Martin Rajman

68 papers receiving 1.3k citations

Hit Papers

Proceedings of the 4th International Conference on Langua...20042026201120182004250500750

Peers

Martin Rajman
Comparison fields: 5 of 99
  • Artificial Intelligence 979
  • Information Systems 258
  • Computer Networks and Communications 189
  • Language and Linguistics 129
  • Computer Vision and Pattern Recognition 122
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Countries citing papers authored by Martin Rajman

Since Specialization
Citations

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

Fields of papers citing papers by Martin Rajman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rajman

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Rajman. A scholar is included among the top collaborators of Martin Rajman 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 Martin Rajman. Martin Rajman 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
Peer-to-Peer clustering of Web-browsing users
7
2
X-Score: Automatic Evaluation of Machine Translation Grammaticality
3
3
Explicit Passive Analysis in Electronic Catalogs
1
4
Extending the Wizard of Oz Methodology for Language-enabled Multimodal Systems
8
5
Explicit Trade-off and Prospective Analysis in Electronic Catalogs
2
6
Robust Stochastic Parsing using Optimal Maximum Coverage
3
7
An Architecture for Peer-to-Peer Information Retrieval
14
8
Speech recognition simulation and its application for Wizard-of-Oz experiments
2
9
INSPIRE: Evaluation of a Smart-Home System for Infotainment Management and Device Control
17
10
Comparative evaluations in the domain of automatic speech recognition
1
11
Natural Language Queries on Natural Language Data: a Database of Meeting Dialogues
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Evaluation of a Vector Space similarity measure in a multilingual framework
8
13 6
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Improving Text representations through Probabilistic Integration of Synonymy Relations
1
15
Polynominal tree-substitution grammars: an efficient framework for Data-Oriented Parsing
3
16
Le modele DSIR : une approche a base de semantique distributionnelle pour la recherche documentaire
4
17 5
18
The GRACE French Part-Of-Speech Tagging Evaluation Task
21
19
Knowledge Management: A Text Mining Approach
62
20
Natural Language Techniques for Text Mining Applications.
0

About Martin Rajman

Martin Rajman is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (36 papers), Topic Modeling (19 papers) and Peer-to-Peer Network Technologies (18 papers). The work is most often cited by research in Artificial Intelligence (979 citations), Language and Linguistics (129 citations) and Information Systems (258 citations). Martin Rajman has collaborated with scholars based in Switzerland, Croatia and United Kingdom. Frequent co-authors include Lonneke van der Plas, Jean-Cédric Chappelier, Karl Aberer, Ivana Podnar Žarko, Romaric Besançon, Ronen Feldman, Yonatan Aumann, Moshe Fresko, Haym Hirsh and Vincenzo Pallotta. Their work appears in journals such as Future Generation Computer Systems, Proceedings of the VLDB Endowment and Current Opinion in Hematology.

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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