Rémi Zajac

31 papers receiving 242 citations

Peers

Rémi Zajac
Comparison fields: 5 of 39
  • Artificial Intelligence 285
  • Information Systems 47
  • Management Science and Operations Research 42
  • Language and Linguistics 36
  • Computational Theory and Mathematics 26
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Citations per field
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Citations per year

Countries citing papers authored by Rémi Zajac

Since Specialization
Citations

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

Fields of papers citing papers by Rémi Zajac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Zajac

This figure shows the co-authorship network connecting the top 25 collaborators of Rémi Zajac. A scholar is included among the top collaborators of Rémi Zajac 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 Rémi Zajac. Rémi Zajac 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
#WorkIndexed citations
1 41
2
Modified music algorithm for DOA estimation using the a-priori defined unitary matrix
2
3
Hardware implementation of parametric algorithm for asynchronously gathered measurement data based on the FPGA technology
2
4 2
5
Customizing complex lexical entries for high-quality MT
3
6 5
7
A Modular Toolkit for Machine Translation Based on Layered Charts
2
8
Modular Unification-based Parsers.
8
9
Processing Persian Text: Tokenization in the Shiraz Project
4
10 6
11
Persian-English Machine Translation: An Overview of the Shiraz Project
26
12
On Some Aspects of Lexical Standardization
0
13
Rapid development of translation tools
4
14 6
15
MINDS - Multi-lingual INteractive Document Summarization
5
16
Towards a multilingual analyst’s workstation: Temple
1
17
Two principles and six techniques for rapid MT development
4
18
Inheritance and constraint-based grammar formalisms
29
19 44
20
Retif : a rewriting system for typed feature structures
6

About Rémi Zajac

Rémi Zajac is a scholar working on Software, Artificial Intelligence and Language and Linguistics, having authored 36 papers that have together received 320 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Semantic Web and Ontologies (11 papers) and Topic Modeling (10 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Software (18 citations) and Language and Linguistics (36 citations). Rémi Zajac has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Karine Megerdoomian, Xin Luna Dong, Divesh Srivastava, Songtao Guo, Sergei Nirenburg, Jim Cowie, Jean Sénellart, Ulrich Heid, Stefan Momma and Kavi Mahesh. Their work appears in journals such as Proceedings of the VLDB Endowment, Computational Linguistics and Language Resources and Evaluation.

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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