Marcus Tomalin

1.1k citations
58 papers · 568 · h-index 14

Impact in

    • Syntax, Semantics, Linguistic Variation
    • Historical Linguistics and Language Studies
    • Natural Language Processing Techniques
    • Speech Recognition and Synthesis
    • Topic Modeling
    • Speech and dialogue systems

Papers in

Marcus Tomalin

51 papers receiving 496 citations

Peers

Marcus Tomalin
Comparison fields: 5 of 91
  • Language and Linguistics 108
  • Artificial Intelligence 311
  • Signal Processing 77
  • Cultural Studies 49
  • Linguistics and Language 23
Replace James Thorne with:
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Gemma Boleda Spain
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Çağrı Çöltekin Germany
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Citations per field
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Citations per year

Countries citing papers authored by Marcus Tomalin

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Tomalin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Medicinal and magical plants of southern Africa: an annotated checklist.
200277
2 201956
3 200646
4 200738
5 200925
6 202124
7 200623
8 201123
9 201022
10 200622
11 200718
12 201118
13 202313
14 201113
15 202211
16 200911
17 201410
18 20109
19 20088
20 20158

About Marcus Tomalin

Marcus Tomalin is a scholar working on Artificial Intelligence, Language and Linguistics, Anthropology, Signal Processing and Computational Theory and Mathematics, having authored 58 papers that have together received 568 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (13 papers), Historical Linguistics and Language Studies (13 papers), Topic Modeling (9 papers), Speech and dialogue systems (5 papers), Historical and Literary Studies (5 papers), Speech and Audio Processing (5 papers) and semigroups and automata theory (4 papers). The work is most often cited by research in Language and Linguistics (108 citations), Artificial Intelligence (311 citations), Signal Processing (77 citations), Cultural Studies (49 citations) and Linguistics and Language (23 citations). Marcus Tomalin has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include Philip C. Woodland, Mark Gales, Frank Diehl, Bill Byrne, T. H. Arnold, Neil R. Crouch, Mary P. Harper, Dustin Hillard, E. Shriberg and Barbara Peskin. Their work appears in journals such as The Review of English Studies, Romanticism, Lingua, Ethics and Information Technology and Computer Speech & Language.

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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