Leif Azzopardi

5.6k total citations · 1 hit paper
184 papers, 2.8k citations indexed

About

Leif Azzopardi is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Leif Azzopardi has authored 184 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Information Systems, 86 papers in Artificial Intelligence and 32 papers in Computer Science Applications. Recurrent topics in Leif Azzopardi's work include Information Retrieval and Search Behavior (102 papers), Topic Modeling (55 papers) and Expert finding and Q&A systems (29 papers). Leif Azzopardi is often cited by papers focused on Information Retrieval and Search Behavior (102 papers), Topic Modeling (55 papers) and Expert finding and Q&A systems (29 papers). Leif Azzopardi collaborates with scholars based in United Kingdom, Netherlands and Australia. Leif Azzopardi's co-authors include Maarten de Rijke, Krisztian Balog, Guido Zuccon, Diane Kelly, David Maxwell, Mark Girolami, Vishwa Vinay, David E. Losada, Paul Thomas and Bevan Koopman and has published in prestigious journals such as British Journal of Anaesthesia, Information Processing & Management and Heliyon.

In The Last Decade

Leif Azzopardi

177 papers receiving 2.6k citations

Hit Papers

Formal models for expert finding in enterprise corpora 2006 2026 2012 2019 2006 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leif Azzopardi United Kingdom 25 1.9k 1.4k 582 221 221 184 2.8k
Krisztian Balog Norway 28 1.9k 1.0× 1.9k 1.3× 615 1.1× 160 0.7× 321 1.5× 131 2.7k
Jaap Kamps Netherlands 22 1.2k 0.6× 1.8k 1.3× 385 0.7× 287 1.3× 254 1.1× 209 2.6k
Falk Scholer Australia 24 1.3k 0.7× 1.3k 0.9× 261 0.4× 345 1.6× 215 1.0× 153 2.3k
Rosie Jones United States 26 1.7k 0.9× 1.8k 1.3× 225 0.4× 331 1.5× 243 1.1× 62 3.1k
Daqing He United States 23 1.2k 0.6× 1.0k 0.7× 233 0.4× 191 0.9× 133 0.6× 186 2.3k
Matthew Lease United States 27 762 0.4× 1.3k 0.9× 854 1.5× 151 0.7× 219 1.0× 106 2.3k
Stefano Mizzaro Italy 20 946 0.5× 767 0.5× 352 0.6× 184 0.8× 187 0.8× 102 1.6k
Shyong K. Lam United States 15 1.8k 1.0× 1.0k 0.7× 366 0.6× 457 2.1× 403 1.8× 22 2.6k
Kevyn Collins‐Thompson United States 27 1.0k 0.6× 1.5k 1.1× 281 0.5× 216 1.0× 151 0.7× 71 2.5k

Countries citing papers authored by Leif Azzopardi

Since Specialization
Citations

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

Fields of papers citing papers by Leif Azzopardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leif Azzopardi

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

All Works

20 of 20 papers shown
1.
Aliannejadi, Mohammad, et al.. (2024). TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants. UvA-DARE (University of Amsterdam). 819–829. 6 indexed citations
3.
Verberne, Suzan, et al.. (2023). Retrievability Bias Estimation Using Synthetically Generated Queries. Leiden Repository (Leiden University). 3712–3716. 2 indexed citations
4.
Azzopardi, Leif, et al.. (2020). DataMirror: Reflecting on One's Data Self. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 2125–2128. 3 indexed citations
5.
Azzopardi, Leif, et al.. (2020). Early Risk Detection of Self-Harm and Depression Severity using BERT-based Transformers.. CLEF (Working Notes). 12 indexed citations
6.
Azzopardi, Leif, et al.. (2019). VES Team at TREC Conversational Assistance Track (CAsT) 2019.. Text REtrieval Conference. 1 indexed citations
7.
Zuccon, Guido, Bevan Koopman, Peter Bruza, & Leif Azzopardi. (2015). Integrating and evaluating neural word embeddings in information retrieval. QUT ePrints (Queensland University of Technology). 1 indexed citations
8.
Azzopardi, Leif & David Maxwell. (2013). Tango with Django: a beginners guide to web development with Django 1.5.4. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 18(4). 621–623. 1 indexed citations
9.
Zuccon, Guido, et al.. (2011). Crowdsourcing Interactions A proposal for capturing user interactions through crowdsourcing. QUT ePrints (Queensland University of Technology). 6 indexed citations
10.
Zuccon, Guido, et al.. (2011). Indexing without spam. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 5 indexed citations
11.
Zuccon, Guido, et al.. (2011). Crowdsourcing interactions: Capturing query sessions through crowdsourcing. QUT ePrints (Queensland University of Technology). 3 indexed citations
12.
Song, Dawei, Mounia Lalmas, C. J. van Rijsbergen, et al.. (2010). How quantum theory is developing the field of Information Retrieval. Open Research Online (The Open University). 105–108. 8 indexed citations
13.
Azzopardi, Leif. (2009). Advances in information retrieval theory : second International Conference on the Theory of Information Retrieval, ICTIR 2009, Cambridge, UK, September 10-12, 2009 : proceedings. Springer US. 4 indexed citations
14.
Azzopardi, Leif, Gabriella Kazai, Stephen Robertson, et al.. (2009). Advances in Information Retrieval Theory: Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, ... Applications, incl. Internet/Web, and HCI. Springer eBooks. 1 indexed citations
15.
Azzopardi, Leif & Vishwa Vinay. (2008). Document accessibility: evaluating the access afforded to a document by the retrieval system. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2 indexed citations
16.
Lioma, Christina, Marie‐Francine Moens, & Leif Azzopardi. (2008). Collaborative annotation for pseudo relevance feedback. Lirias (KU Leuven). 8 indexed citations
17.
Azzopardi, Leif & Thomas Roelleke. (2007). Explicitly considering relevance within the language modeling framework. British Journal of Anaesthesia. 82(1). 81–6. 4 indexed citations
18.
Azzopardi, Leif & Maarten de Rijke. (2006). Query Intention Acquisition: A Case Study on Automatically Inferring Structured Queries. Heliyon. 10(20). e39121–e39121. 4 indexed citations
19.
Azzopardi, Leif, Krisztian Balog, & Maarten de Rijke. (2005). Language Modeling Approaches for Enterprise Tasks. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 18 indexed citations
20.
Meij, Edgar, et al.. (2005). Combining thesauri-based methods for biomedical retrieval. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 4 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.

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