Robert Farrell

2.3k citations
44 papers · 1.7k · h-index 16

Impact in

Papers in

    • Natural Language Processing Techniques 7
    • AI-based Problem Solving and Planning 7
    • Intelligent Tutoring Systems and Adaptive Learning 7
    • Topic Modeling 5
    • ICT in Developing Communities 4

Robert Farrell

40 papers receiving 1.5k citations

Peers

Robert Farrell
Comparison fields: 5 of 126
  • Computer Science Applications 336
  • Developmental and Educational Psychology 362
  • Artificial Intelligence 917
  • Human-Computer Interaction 154
  • Software 93
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Citations per field
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Citations per year

Countries citing papers authored by Robert Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Robert Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Farrell, 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 Robert Farrell Line = papers co-authored together Robert Farrell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Programming expert systems in OPS5: an introduction to rule-based programming
1985411
2 1984302
3 1984232
4
Cognitive principles in the design of computer tutors
1984138
5
Dynamic student modelling in an intelligent tutor for LISP programming
1985120
6 201189
7 200481
8 201043
9 201232
10 200923
11 201621
12 200021
13 201418
14 200518
15 200616
16 201416
17 200815
18 201315
19 200114
20
The Soviet censorship
197314

About Robert Farrell

Robert Farrell is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Human-Computer Interaction and Computer Networks and Communications, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), AI-based Problem Solving and Planning (7 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Innovative Human-Technology Interaction (6 papers), Open Education and E-Learning (5 papers), Topic Modeling (5 papers), Distributed and Parallel Computing Systems (5 papers) and ICT in Developing Communities (4 papers). The work is most often cited by research in Computer Science Applications (336 citations), Developmental and Educational Psychology (362 citations), Artificial Intelligence (917 citations), Human-Computer Interaction (154 citations) and Software (93 citations). Robert Farrell has collaborated with scholars based in United States, India and Canada. Frequent co-authors include John R. Anderson, Lee Brownston, Elaine Kant, Brian J. Reiser, John Thomas, Wendy A. Kellogg, Jason Ellis, W. Keith Edwards, Christopher A. Le Dantec and Jim Christensen. Their work appears in journals such as Cognitive Science, Information Processing & Management, Canadian Medical Association Journal, AI Magazine and Postgraduate Medical Journal.

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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