similarity measures. Behavior Research Methods. 44(3). 656–674. 13 indexed citations

16.

Johns, Brendan T., Michael N. Jones, & D. J. K. Mewhort. (2012). A synchronization account of false recognition. Cognitive Psychology. 65(4). 486–518. 36 indexed citations

17.

Jones, Michael N., et al.. (2011). The Semantic Pictionary Project. Cognitive Science. 33(33). 8 indexed citations

18.

Holtzman, Nicholas S., John Paul Schott, Michael N. Jones, David A. Balota, & Tal Yarkoni. (2010). Exploring media bias with semantic analysis tools: validation of the Contrast Analysis of Semantic Similarity (CASS). Behavior Research Methods. 43(1). 193–200. 26 indexed citations

19.

Johns, Brendan T. & Michael N. Jones. (2010). Evaluating the random representation assumption of lexical semantics in cognitive models. Psychonomic Bulletin & Review. 17(5). 662–672. 31 indexed citations

20.

Recchia, Gabriel & Michael N. Jones. (2009). More data trumps smarter algorithms: Comparing pointwise mutual information with latent semantic analysis. Behavior Research Methods. 41(3). 647–656. 105 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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