Leila Kosseim

1.0k total citations
63 papers, 462 citations indexed

About

Leila Kosseim is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Leila Kosseim has authored 63 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 14 papers in Information Systems and 5 papers in Molecular Biology. Recurrent topics in Leila Kosseim's work include Natural Language Processing Techniques (44 papers), Topic Modeling (43 papers) and Advanced Text Analysis Techniques (11 papers). Leila Kosseim is often cited by papers focused on Natural Language Processing Techniques (44 papers), Topic Modeling (43 papers) and Advanced Text Analysis Techniques (11 papers). Leila Kosseim collaborates with scholars based in Canada, United States and Netherlands. Leila Kosseim's co-authors include Olga Ormandjieva, Guy Lapalme, Bipin C. Desai, Marie‐Jean Meurs, Adrian Tsang, Greg Butler, Stéphane Beauregard, Elham Mohammadi, Volker Haarslev and Christopher J. O. Baker and has published in prestigious journals such as PLoS ONE, Language Resources and Evaluation and Database.

In The Last Decade

Leila Kosseim

54 papers receiving 406 citations

Peers

Leila Kosseim
Comparison fields: 5 of 63
  • Artificial Intelligence 309
  • Information Systems 192
  • Software 64
  • Molecular Biology 43
  • Computer Networks and Communications 34
Replace Junyi Jessy Li with:
Junyi Jessy Li United States
Leo Gao Canada
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Christine Prasad New Zealand
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Citations per field, relative to Leila Kosseim
Leila Kosseim · 1×
Citations per year, relative to Leila Kosseim
Leila Kosseim · 1×

Countries citing papers authored by Leila Kosseim

Since Specialization
Citations

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

Fields of papers citing papers by Leila Kosseim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Kosseim

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Kosseim. A scholar is included among the top collaborators of Leila Kosseim 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 Leila Kosseim. Leila Kosseim 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
# Work Indexed citations
1
On the Creation of a Corpus for Coherence Evaluation of Discursive Units
2
2
The CLaC System at the TREC 2020 News Track.
1
3
Cooking Up a Neural-based Model for Recipe Classification
1
4
Quick and (maybe not so) Easy Detection of Anorexia in Social Media Posts.
9
5
Opinion Spam Detection with Attention-Based Neural Networks
5
6
Attention for Implicit Discourse Relation Recognition
4
7 5
8 18
9
Discrepancy Between Automatic and Manual Evaluation of Summaries
3
10
Mining and Clustering Textual Requirements to Measure Functional Size of Software with COSMIC.
4
11
Using Terminology and a Concept Hierarchy for Restricted-Domain Question-Answering
1
12
Concordia University at the TREC 2007 QA Track.
7
13
Using Selectional Restrictions to Query an OWL Ontology
8
14
Simple features for statistical Word Sense Disambiguation.
7
15
Improving the precision of a closed-domain question-answering system with semantic information
6
16
Mercure: Towards an Automatic E-mail Follow-up System
8
17
The QUANTUM Question Answering System at TREC 11.
6
18 9
19
Goal-Driven Answer Extraction.
3
20
Planification de textes d'instructions : sélection du contenu et de la structure rhétorique
2

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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