Marian Beard

744 total citations
11 papers, 328 citations indexed

About

Marian Beard is a scholar working on Artificial Intelligence, Computer Science Applications and Media Technology. According to data from OpenAlex, Marian Beard has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 3 papers in Media Technology. Recurrent topics in Marian Beard's work include Teaching and Learning Programming (5 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Experimental Learning in Engineering (3 papers). Marian Beard is often cited by papers focused on Teaching and Learning Programming (5 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Experimental Learning in Engineering (3 papers). Marian Beard collaborates with scholars based in United States. Marian Beard's 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 and has published in prestigious journals such as Computer, Human-Computer Interaction and Instructional Science.

In The Last Decade

Marian Beard

11 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marian Beard United States	6	138	114	62	57	45	11	328
Thomas T. Hewett United States	9	54 0.4×	87 0.8×	36 0.6×	50 0.9×	82 1.8×	37	323
M. J. Coombs United Kingdom	9	196 1.4×	55 0.5×	22 0.4×	31 0.5×	64 1.4×	23	378
T. R. G. Green United Kingdom	7	192 1.4×	210 1.8×	44 0.7×	54 0.9×	151 3.4×	14	470
Thomas Kühme Germany	7	87 0.6×	106 0.9×	49 0.8×	26 0.5×	43 1.0×	11	232
Marlene Jones Canada	5	198 1.4×	35 0.3×	15 0.2×	42 0.7×	56 1.2×	10	293
Kevin Mullet United States	7	60 0.4×	191 1.7×	36 0.6×	25 0.4×	69 1.5×	14	389
Matthias Schneider‐Hufschmidt Germany	9	107 0.8×	119 1.0×	46 0.7×	42 0.7×	109 2.4×	18	297
E. Harslem United States	5	86 0.6×	188 1.6×	71 1.1×	17 0.3×	69 1.5×	11	356
Catherine G. Wolf United States	11	100 0.7×	198 1.7×	46 0.7×	9 0.2×	42 0.9×	29	392
Yoshimi Fukumura Japan	9	66 0.5×	133 1.2×	22 0.4×	24 0.4×	102 2.3×	33	310

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 of co-authors of Marian Beard

This figure shows the co-authorship network connecting the top 25 collaborators of Marian Beard. A scholar is included among the top collaborators of Marian Beard 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 Marian Beard. Marian Beard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Johnson, Jeff, Teresa L. Roberts, William L. Verplank, et al.. (1995). The emergence of graphical user interfaces. Human-Computer Interaction. 103(6). 49–52. 2 indexed citations

2.

Johnson, Jeff, Teresa L. Roberts, William L. Verplank, et al.. (1989). The Xerox Star: a retrospective. Computer. 22(9). 11–26. 158 indexed citations

3.

Beard, Marian, et al.. (1977). Knowledge-based adaptive curriculum sequencing for CAI. 234–240. 15 indexed citations

4.

Suppes, Patrick, et al.. (1977). University-level computer-assisted instruction at Stanford: 1975. Instructional Science. 6(2). 151–185. 43 indexed citations

5.

Barr, Avron & Marian Beard. (1976). An instructional interpreter for basic. ACM SIGCSE Bulletin. 8(1). 325–334. 1 indexed citations

6.

Barr, Avron & Marian Beard. (1976). An instructional interpreter for basic. 325–334. 3 indexed citations

7.

Barr, Avron, Marian Beard, & Richard C. Atkinson. (1976). The computer as a tutorial laboratory: the Stanford BIP project. International Journal of Man-Machine Studies. 8(5). 567–596. 81 indexed citations

8.

Barr, Avron, Marian Beard, & Richard C. Atkinson. (1975). A rationale and description of a CAI program to teach the BASIC programming language. Instructional Science. 4(1). 1–31. 10 indexed citations

9.

Beard, Marian. (1975). The Improvement and Individualization of Computer-Assisted Instruction: Final Report.. 1 indexed citations

10.

Fletcher, J. D. & Marian Beard. (1973). Computer-assisted instruction in language arts for hearing-impaired students. 5 indexed citations

11.

Beard, Marian. (1973). Comparison of Student Performance and Attitude under Three Lesson-Selection Strategies in Computer-Assisted Instruction.. Defense Technical Information Center (DTIC). 9 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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