Alexandra Constantin

6.5k citations
7 papers · 4.4k indexed · 2 hit papers · h-index 7
Topics
Natural Language Processing Techniques (3 papers)Topic Modeling (3 papers)Semantic Web and Ontologies (2 papers)

In The Last Decade

Alexandra Constantin

7 papers receiving 3.7k citations

Hit Papers

Moses20072026201320192007200710002.0k3.0k

Peers

Alexandra Constantin
Comparison fields: 5 of 78
  • Artificial Intelligence 4.2k
  • Computer Vision and Pattern Recognition 768
  • Molecular Biology 357
  • Information Systems 213
  • Language and Linguistics 189
Replace Brooke Cowan with:
Brooke Cowan United States
Hieu Hoang United Kingdom
Richard Zens Germany
Nianwen Xue United States
Nicola Bertoldi Italy
Barry Haddow United Kingdom
Christof Monz Netherlands
David Chiang United States
Matt Post United States
Johan Hall Sweden
Alexandra Constantin relative to Brooke Cowan United States Brooke Cowan's profile →
Citations per field
00.5×1.5×
Brooke Cowan · 1×
Citations per year

Countries citing papers authored by Alexandra Constantin

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Constantin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Constantin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Constantin. A scholar is included among the top collaborators of Alexandra Constantin 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 Alexandra Constantin. Alexandra Constantin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 11
2 41
3 14
4 14
5
Moses: Open Source Toolkit for Statistical Machine Translationbreakdown →
1105
6 3165
7
Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Lattice Decoding
6

About Alexandra Constantin

Alexandra Constantin is a scholar working on Genetics, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 4.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Computer Vision and Pattern Recognition (768 citations) and Language and Linguistics (189 citations). Alexandra Constantin has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Wade Shen, Hieu Hoang, Richard Zens, Ondřej Bojar, Philipp Koehn, Nicola Bertoldi, Chris Callison-Burch, Brooke Cowan, Chris Dyer and Marcello Federico. Their work appears in journals such as Spine, NMR in Biomedicine and Artificial Intelligence in Medicine.

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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