Marian Beard

744 citations
11 papers · 328 indexed · h-index 6

Impact in

Papers in

Marian Beard

11 papers receiving 274 citations

Peers

Marian Beard
Comparison fields: 5 of 56
  • Human-Computer Interaction 114
  • Computer Science Applications 57
  • Information Systems and Management 62
  • Software 18
  • Artificial Intelligence 138
Replace E. Harslem with:
E. Harslem United States
Thomas T. Hewett United States
Albert Badre United States
M. J. Coombs United Kingdom
Charles Irby United States
Matthias Schneider‐Hufschmidt Germany
Heather Richter United States
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Ravinder Chandhok United States
Sylvie Noël Canada
Marian Beard relative to E. Harslem United States E. Harslem's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marian Beard

Since Specialization
Citations

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

Fields of papers citing papers by Marian Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Marian Beard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marian Beard Line = papers co-authored together Marian Beard links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 19952
2 1989158
3 197715
4 197743
5 19761
6 19763
7 197681
8 197510
9
The Improvement and Individualization of Computer-Assisted Instruction: Final Report.
19751
10
Computer-assisted instruction in language arts for hearing-impaired students
19735
11
Comparison of Student Performance and Attitude under Three Lesson-Selection Strategies in Computer-Assisted Instruction.
19739

About Marian Beard

Marian Beard is a scholar working on Computer Science Applications, Media Technology, Artificial Intelligence, Human-Computer Interaction and Developmental and Educational Psychology, having authored 11 papers that have together received 328 indexed citations. Recurring topics across this work include Teaching and Learning Programming (5 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Experimental Learning in Engineering (3 papers), Education and Technology Integration (2 papers), Hearing Impairment and Communication (1 paper), Information Systems Education and Curriculum Development (1 paper), Personal Information Management and User Behavior (1 paper) and Educational Games and Gamification (1 paper). The work is most often cited by research in Human-Computer Interaction (114 citations), Computer Science Applications (57 citations), Information Systems and Management (62 citations), Software (18 citations) and Artificial Intelligence (138 citations). Marian Beard has collaborated with scholars based in United States. Frequent co-authors include Avron Barr, Richard C. Atkinson, Charles Irby, Teresa L. Roberts, David Canfield Smith, William L. Verplank, Jeff Johnson, Patrick Suppes, Laura Gould and J. D. Fletcher. Their work appears in journals such as Instructional Science, Human-Computer Interaction, Computer, ACM SIGCSE Bulletin and Defense Technical Information Center (DTIC).

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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