Igor Mel’čuk

4.4k citations
106 papers · 1.2k · h-index 17

Impact in

Papers in

    • Historical Linguistics and Language Studies 25
    • Lexicography and Language Studies 24
    • Syntax, Semantics, Linguistic Variation 20
    • linguistics and terminology studies 17
    • Natural Language Processing Techniques 27

Igor Mel’čuk

92 papers receiving 915 citations

Peers

Igor Mel’čuk
Comparison fields: 5 of 55
  • Language and Linguistics 811
  • Linguistics and Language 143
  • Artificial Intelligence 630
  • Philosophy 189
  • Experimental and Cognitive Psychology 204
Replace Miriam Butt with:
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Citations per field
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Citations per year

Countries citing papers authored by Igor Mel’čuk

Since Specialization
Citations

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

Fields of papers citing papers by Igor Mel’čuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor Mel’čuk. 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 Igor Mel’čuk. The network helps show where Igor Mel’čuk may publish in the future.

Co-authors

The 18 scholars most cited alongside Igor Mel’čuk, 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 Igor Mel’čuk Line = papers co-authored together Igor Mel’čuk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lexical functions: a tool for the description of lexical relations in a lexicon
1996126
2
Introduction à la lexicologie explicative et combinatoire
1995103
3 199973
4
DEC dictionnaire explicatif et combinatoire du français contemporain
198468
5
A formal lexicon in the Meaning-Text Theory: (or how to do lexica with words)
198768
6 200156
7 198149
8 198644
9 200643
10 201237
11 199435
12 200433
13 201231
14 197027
15
Studies in Dependency Syntax
197922
16 200522
17 200421
18 200116
19 201515
20 200714

About Igor Mel’čuk

Igor Mel’čuk is a scholar working on Language and Linguistics, Artificial Intelligence, Philosophy, Linguistics and Language and Experimental and Cognitive Psychology, having authored 106 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Historical Linguistics and Language Studies (25 papers), Lexicography and Language Studies (24 papers), Syntax, Semantics, Linguistic Variation (20 papers), Linguistics and Discourse Analysis (19 papers), linguistics and terminology studies (17 papers), French Language Learning Methods (12 papers) and Discourse Analysis and Cultural Communication (7 papers). The work is most often cited by research in Language and Linguistics (811 citations), Linguistics and Language (143 citations), Artificial Intelligence (630 citations), Philosophy (189 citations) and Experimental and Cognitive Psychology (204 citations). Igor Mel’čuk has collaborated with scholars based in Canada, France and Spain. Frequent co-authors include Alain Polguère, André Clas, Lidija Iordanskaja, Leo Wanner, Paul T. Roberge, David Beck, Richard Kittredge, Douglas A. Kibbee, Robert F. Ilson and Sylvain Kahane. Their work appears in journals such as Linguistics, International Journal of Lexicography, Studies in Language, Machine Translation and 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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