Marilyn Ford

6.6k total citations · 2 hit papers
28 papers, 4.1k citations indexed

About

Marilyn Ford is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Communication. According to data from OpenAlex, Marilyn Ford has authored 28 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Developmental and Educational Psychology and 5 papers in Communication. Recurrent topics in Marilyn Ford's work include Knowledge Management and Sharing (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Logic, Reasoning, and Knowledge (4 papers). Marilyn Ford is often cited by papers focused on Knowledge Management and Sharing (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Logic, Reasoning, and Knowledge (4 papers). Marilyn Ford collaborates with scholars based in Australia, United Kingdom and United States. Marilyn Ford's co-authors include Kristien Dieussaert, Leon Horsten, Joan Bresnan, Virginia M. Holmes, René Hexel, Anne Nguyen, David P. Billington, Mary Dalrymple, David Parker and Alan Underwood and has published in prestigious journals such as Cognition, Language and Journal of the Association for Information Systems.

In The Last Decade

Marilyn Ford

28 papers receiving 3.6k citations

Hit Papers

Mental models : Towards a cognitive science of language, ... 1985 2026 1998 2012 1985 2004 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marilyn Ford Australia 11 1.2k 1.1k 1.0k 906 592 28 4.1k
John B. Black United States 25 1.7k 1.3× 1.2k 1.1× 815 0.8× 999 1.1× 620 1.0× 99 4.1k
Dominic W. Massaro United States 9 813 0.7× 586 0.5× 929 0.9× 815 0.9× 650 1.1× 9 4.1k
Thomas R. Shultz Canada 36 1.5k 1.2× 600 0.6× 706 0.7× 980 1.1× 1.1k 1.9× 161 3.8k
Jon Oberlander United Kingdom 37 883 0.7× 861 0.8× 2.4k 2.3× 635 0.7× 569 1.0× 143 4.7k
Rand J. Spiro United States 23 2.6k 2.1× 1.2k 1.1× 815 0.8× 619 0.7× 616 1.0× 59 5.0k
Robert W. Weisberg United States 27 819 0.7× 2.3k 2.1× 456 0.4× 1.2k 1.3× 483 0.8× 119 4.0k
Mary L. Gick Canada 20 2.2k 1.8× 1.4k 1.3× 931 0.9× 756 0.8× 617 1.0× 34 5.0k
Brian H. Ross United States 36 3.4k 2.7× 2.1k 1.9× 1.8k 1.7× 1.6k 1.7× 1.0k 1.7× 96 6.7k
Ruth M. J. Byrne Ireland 32 1.2k 1.0× 759 0.7× 1.9k 1.8× 1.3k 1.4× 539 0.9× 122 4.6k
Miriam Bassok United States 24 1.7k 1.4× 971 0.9× 650 0.6× 389 0.4× 406 0.7× 46 3.6k

Countries citing papers authored by Marilyn Ford

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilyn Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn Ford. A scholar is included among the top collaborators of Marilyn Ford 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 Marilyn Ford. Marilyn Ford 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.
Ford, Marilyn & Joan Bresnan. (2015). Generating data as a proxy for unavailable corpus data: the contextualized sentence completion task. Corpus Linguistics and Linguistic Theory. 11(1). 3 indexed citations
2.
Bresnan, Joan, et al.. (2011). In a land far, far away…. edoc Publication server (Humboldt University of Berlin). 1 indexed citations
3.
Bresnan, Joan & Marilyn Ford. (2010). Predicting Syntax: Processing Dative Constructions in American and Australian Varieties of English. Language. 86(1). 168–213. 207 indexed citations
4.
Ford, Marilyn, et al.. (2010). Assessing the Success of an Introductory Programming Course. Journal of Information Technology Education Research. 9. 133–145. 27 indexed citations
5.
Ford, Marilyn, et al.. (2009). Development of an instrument to measure theoretical constructs of a model of citizens' trust in e-Government. Griffith Research Online (Griffith University, Queensland, Australia). 65–77. 2 indexed citations
6.
Ford, Marilyn, et al.. (2009). Conceptualising Citizen's Trust in e-Government: Application of Q Methodology. Griffith Research Online (Griffith University, Queensland, Australia). 1(4). 204–230. 46 indexed citations
7.
Ford, Marilyn, et al.. (2008). Highs and Lows of Implementing a Management Strategy Eliminating ‘Free Passengers’ in Group Projects. Issues in Informing Science and Information Technology. 5. 1–10. 1 indexed citations
8.
Ford, Marilyn, et al.. (2008). A Conceptual Model of Citizens’ Trust in e-Government. Griffith Research Online (Griffith University, Queensland, Australia). 35–42. 3 indexed citations
9.
Underwood, Alan, et al.. (2005). Determining the constructs for a survey instrument to examine knowledge sharing behaviour in IT project environments.. Griffith Research Online (Griffith University, Queensland, Australia). 3 indexed citations
10.
Ford, Marilyn. (2005). On using human nonmonotonic reasoning to inform artificial systems. Psychologica Belgica. 45(1). 57–57. 5 indexed citations
11.
Dieussaert, Kristien, Marilyn Ford, & Leon Horsten. (2004). Influencing nonmonotonic reasoning by modifier strength manipulation. Cognitive Science. 26(26). 1 indexed citations
12.
Ford, Marilyn. (2004). System LS: A Three‐Tiered Nonmonotonic Reasoning System. Computational Intelligence. 20(1). 89–108. 14 indexed citations
13.
Ford, Marilyn, et al.. (2004). A Single Case Study Approach to Teaching: Effects on Learning and Understanding. Informing Science and IT Education Conference. 7 indexed citations
14.
Ford, Marilyn, et al.. (2004). A Single Case Study Approach to Teaching: Effects on Learning and Understanding. Issues in Informing Science and Information Technology. 1. 359–372. 3 indexed citations
15.
Ford, Marilyn, et al.. (2003). A Study of Cases: Evaluating Requirements. Journal of the Association for Information Systems. 4 indexed citations
16.
Ford, Marilyn, et al.. (2003). Using Micro Management Techniques to Overcome Problems in Group Assignments. Informing Science and IT Education Conference. 7 indexed citations
17.
Ford, Marilyn. (1995). Two modes of mental representation and problem solution in syllogistic reasoning. Cognition. 54(1). 1–71. 100 indexed citations
18.
Ford, Marilyn, et al.. (1987). The time course of co-indexation during sentence comprehension. 10 indexed citations
19.
Ford, Marilyn. (1985). Mental models : Towards a cognitive science of language, inference, and consciousness. By Philip N. Johnson-Laird (Cognitive science series, 6.) Cambridge, MA: Harvard University Press, 1983. Pp. 528. $25.00.. Language. 61(4). 897–903. 2863 indexed citations breakdown →
20.
Ford, Marilyn & Virginia M. Holmes. (1978). Planning units and syntax in sentence production. Cognition. 6(1). 35–53. 103 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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