Doris B. Chin

2.0k total citations
26 papers, 1.5k citations indexed

About

Doris B. Chin is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Doris B. Chin has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Developmental and Educational Psychology, 6 papers in Artificial Intelligence and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Doris B. Chin's work include Innovative Teaching and Learning Methods (7 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Teaching and Learning Programming (6 papers). Doris B. Chin is often cited by papers focused on Innovative Teaching and Learning Methods (7 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Teaching and Learning Programming (6 papers). Doris B. Chin collaborates with scholars based in United States, Canada and France. Doris B. Chin's co-authors include Daniel L. Schwartz, Marily Oppezzo, Catherine C. Chase, Richard W. Michelmore, Blake C. Meyers, Dean Lavelle, Katherine A. Shen, Kristen Pilner Blair, Zhen Zhang and S. Sivaramakrishnan and has published in prestigious journals such as The Plant Cell, Genetics and Journal of Educational Psychology.

In The Last Decade

Doris B. Chin

25 papers receiving 1.4k citations

Peers

Doris B. Chin

DEP

EDUCA

CSA

Qiwei He China

Dilin Liu China

W.D. Lane Canada

Si Zhang China

Lei Bao China

Stephen J. Croker United Kingdom

Sean C. Duncan United States

Qingtang Liu China

Corey Brady United States

Susan R. Singer United States

Qiwei He China

Doris B. Chin

178 ×0.3

131 ×0.3

DEP

69 ×0.2

EDUCA

157 ×0.6

CSA

179 ×0.8

Citations per year, relative to Doris B. Chin Doris B. Chin (= 1×) peers Qiwei He

Countries citing papers authored by Doris B. Chin

Since Specialization

Citations

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

Fields of papers citing papers by Doris B. Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doris B. Chin. 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 Doris B. Chin. The network helps show where Doris B. Chin may publish in the future.

Co-authorship network of co-authors of Doris B. Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Doris B. Chin. A scholar is included among the top collaborators of Doris B. Chin 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 Doris B. Chin. Doris B. Chin 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

Hutchins, Nicole, Gautam Biswas, R. C. Wolf, et al.. (2020). Computational Thinking in Support of Learning and Transfer. ICLS. 1 indexed citations

Hutchins, Nicole, Gautam Biswas, Miklós Maróti, et al.. (2019). C2STEM: a System for Synergistic Learning of Physics and Computational Thinking. Journal of Science Education and Technology. 29(1). 83–100. 83 indexed citations

Chin, Doris B., et al.. (2019). Educating and Measuring Choice: A Test of the Transfer of Design Thinking in Problem Solving and Learning. Journal of the Learning Sciences. 28(3). 337–380. 53 indexed citations

Cutumisu, Maria, Kristen Pilner Blair, Doris B. Chin, & Daniel L. Schwartz. (2016). Assessing Whether Students Seek Constructive Criticism: The Design of an Automated Feedback System for a Graphic Design Task. International Journal of Artificial Intelligence in Education. 27(3). 419–447. 24 indexed citations

Chin, Doris B., et al.. (2016). Can Tinkering Prepare Students to Learn Physics Concepts?. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations

Chin, Doris B., Kristen Pilner Blair, & Daniel L. Schwartz. (2016). Got Game? A Choice-Based Learning Assessment of Data Literacy and Visualization Skills. Technology Knowledge and Learning. 21(2). 195–210. 18 indexed citations

Chin, Doris B., et al.. (2015). Guardian Angels of Our Better Nature: Finding Evidence of the Benefits of Design Thinking. 26.828.1–26.828.12. 10 indexed citations

Cutumisu, Maria, Kristen Pilner Blair, Doris B. Chin, & Daniel L. Schwartz. (2015). Posterlet: A Game-Based Assessment of Children's Choices to Seek Feedback and to Revise. Journal of Learning Analytics. 2(1). 36 indexed citations

Chi, Min, Daniel L. Schwartz, Kristen Pilner Blair, & Doris B. Chin. (2014). Choice-based Assessment: Can Choices Made in Digital Games Predict 6th-Grade Students' Math Test Scores?. Educational Data Mining. 36–43. 4 indexed citations

10.

Cutumisu, Maria, Doris B. Chin, & Daniel L. Schwartz. (2014). A Game-Based Assessment of Students' Choices to Seek Feedback and to Revise.. International Association for Development of the Information Society. 4 indexed citations

11.

Chi, Min, et al.. (2013). Applying cognitive developmental psychology to middle school physics learning: The rule assessment method. AIP conference proceedings. 158–161. 1 indexed citations

12.

Schwartz, Daniel L., Catherine C. Chase, Marily Oppezzo, & Doris B. Chin. (2011). Practicing versus inventing with contrasting cases: The effects of telling first on learning and transfer.. Journal of Educational Psychology. 103(4). 759–775. 328 indexed citations

13.

Berlin, Dorit S., Marily Oppezzo, Doris B. Chin, et al.. (2010). DNATwist: A Web-Based Tool for Teaching Middle and High School Students About Pharmacogenomics. Clinical Pharmacology & Therapeutics. 87(4). 393–395. 6 indexed citations

14.

Cheng, Britte Haugan, et al.. (2009). Bridging school and home. 2. 123–125. 1 indexed citations

15.

Schwartz, Daniel L., Catherine C. Chase, Doris B. Chin, et al.. (2009). Interactive Metacognition: Monitoring and Regulating a Teachable Agent JEONG, AND JOHN WAGSTER. 352–370. 1 indexed citations

16.

Pollentier, Ivan, et al.. (2004). In-line lithography cluster monitoring and control using integrated scatterometry. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5378. 105–105. 8 indexed citations

17.

Shen, Katherine A., Doris B. Chin, Rosa Arroyo-García, et al.. (2002). Dm3Is One Member of a Large Constitutively Expressed Family of Nucleotide Binding Site—Leucine-Rich Repeat Encoding Genes. Molecular Plant-Microbe Interactions. 15(3). 251–261. 67 indexed citations

18.

Chin, Doris B., Rosa Arroyo-García, O. Ochoa, et al.. (2001). Recombination and Spontaneous Mutation at the Major Cluster of Resistance Genes in Lettuce (Lactuca sativa). Genetics. 157(2). 831–849. 64 indexed citations

19.

Meyers, Blake C., et al.. (1998). Resistance Gene Candidates Identified by PCR with Degenerate Oligonucleotide Primers Map to Clusters of Resistance Genes in Lettuce. Molecular Plant-Microbe Interactions. 11(8). 815–823. 193 indexed citations

20.

Meyers, Blake C., Doris B. Chin, Katherine A. Shen, et al.. (1998). The Major Resistance Gene Cluster in Lettuce Is Highly Duplicated and Spans Several Megabases. The Plant Cell. 10(11). 1817–1832. 243 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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