James L. Moseley

511 citations
50 papers · 322 indexed · h-index 9
Topics
Human Resource Development and Performance Evaluation (8 papers)Online and Blended Learning (4 papers)Innovative Teaching and Learning Methods (4 papers)
Journals
SHILAP Revista de lepidopterologíaFEBS LettersChemical Engineering Science

In The Last Decade

James L. Moseley

43 papers receiving 264 citations

Peers

James L. Moseley
Comparison fields: 5 of 94
  • Education 66
  • Applied Psychology 54
  • Computational Mechanics 46
  • Mechanical Engineering 46
  • Applied Mathematics 40
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Countries citing papers authored by James L. Moseley

Since Specialization
Citations

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

Fields of papers citing papers by James L. Moseley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James L. Moseley. 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 James L. Moseley. The network helps show where James L. Moseley may publish in the future.

Co-authorship network of co-authors of James L. Moseley

This figure shows the co-authorship network connecting the top 25 collaborators of James L. Moseley. A scholar is included among the top collaborators of James L. Moseley 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 James L. Moseley. James L. Moseley 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 0
2 4
3 3
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Learning by Going Social: Do We Really Learn from Social Media?
3
5
Learning, Unlearning and Relearning with Cutting Edge Technologies
2
6
Migrating educational data and services to cloud computing: Exploring benefits and challenges
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7
Is Mobile Learning the Future of 21st Century Education? Educational Considerations from Various Perspectives.
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8 19
9 3
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The Emerging Technology of Avatars: Some Educational Considerations.
8
11 0
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Q & A with ed tech leaders: Interview with Rita C. Richey
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Is There a Wiki in Your Future?: Applications for Education, Instructional Design, and General Use.
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14 2
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A one dimensional Hammerstein problem.
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18 8
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About James L. Moseley

James L. Moseley is a scholar working on Applied Psychology, Computer Science Applications and Developmental and Educational Psychology, having authored 50 papers that have together received 322 indexed citations. Recurring topics across this work include Human Resource Development and Performance Evaluation (8 papers), Online and Blended Learning (4 papers) and Innovative Teaching and Learning Methods (4 papers). The work is most often cited by research in Applied Psychology (54 citations), Applied Mathematics (40 citations) and Computer Science Applications (18 citations). James L. Moseley has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include Thomas J. O’Brien, Şacip Toker, Misa Mi, Michael L. Green, Sungkyun Lim, David Miller, Amanda Nichols Hess, Attila Yaprak, James Edwin Howell and J. Irwin. Their work appears in journals such as SHILAP Revista de lepidopterología, FEBS Letters and Chemical Engineering Science.

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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