Mohand Boughanem

2.4k citations
110 papers · 824 indexed · h-index 14

Mohand Boughanem

97 papers receiving 744 citations

Peers

Mohand Boughanem
Comparison fields: 5 of 63
  • Information Systems 443
  • Artificial Intelligence 532
  • Signal Processing 171
  • Computer Science Applications 43
  • Computer Vision and Pattern Recognition 158
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Citations per year

Countries citing papers authored by Mohand Boughanem

Since Specialization
Citations

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

Fields of papers citing papers by Mohand Boughanem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mohand Boughanem, 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 Mohand Boughanem Line = papers co-authored together Mohand Boughanem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2
Exploring SBERT and Mixup Data Augmentation in Rhetorical Role Labeling of Indian Legal Sentences
20220
3 20221
4
IRIT at TREC Microblog 2015
20151
5
IRIT at TREC Microblog 2012: Adhoc Task
20122
6
Une approche de recherche d'attributs pertinents pour l'agrégation d'information.
20111
7
IRIT at TREC Microblog 2011
20112
8
Réseau bayésien pour un modèle de Recherche d'Information agrégée dans des documents structurés.
20100
9
Contextual query classification in web search.
20086
10
Personalized document ranking: Exploiting evidence from multiple user interests for profiling and retrieval
200817
11
Relevance Feedback for XML Retrieval: using structure and content to expand queries.
20071
12
An IR model based on a sub-tree representation
20061
13
A Conceptual Indexing Approach for the TREC Robust Task
20052
14
IRIT at TREC'2002: Filtering Track
20023
15
Query Optimization Using An Improved Genetic Algorithm.
20003
16
Mercure at trec9: Web and Filtering tasks.
20004
17
Mercure at trec8: Adhoc, Web, CLIR and Filtering tasks.
19993
18
Mercure at TREC7.
19985
19
Okapi at TREC-6 automatic ad hoc, VLC, routing, filtering and QSDR
199759
20
Mercure02: adhoc and routing tasks.
19963

About Mohand Boughanem

Mohand Boughanem is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 110 papers that have together received 824 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (30 papers), Data Management and Algorithms (30 papers), Topic Modeling (27 papers), Semantic Web and Ontologies (25 papers), Web Data Mining and Analysis (20 papers), Advanced Database Systems and Queries (16 papers), Natural Language Processing Techniques (15 papers) and Advanced Image and Video Retrieval Techniques (13 papers). The work is most often cited by research in Information Systems (443 citations), Artificial Intelligence (532 citations) and Signal Processing (171 citations). Mohand Boughanem has collaborated with scholars based in France, Algeria and Tunisia. Frequent co-authors include Mariam Daoud, Lynda Tamine, Karen Pinel-Sauvagnat, Catherine Berrut, Claude Chrisment, Guillaume Cabanac, Malik Muhammad Saad Missen, Arlind Kopliku, Steve Walker and Gareth J. F. Jones. Their work appears in journals such as ACM Computing Surveys, Information Processing & Management and Lecture notes in computer science.

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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