Brian Lamb

436 citations
23 papers · 306 · h-index 7

Impact in

Papers in

Brian Lamb

18 papers receiving 224 citations

Peers

Brian Lamb
Comparison fields: 5 of 62
  • Communication 147
  • Computer Science Applications 103
  • Developmental and Educational Psychology 79
  • Information Systems 91
  • Literature and Literary Theory 35
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Citations per year

Countries citing papers authored by Brian Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Brian Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Brian Lamb, 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 Brian Lamb Line = papers co-authored together Brian Lamb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wide Open Spaces: Wikis Ready or Not
2004200
2
Dr. Mashup or, Why Educators Should Learn to Stop Worrying and Love the Remix
200732
3 200913
4 201911
5 20168
6
The Open Ed Tech: Never Mind the Edupunks; or, The Great Web 2.0 Swindle.
20107
7 20166
8 20106
9 20125
10 20133
11 20092
12 20162
13
Building an Open Social Learning Community Around a DSpace Repository on Statistics
20092
14
Lamb Inquiry : special educational needs and parental confidence : report to the Secretary of State on the Lamb Inquiry review of SEN and disability information
20092
15
Who's Buried in Grant's Tomb?: A Tour of Presidential Gravesites
20001
16
The Good Campaigns Guide
19971
17 20211
18
Booknotes: Stories from American History
20021
19
The Supreme Court: A C-SPAN Book, Featuring the Justices in their Own Words
20101
20 20141

About Brian Lamb

Brian Lamb is a scholar working on Education, Clinical Psychology, Sociology and Political Science, Political Science and International Relations and Cognitive Neuroscience, having authored 23 papers that have together received 306 indexed citations. Recurring topics across this work include Family and Disability Support Research (4 papers), Disability Education and Employment (3 papers), Noise Effects and Management (3 papers), Hearing Loss and Rehabilitation (3 papers), Digital Games and Media (2 papers), Web and Library Services (2 papers), Open Education and E-Learning (2 papers) and Child Welfare and Adoption (2 papers). The work is most often cited by research in Communication (147 citations), Computer Science Applications (103 citations), Developmental and Educational Psychology (79 citations), Information Systems (91 citations) and Literature and Literary Theory (35 citations). Brian Lamb has collaborated with scholars based in United Kingdom, Netherlands and Spain. Frequent co-authors include Brahm Norwich, Julià Minguillón, Sue Archbold, Ciarán O’Neill, Miguel‐Ángel Sicilia, Alex Murdock and Douglas Brinkley. Their work appears in journals such as Cochlear Implants International, Social enterprise journal, Journal of Research in Special Educational Needs, Voluntary Sector Review and Frontiers in Education.

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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