This map shows the geographic impact of Marco Lui'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 Marco Lui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Lui more than expected).
This network shows the impact of papers produced by Marco Lui. 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 Marco Lui. The network helps show where Marco Lui may publish in the future.
Co-authorship network of co-authors of Marco Lui
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Lui.
A scholar is included among the top collaborators of Marco Lui 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 Marco Lui. Marco Lui is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gella, Spandana, Bahar Salehi, Marco Lui, et al.. (2013). UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity. Joint Conference on Lexical and Computational Semantics. 1. 207–215.3 indexed citations
5.
Baldwin, Timothy, Paul Cook, Marco Lui, Andrew MacKinlay, & Li Wang. (2013). How Noisy Social Media Text, How Diffrnt Social Media Sources?. International Joint Conference on Natural Language Processing. 356–364.124 indexed citations
6.
Lui, Marco & Paul Cook. (2013). Classifying English Documents by National Dialect. 5–15.30 indexed citations
7.
Lui, Marco & Li Wang. (2013). Recovering Casing and Punctuation using Conditional Random Fields. 137–141.2 indexed citations
8.
Lui, Marco & Timothy Baldwin. (2012). langid.py: An Off-the-shelf Language Identification Tool. Meeting of the Association for Computational Linguistics. 25–30.274 indexed citations
9.
Lui, Marco. (2012). Feature Stacking for Sentence Classification in Evidence-Based Medicine. 134–138.13 indexed citations
10.
Lui, Marco, Timothy Baldwin, & Diana McCarthy. (2012). Unsupervised Estimation of Word Usage Similarity. 33–41.7 indexed citations
11.
Cook, Paul & Marco Lui. (2012). langid.py for better language modelling. 107–112.3 indexed citations
12.
Wang, Li, Marco Lui, Su Nam Kim, Joakim Nivre, & Timothy Baldwin. (2011). Predicting Thread Discourse Structure over Technical Web Forums. Empirical Methods in Natural Language Processing. 13–25.36 indexed citations
13.
Lui, Marco & Timothy Baldwin. (2011). Cross-domain Feature Selection for Language Identification. International Joint Conference on Natural Language Processing. 553–561.77 indexed citations
14.
Baldwin, Timothy, David Martínez, Su Nam Kim, et al.. (2010). Intelligent Linux Information Access by Data Mining: the ILIAD Project. North American Chapter of the Association for Computational Linguistics. 1(1). 15–16.8 indexed citations
15.
Baldwin, Timothy & Marco Lui. (2010). Language Identification: The Long and the Short of the Matter. North American Chapter of the Association for Computational Linguistics. 229–237.76 indexed citations
16.
Lui, Marco & Timothy Baldwin. (2010). Classifying User Forum Participants: Separating the Gurus from the Hacks, and Other Tales of the Internet. 8. 49–57.13 indexed citations
17.
Baldwin, Timothy & Marco Lui. (2010). Multilingual Language Identification: ALTW 2010 Shared Task Data. 8. 4–7.9 indexed citations
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.