H. Chad Lane

1.8k citations
45 papers · 755 indexed · h-index 15
Topics
Intelligent Tutoring Systems and Adaptive Learning (20 papers)Innovative Teaching and Learning Methods (12 papers)Teaching and Learning Programming (9 papers)

In The Last Decade

H. Chad Lane

43 papers receiving 651 citations

Peers

H. Chad Lane
Comparison fields: 5 of 99
  • Artificial Intelligence 370
  • Developmental and Educational Psychology 216
  • Computer Science Applications 216
  • Social Psychology 91
  • Information Systems 75
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Countries citing papers authored by H. Chad Lane

Since Specialization
Citations

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

Fields of papers citing papers by H. Chad Lane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Chad Lane. 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 H. Chad Lane. The network helps show where H. Chad Lane may publish in the future.

Co-authorship network of co-authors of H. Chad Lane

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 12
3 3
4 19
5 0
6 4
7 21
8 4
9 9
10 10
11 25
12 16
13
Using Written and Behavioral Data to Detect Evidence of Continuous Lear ning
1
14
An Intelligent Tutoring Architecture for Simulation-based Training
1
15
Urbansim: A Game-Based Instructional Package for Conducting Counterinsurgency Operations
3
16 71
17
Toward Question Answering for Simulations
2
18 14
19
A dialogue-based tutoring system for beginning programming
11
20
Natural language tutoring and the novice programmer
3

About H. Chad Lane

H. Chad Lane is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence, having authored 45 papers that have together received 755 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (20 papers), Innovative Teaching and Learning Methods (12 papers) and Teaching and Learning Programming (9 papers). The work is most often cited by research in Computer Science Applications (216 citations), Developmental and Educational Psychology (216 citations) and Health Informatics (21 citations). H. Chad Lane has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Kurt VanLehn, Mark G. Core, Vinay K. Chaudhri, Beverly Park Woolf, Janet L. Kolodner, Eric Forbell, Stacy Marsella, John Hart, Michael van Lent and Randall W. Hill. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Educational Psychology and Human Factors The Journal of the Human Factors and Ergonomics Society.

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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