Germán Kruszewski

4.5k citations
14 papers · 1.2k · 1 hit paper · h-index 10

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies
    • Speech and dialogue systems
    • Text Readability and Simplification

Papers in

Germán Kruszewski

13 papers receiving 1.1k citations

Germán Kruszewski's Hit Papers

Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors 2014 · 768 citations
7680+4+8Years since publication250500750

Peers

Germán Kruszewski
Comparison fields: 5 of 84
  • Artificial Intelligence 937
  • Human-Computer Interaction 76
  • Cultural Studies 54
  • Experimental and Cognitive Psychology 72
  • Computer Vision and Pattern Recognition 112
Replace Magnus Sahlgren with:
Magnus Sahlgren Sweden
Khalil Sima’an Netherlands
Alexander Koller Germany
José Camacho-Collados United Kingdom
Monojit Choudhury India
Patrick Juola United States
Micha Elsner United States
Pablo Gervás Spain
Lonneke van der Plas Malta
Jeffrey Flanigan United States
Germán Kruszewski relative to Magnus Sahlgren Sweden Magnus Sahlgren's profile →
Citations per field
00.5×5.1×
Magnus Sahlgren · 1×
Citations per year

Countries citing papers authored by Germán Kruszewski

Since Specialization
Citations

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

Fields of papers citing papers by Germán Kruszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Germán Kruszewski, 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 Germán Kruszewski Line = papers co-authored together Germán Kruszewski links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Hit paper breakdown →
2014768
2
2016121
3 2016106
4 201955
5 201524
6 201522
7 201616
8 201616
9 201912
10 20159
11 20146
12 20214
13 20201
14 20230

About Germán Kruszewski

Germán Kruszewski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Astronomy and Astrophysics and Literature and Literary Theory, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers), Multimodal Machine Learning Applications (3 papers), Authorship Attribution and Profiling (2 papers), Speech Recognition and Synthesis (2 papers), Discourse Analysis in Language Studies (1 paper), Language and cultural evolution (1 paper) and Digital Communication and Language (1 paper). The work is most often cited by research in Artificial Intelligence (937 citations), Human-Computer Interaction (76 citations), Cultural Studies (54 citations), Experimental and Cognitive Psychology (72 citations) and Computer Vision and Pattern Recognition (112 citations). Germán Kruszewski has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Marco Baroni, Georgiana Dinu, Francesco Barbieri, Francesco Ronzano, Horacio Saggion, Denis Paperno, Angeliki Lazaridou, Gemma Boleda, Raffaella Bernardi and Raquel Fernández. Their work appears in journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics, Artificial Life, Repositori digital de la UPF (Universitat Pompeu Fabra) and Institutional Research Information System (Università degli Studi di Trento).

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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