Sydney M. Lamb

1.1k citations
24 papers · 460 indexed · h-index 10
Topics
Natural Language Processing Techniques (4 papers)Linguistic Variation and Morphology (3 papers)Syntax, Semantics, Linguistic Variation (3 papers)
Partner nations
United States

In The Last Decade

Sydney M. Lamb

20 papers receiving 340 citations

Peers

Sydney M. Lamb
Comparison fields: 5 of 69
  • Language and Linguistics 200
  • Experimental and Cognitive Psychology 129
  • Artificial Intelligence 112
  • Linguistics and Language 73
  • Paleontology 55
Replace A. Traill with:
A. Traill South Africa
Rudolf P. Botha South Africa
Edward J. Vajda United States
William R. Merrifield United States
Chad K. McDaniel United States
Don Ringe United States
Matthias Urban Germany
I. J. Gelb
Raimo Anttila United States
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Sydney M. Lamb relative to A. Traill South Africa A. Traill's profile →
Citations per field
00.5×4.6×
A. Traill · 1×
Citations per year

Countries citing papers authored by Sydney M. Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Sydney M. Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sydney M. Lamb

This figure shows the co-authorship network connecting the top 25 collaborators of Sydney M. Lamb. A scholar is included among the top collaborators of Sydney M. Lamb 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 Sydney M. Lamb. Sydney M. Lamb 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 8
3 15
4 3
5
Language and Reality
12
6 93
7 0
8 1
9
Очерк стратификационной грамматики
0
10 83
11 30
12 4
13 32
14 13
15 5
16 32
17 5
18
A High-Speed Large-Capacity Dictionary System
5
19 4
20 96

About Sydney M. Lamb

Sydney M. Lamb is a scholar working on Linguistics and Language, Language and Linguistics and Experimental and Cognitive Psychology, having authored 24 papers that have together received 460 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Linguistic Variation and Morphology (3 papers) and Syntax, Semantics, Linguistic Variation (3 papers). The work is most often cited by research in Language and Linguistics (200 citations), Linguistics and Language (73 citations) and Archeology (13 citations). Sydney M. Lamb has collaborated with scholars based in United States. Frequent co-authors include Wallace Chafe, Paul L. Garvin, Jonathan J. Webster, William H. Jacobsen, Samuel E. Martin, Mark Turner and Eric P. Hamp. Their work appears in journals such as The Journal of the Acoustical Society of America, Language and American Anthropologist.

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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