This map shows the geographic impact of Mounia Lalmas'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 Mounia Lalmas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mounia Lalmas more than expected).
This network shows the impact of papers produced by Mounia Lalmas. 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 Mounia Lalmas. The network helps show where Mounia Lalmas may publish in the future.
Co-authorship network of co-authors of Mounia Lalmas
This figure shows the co-authorship network connecting the top 25 collaborators of Mounia Lalmas.
A scholar is included among the top collaborators of Mounia Lalmas 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 Mounia Lalmas. Mounia Lalmas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Maystre, Lucas, et al.. (2021). Collaborative Classification from Noisy Labels. International Conference on Artificial Intelligence and Statistics. 1639–1647.
7.
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
8.
Borlund, Pia, Jesper Wiborg Schneider, Mounia Lalmas, et al.. (2008). Proceedings of the second international symposium on Information interaction in context.4 indexed citations
9.
Fuhr, Norbert, Jaap Kamps, Mounia Lalmas, & Andrew Trotman. (2008). Focused Access to XML Documents: 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007, Schloss Dagstuhl, Germany. Springer eBooks.2 indexed citations
10.
Lalmas, Mounia, et al.. (2007). Using XML logical structure to retrieve (multimedia). 100–111.3 indexed citations
11.
Fuhr, Norbert, Mounia Lalmas, Saadia Malik, & Gabriella Kazai. (2006). Advances in XML Information Retrieval and Evaluation: 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005, Dagstuhl ... Papers (Lecture Notes in Computer Science). Springer eBooks.25 indexed citations
12.
Lalmas, Mounia, et al.. (2006). Advances in Information Retrieval: 28th European Conference on IR Research, ECIR 2006, London, UK, April 10-12, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks.2 indexed citations
Fuhr, Norbert, Mounia Lalmas, Saadia Malik, & Zoltán Szlávik. (2005). Advances in XML Information Retrieval: Third International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2004, Dagstuhl Castle, ... 2004 (Lecture Notes in Computer Science). Springer eBooks.16 indexed citations
15.
Kazai, Gabriella, et al.. (2004). Searching Annotated Broadcast Content on Mobile and Stationary Devices.
16.
Hertzum, Morten, Mounia Lalmas, & Erik Frøkjær. (2001). How Are Searching and Reading Intertwined during Retrieval from Hierarchically Structured Documents. International Conference on Human-Computer Interaction. 537–544.5 indexed citations
17.
Lalmas, Mounia, et al.. (2000). A Dempster-Shafer indexing for the focussed retrieval of a hierarchically structured document space: implementation and experiments on a web museum collection. 442–456.14 indexed citations
18.
Lalmas, Mounia & Cornelis J. van Rijsbergen. (1998). Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information. Kluwer Academic Publishers eBooks.35 indexed citations
Crestani, Fábio, et al.. (1997). Short Queries, Natural Language and Spoken Document Retrieval: Experiments at Glasgow University.. Text REtrieval Conference. 667–686.16 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.