Laboratoire d'Informatique de Paris-Nord
Impact in
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Topic Modeling
- Natural Language Processing Techniques
- Logic, programming, and type systems
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
Papers in
-
- Logic, programming, and type systems 296
- Natural Language Processing Techniques 286
- Semantic Web and Ontologies 280
- Logic, Reasoning, and Knowledge 254
- Topic Modeling 252
-
- Formal Methods in Verification 342
- Top scholars
- Dan BonehMatthew K. FranklinLeslie Gabriel ValiantRobin MilnerRon KohaviJohn McCarthyPatrick J. HayesMarc Levoy
- Journals
- Lecture notes in computer science (852 papers)Theoretical Computer Science (31 papers)Discrete Applied Mathematics (19 papers)Logical Methods in Computer Science (16 papers)Machine Learning (15 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Laboratoire d'Informatique de Paris-Nord
4.5k papers receiving 126.0k citations
Peers
Comparison fields: 5 of 242
- Artificial Intelligence 57.6k
- Computer Networks and Communications 27.9k
- Computer Vision and Pattern Recognition 24.5k
- Computational Theory and Mathematics 16.5k
- Computer Graphics and Computer-Aided Design 3.5k
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 5.0k papers, which have received a total of 129.2k indexed citations . Scholars at this organization have produced 2.1k papers in Artificial Intelligence, 860 papers in Computational Theory and Mathematics, 1.2k papers in Computer Networks and Communications, 197 papers in Software and 293 papers in Hardware and Architecture on the topics of Formal Methods in Verification (342 papers), Logic, programming, and type systems (296 papers), Natural Language Processing Techniques (286 papers), Semantic Web and Ontologies (280 papers), Logic, Reasoning, and Knowledge (254 papers), Topic Modeling (252 papers), Data Management and Algorithms (183 papers) and Service-Oriented Architecture and Web Services (180 papers). Their work is cited by papers focused on Artificial Intelligence (57.6k citations), Computer Networks and Communications (27.9k citations), Computer Vision and Pattern Recognition (24.5k citations), Computational Theory and Mathematics (16.5k citations) and Computer Graphics and Computer-Aided Design (3.5k 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, Logical Methods in Computer Science and Machine Learning. Some of Laboratoire d'Informatique de Paris-Nord's most productive authors include Dan Boneh, Matthew K. Franklin, Leslie Gabriel Valiant, Robin Milner, Ron Kohavi, John McCarthy, Patrick J. Hayes, Marc Levoy, Danqi Chen and Deborah L. Estrin.
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.