Laboratoire d'Informatique de Paris-Nord
Impact in
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Topic Modeling
- Logic, programming, and type systems
- Logic, Reasoning, and Knowledge
- Natural Language Processing Techniques
- Semantic Web and Ontologies
Papers in
-
- Logic, programming, and type systems 287
- Semantic Web and Ontologies 260
- Logic, Reasoning, and Knowledge 260
- Natural Language Processing Techniques 229
- Topic Modeling 209
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- Formal Methods in Verification 330
- Top scholars
- Dan BonehMatthew FranklinLeslie G. ValiantRobin MilnerRon KohaviJohn McCarthyPatrick J. HayesMarc Levoy
- Journals
- Lecture notes in computer science (855 papers)Theoretical Computer Science (32 papers)Discrete Applied Mathematics (17 papers)Machine Learning (16 papers)European Journal of Operational Research (14 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Laboratoire d'Informatique de Paris-Nord
4.4k papers receiving 128.8k citations
Peers
Comparison fields: 5 of 244
- Artificial Intelligence 57.3k
- Computer Networks and Communications 29.9k
- Computer Vision and Pattern Recognition 23.0k
- Computational Theory and Mathematics 17.3k
- Computer Graphics and Computer-Aided Design 3.6k
Countries citing scholars working at Laboratoire d'Informatique de Paris-Nord
This map shows the geographic impact of research produced by authors working at Laboratoire d'Informatique de Paris-Nord. 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 papers produced at Laboratoire d'Informatique de Paris-Nord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire d'Informatique de Paris-Nord more than expected).
Fields of papers published by authors at Laboratoire d'Informatique de Paris-Nord
This network shows the impact of papers affiliated with Laboratoire d'Informatique de Paris-Nord at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Laboratoire d'Informatique de Paris-Nord at the time of their publication.
About Laboratoire d'Informatique de Paris-Nord
In recent decades, authors affiliated with Laboratoire d'Informatique de Paris-Nord have published 4.9k papers, which have received a total of 131.7k indexed citations . Scholars at this organization have produced 2.0k papers in Artificial Intelligence, 842 papers in Computational Theory and Mathematics, 1.2k papers in Computer Networks and Communications, 183 papers in Software and 298 papers in Hardware and Architecture on the topics of Formal Methods in Verification (330 papers), Logic, programming, and type systems (287 papers), Semantic Web and Ontologies (260 papers), Logic, Reasoning, and Knowledge (260 papers), Natural Language Processing Techniques (229 papers), Topic Modeling (209 papers), Parallel Computing and Optimization Techniques (184 papers) and Data Management and Algorithms (182 papers). Their work is cited by papers focused on Artificial Intelligence (57.3k citations), Computer Networks and Communications (29.9k citations), Computer Vision and Pattern Recognition (23.0k citations), Computational Theory and Mathematics (17.3k citations) and Computer Graphics and Computer-Aided Design (3.6k citations). Authors at Laboratoire d'Informatique de Paris-Nord collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including Lecture notes in computer science, Theoretical Computer Science, Discrete Applied Mathematics, Machine Learning and European Journal of Operational Research. Some of Laboratoire d'Informatique de Paris-Nord's most productive authors include Dan Boneh, Matthew Franklin, Leslie G. Valiant, Robin Milner, Ron Kohavi, John McCarthy, Patrick J. Hayes, Marc Levoy, Geoffrey E. Hinton and Terrence J. Sejnowski.
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.