Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
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).
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
1.
Dazzi, Patrizio, Pascal Felber, Matteo Mordacchini, et al.. (2009). Peer-to-Peer clustering of Web-browsing users. International ACM SIGIR Conference on Research and Development in Information Retrieval.7 indexed citations
2.
Rajman, Martin, et al.. (2006). Explicit Passive Analysis in Electronic Catalogs. National Conference on Artificial Intelligence.1 indexed citations
3.
Rajman, Martin, et al.. (2006). Extending the Wizard of Oz Methodology for Language-enabled Multimodal Systems. Language Resources and Evaluation.8 indexed citations
4.
Rajman, Martin, et al.. (2006). X-Score: Automatic Evaluation of Machine Translation Grammaticality. Language Resources and Evaluation. 155–160.3 indexed citations
5.
Rajman, Martin, et al.. (2006). Explicit Trade-off and Prospective Analysis in Electronic Catalogs. Infoscience (Ecole Polytechnique Fédérale de Lausanne).2 indexed citations
6.
Chappelier, Jean-Cédric, et al.. (2005). Robust Stochastic Parsing using Optimal Maximum Coverage. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 258–263.3 indexed citations
7.
Rajman, Martin, et al.. (2004). Speech recognition simulation and its application for Wizard-of-Oz experiments. Language Resources and Evaluation.2 indexed citations
8.
Möller, Sebastian, Alexander Raake, Paula M. T. Smeele, et al.. (2004). INSPIRE: Evaluation of a Smart-Home System for Infotainment Management and Device Control. TNO Repository. 1603–1606.17 indexed citations
9.
Rajman, Martin, et al.. (2004). Comparative evaluations in the domain of automatic speech recognition. Language Resources and Evaluation.1 indexed citations
10.
Aberer, Karl, et al.. (2004). An Architecture for Peer-to-Peer Information Retrieval. Infoscience (Ecole Polytechnique Fédérale de Lausanne).14 indexed citations
11.
Armstrong, Susan, et al.. (2003). Natural Language Queries on Natural Language Data: a Database of Meeting Dialogues. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 14–27.11 indexed citations
12.
Besançon, Romaric & Martin Rajman. (2002). Evaluation of a Vector Space similarity measure in a multilingual framework. Language Resources and Evaluation.8 indexed citations
13.
Chappelier, Jean-Cédric & Martin Rajman. (2001). Polynominal tree-substitution grammars: an efficient framework for Data-Oriented Parsing. Infoscience (Ecole Polytechnique Fédérale de Lausanne).3 indexed citations
14.
Besançon, Romaric, et al.. (2001). Improving Text representations through Probabilistic Integration of Synonymy Relations. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1(4). 200–205.1 indexed citations
15.
Chappelier, Jean-Cédric, et al.. (2000). Automated Information Extraction out of Classified Advertisements.
16.
Rajman, Martin, Romaric Besançon, & Jean-Cédric Chappelier. (2000). Le modele DSIR : une approche a base de semantique distributionnelle pour la recherche documentaire. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 41(2). 549–578.4 indexed citations
Adda, Gilles, et al.. (1998). The GRACE French Part-Of-Speech Tagging Evaluation Task. Language Resources and Evaluation. 433–442.21 indexed citations
19.
Feldman, Ronen, et al.. (1998). Knowledge Management: A Text Mining Approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne).62 indexed citations
20.
Rajman, Martin, et al.. (1997). Natural Language Techniques for Text Mining Applications.. 50.
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.