Marian Beard

751 citations
12 papers · 485 · h-index 7

Impact in

Papers in

Marian Beard

12 papers receiving 385 citations

Peers

Marian Beard
Comparison fields: 5 of 64
  • Human-Computer Interaction 148
  • Computer Science Applications 122
  • Information Systems and Management 75
  • Developmental and Educational Psychology 87
  • Artificial Intelligence 205
Replace Albert Badre with:
Albert Badre United States
Carol C. Lochbaum United States
T. R. G. Green United Kingdom
M. J. Coombs United Kingdom
Heather Richter United States
Peter Parnes Sweden
Marlene Jones Canada
Ravinder Chandhok United States
Matthias Schneider‐Hufschmidt Germany
Vlado Glavinić Croatia
Marian Beard relative to Albert Badre United States Albert Badre's profile →
Citations per field
00.5×10×15×20×25×
Albert Badre · 1×
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-authors

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

12 of 12 papers shown
#Work
1 1989215
2 1976149
3 197755
4 197724
5 197514
6
Comparison of Student Performance and Attitude under Three Lesson-Selection Strategies in Computer-Assisted Instruction.
19739
7
Computer-assisted instruction in language arts for hearing-impaired students
19736
8 19955
9 19764
10 19952
11 19761
12
The Improvement and Individualization of Computer-Assisted Instruction: Final Report.
19751

About Marian Beard

Marian Beard is a scholar working on Artificial Intelligence, Computer Science Applications, Media Technology, Education and Developmental and Educational Psychology, having authored 12 papers that have together received 485 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), Interactive and Immersive Displays (1 paper), AI-based Problem Solving and Planning (1 paper), Cognitive Computing and Networks (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Human-Computer Interaction (148 citations), Computer Science Applications (122 citations), Information Systems and Management (75 citations), Developmental and Educational Psychology (87 citations) and Artificial Intelligence (205 citations). Marian Beard has collaborated with scholars based in United States. Frequent co-authors include Avron Barr, Richard C. Atkinson, Jeff Johnson, Charles Irby, Teresa L. Roberts, William L. Verplank, David Canfield Smith, Patrick Suppes, Laura Gould and J. D. Fletcher. Their work appears in journals such as Instructional Science, Computer, Human-Computer Interaction, 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.

Explore authors with similar magnitude of impact