Kenneth M. Ford

2.1k citations
63 papers · 1.2k indexed · h-index 20

Kenneth M. Ford

61 papers receiving 1.0k citations

Peers

Kenneth M. Ford
Comparison fields: 5 of 140
  • Developmental and Educational Psychology 163
  • Artificial Intelligence 412
  • Social Psychology 242
  • Safety Research 89
  • Computer Science Applications 56
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Countries citing papers authored by Kenneth M. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth M. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth M. Ford. 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 Kenneth M. Ford. The network helps show where Kenneth M. Ford may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20180
4 200622
5 20034
6
Online Concept Maps: Enhancing Collaborative Learning by Using Technology with Concept Maps
200137
7
An Architecture for Smart Internet Agents
19984
8
The Giant: An Agent-Based Approach to Knowledge Construction and Sharing
19984
9 199814
10
A general framework for conceiving of expertise and expert systems in context
199715
11 19971
12
Expertise in context: human and machine
1997212
13
Turing test considered harmful
199578
14 19953
15 19954
16 199418
17
Expertise in context: personally constructed, socially selected and reality-relevant?
199438
18
Modeling Expert Decision Making: Paradox of Simple Versus Complex Models.
19931
19
Advances in Human and Machine Cognition: Reasoning Agents in a Dynamic World: The Frame Problem
19921
20 199137

About Kenneth M. Ford

Kenneth M. Ford is a scholar working on Computer Science Applications, Artificial Intelligence and General Decision Sciences, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (8 papers), Computability, Logic, AI Algorithms (7 papers), Innovative Teaching and Learning Methods (6 papers), Cognitive and psychological constructs research (6 papers), Mobile Agent-Based Network Management (5 papers), Multi-Agent Systems and Negotiation (4 papers), Logic, Reasoning, and Knowledge (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Developmental and Educational Psychology (163 citations), Artificial Intelligence (412 citations) and Social Psychology (242 citations). Kenneth M. Ford has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Patrick J. Hayes, Robert R. Hoffman, Paul J. Feltovich, Jack Adams‐Webber, Jeffrey M. Bradshaw, Neil McK. Agnew, Clark Glymour, Alberto J. Cañas, Joseph D. Novak and Thomas Reichherzer. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Artificial Intelligence and Computer.

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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