Todd Haskell

608 total citations
22 papers, 404 citations indexed

About

Todd Haskell is a scholar working on Developmental and Educational Psychology, Education and Language and Linguistics. According to data from OpenAlex, Todd Haskell has authored 22 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Developmental and Educational Psychology, 9 papers in Education and 7 papers in Language and Linguistics. Recurrent topics in Todd Haskell's work include Syntax, Semantics, Linguistic Variation (6 papers), Innovative Teaching and Learning Methods (5 papers) and Science Education and Pedagogy (5 papers). Todd Haskell is often cited by papers focused on Syntax, Semantics, Linguistic Variation (6 papers), Innovative Teaching and Learning Methods (5 papers) and Science Education and Pedagogy (5 papers). Todd Haskell collaborates with scholars based in United States. Todd Haskell's co-authors include Maryellen C. MacDonald, Sandeep Prasada, Robert J. Thornton, Mark S. Seidenberg, Marc F. Joanisse, Wade Goodridge and Cade D. Mansfield and has published in prestigious journals such as Cognition, Behavioral and Brain Sciences and Cognitive Psychology.

In The Last Decade

Todd Haskell

21 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd Haskell United States 9 239 214 118 78 58 22 404
Katherine I. Martin United States 7 215 0.9× 99 0.5× 116 1.0× 41 0.5× 64 1.1× 14 290
Yaling Hsiao United Kingdom 11 170 0.7× 114 0.5× 47 0.4× 55 0.7× 43 0.7× 18 268
Rihana S. Williams United States 8 393 1.6× 292 1.4× 95 0.8× 97 1.2× 61 1.1× 10 540
Sami Boudelaa United Kingdom 14 615 2.6× 445 2.1× 119 1.0× 192 2.5× 64 1.1× 28 817
Manuel Gimenes France 10 153 0.6× 112 0.5× 28 0.2× 64 0.8× 56 1.0× 18 271
Mira Peter New Zealand 11 157 0.7× 80 0.4× 12 0.1× 60 0.8× 141 2.4× 34 321
Samantha F. McCormick United Kingdom 8 350 1.5× 290 1.4× 30 0.3× 127 1.6× 35 0.6× 13 472
Etsuko Haryu Japan 10 397 1.7× 128 0.6× 56 0.5× 189 2.4× 30 0.5× 26 529
Sonja Eisenbeiß Germany 10 273 1.1× 207 1.0× 155 1.3× 103 1.3× 13 0.2× 24 398
Arnout Koornneef Netherlands 11 337 1.4× 375 1.8× 145 1.2× 202 2.6× 61 1.1× 22 616

Countries citing papers authored by Todd Haskell

Since Specialization
Citations

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

Fields of papers citing papers by Todd Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Haskell

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Haskell. A scholar is included among the top collaborators of Todd Haskell 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 Todd Haskell. Todd Haskell 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.
Haskell, Todd, et al.. (2024). Hands-On Statics to Improve Conceptual Understanding and Representational Competence. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations
2.
Haskell, Todd, et al.. (2024). Do They Need To See It To Learn It? Spatial Abilities, Representational Competence, and Conceptual Knowledge in Statics. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
3.
Haskell, Todd, et al.. (2024). Scaffolding Spatial Abilities in Integral Calculus. Papers on Engineering Education Repository (American Society for Engineering Education).
4.
Haskell, Todd, et al.. (2024). Hands on STEM Learning at Home with 3D-Printed Manipulatives. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 3 indexed citations
5.
Haskell, Todd, et al.. (2022). Cross-Disciplinary Learning: A Framework for Assessing Application of Concepts Across Science Disciplines. Journal of College Science Teaching. 52(1). 83–92. 1 indexed citations
6.
Haskell, Todd, et al.. (2022). Cross-disciplinary learning index: A quantitative measure of cross-disciplinary learning about energy. Physical Review Physics Education Research. 18(1). 1 indexed citations
7.
Haskell, Todd, et al.. (2021). Do They Need To See It To Learn It? Spatial Abilities, Representational Competence, and Conceptual Knowledge in Statics. 2 indexed citations
8.
Haskell, Todd, et al.. (2020). Feel the Force! An Inquiry-based Approach to Teaching Free-body Diagrams for Rigid-body Analysis. 2020 ASEE Virtual Annual Conference Content Access Proceedings. 8 indexed citations
9.
Haskell, Todd, et al.. (2020). Getting Your Hands Dirty in Integral Calculus. 2020 ASEE Virtual Annual Conference Content Access Proceedings. 3 indexed citations
10.
Haskell, Todd, et al.. (2020). Statics Modeling Kit: Hands-On Learning in the Flipped Classroom. 17 indexed citations
11.
Haskell, Todd, et al.. (2020). Do They Understand Your Language? Assess Their Fluency with Vector Representations. Papers on Engineering Education Repository (American Society for Engineering Education). 6 indexed citations
12.
Haskell, Todd, et al.. (2016). Use of a card sort task to assess students' ability to coordinate three levels of representation in chemistry. Chemistry Education Research and Practice. 17(2). 337–352. 25 indexed citations
13.
Haskell, Todd, et al.. (2012). The Value of a Psychology Major: Bridging the Gap between Perceptions and Reality. Psychology Learning & Teaching. 11(2). 158–170. 5 indexed citations
14.
Haskell, Todd, Robert J. Thornton, & Maryellen C. MacDonald. (2009). Experience and grammatical agreement: Statistical learning shapes number agreement production. Cognition. 114(2). 151–164. 56 indexed citations
15.
Seidenberg, Mark S., Maryellen C. MacDonald, & Todd Haskell. (2007). Semantics and phonology constrain compound formation. The Mental Lexicon. 2(3). 287–312. 10 indexed citations
16.
Haskell, Todd & Maryellen C. MacDonald. (2005). Constituent Structure and Linear Order in Language Production: Evidence From Subject-Verb Agreement.. Journal of Experimental Psychology Learning Memory and Cognition. 31(5). 891–904. 60 indexed citations
17.
Haskell, Todd. (2003). Language learning and innateness: Some implications of Compounds Research. Cognitive Psychology. 47(2). 119–163. 47 indexed citations
18.
Haskell, Todd & Maryellen C. MacDonald. (2003). Conflicting cues and competition in subject–verb agreement. Journal of Memory and Language. 48(4). 760–778. 91 indexed citations
19.
Prasada, Sandeep, et al.. (2002). Conceiving of entities as objects and as stuff. Cognition. 83(2). 141–165. 63 indexed citations
20.
Joanisse, Marc F. & Todd Haskell. (1999). The dual-mechanism model of inflectional morphology: A connectionist critique. Behavioral and Brain Sciences. 22(6). 1026–1027. 1 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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