Phillip D. Long

25 papers receiving 491 citations

Peers

Phillip D. Long
Comparison fields: 5 of 91
  • Computer Science Applications 95
  • Library and Information Sciences 13
  • Atomic and Molecular Physics, and Optics 228
  • Cellular and Molecular Neuroscience 102
  • Education 124
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Citations per year

Countries citing papers authored by Phillip D. Long

Since Specialization
Citations

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

Fields of papers citing papers by Phillip D. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip D. Long. 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 Phillip D. Long. The network helps show where Phillip D. Long may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201467
2 201457
3
The future of the learning space: Breaking out of the box
200551
4
Trends in Learning Space Design
200650
5 201338
6 201136
7 201336
8 201335
9 201130
10 201521
11 201119
12 197618
13
OpenCourseWare: Simple idea, profound implications
200216
14
Signposts of the revolution? What we talk about when we talk about learning spaces
200915
15 201410
16 20156
17 20146
18
Learning space design in action
20056
19 20145
20
New horizons: building "open" frameworks for education
20013

About Phillip D. Long

Phillip D. Long is a scholar working on Atomic and Molecular Physics, and Optics, Education, Molecular Biology, Computer Science Applications and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 537 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (8 papers), Photosynthetic Processes and Mechanisms (7 papers), Online and Blended Learning (6 papers), Online Learning and Analytics (6 papers), Experimental Learning in Engineering (4 papers), Open Education and E-Learning (3 papers), Photoreceptor and optogenetics research (3 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Computer Science Applications (95 citations), Library and Information Sciences (13 citations), Atomic and Molecular Physics, and Optics (228 citations), Cellular and Molecular Neuroscience (102 citations) and Education (124 citations). Phillip D. Long has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Gregory S. Engel, Andrew F. Fidler, Peter D. Dahlberg, George Siemens, Ved Prakash Singh, Stephen C. Ehrmann, Malcolm Brown, Elad Harel, Lucy Chipchase and Venerina Johnston. Their work appears in journals such as The Journal of Physical Chemistry Letters, Journal of Learning Analytics, The Journal of Physical Chemistry A, Nature Communications and Open Learning The Journal of Open Distance and e-Learning.

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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