Maria Lapata

611 citations
11 papers · 346 indexed · h-index 10
Topics
Natural Language Processing Techniques (9 papers)Topic Modeling (8 papers)Speech and dialogue systems (5 papers)
Journals
Computational LinguisticsJournal of Psycholinguistic ResearchEdinburgh Research Explorer (University of Edinburgh)
Partner nations
United KingdomGermany

In The Last Decade

Maria Lapata

11 papers receiving 280 citations

Peers

Maria Lapata
Comparison fields: 5 of 29
  • Artificial Intelligence 294
  • Language and Linguistics 61
  • Experimental and Cognitive Psychology 47
  • Developmental and Educational Psychology 30
  • Information Systems 27
Replace Péter Halácsy with:
Péter Halácsy Hungary
Berthold Crysmann Germany
Lynne Cahill United Kingdom
John K. Pate Australia
Stefanie Dipper Germany
Stergios Chatzikyriakidis Sweden
Felix Bildhauer Germany
Mats Wirén Sweden
Rodger Kibble United Kingdom
Esther König Germany
Maria Lapata relative to Péter Halácsy Hungary Péter Halácsy's profile →
Citations per field
00.5×1.5×2.0×
Péter Halácsy · 1×
Citations per year

Countries citing papers authored by Maria Lapata

Since Specialization
Citations

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

Fields of papers citing papers by Maria Lapata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Lapata

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Lapata. A scholar is included among the top collaborators of Maria Lapata 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 Maria Lapata. Maria Lapata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 49
2 60
3 59
4 27
5 25
6 16
7
The Automatic Interpretation of Nominalizations
12
8 38
9 49
10
INFERRING DISCOURSE STRUCTURE FROM SPEECH
1
11 10

About Maria Lapata

Maria Lapata is a scholar working on Artificial Intelligence, Cultural Studies and Language and Linguistics, having authored 11 papers that have together received 346 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (294 citations), Language and Linguistics (61 citations) and Experimental and Cognitive Psychology (47 citations). Maria Lapata has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Frank Keller, Alex Lascarides, Scott A. McDonald, Sabine Schulte im Walde, K. Ries, Lori Levin, Thomas Polzin, Arnon Lavie, Michael S. Finke and Klaus Zechner. Their work appears in journals such as Computational Linguistics, Journal of Psycholinguistic Research and Edinburgh Research Explorer (University of Edinburgh).

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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