Adriana Badulescu

869 citations
10 papers · 538 indexed · h-index 7

Adriana Badulescu

10 papers receiving 443 citations

Peers

Adriana Badulescu
Comparison fields: 5 of 32
  • Artificial Intelligence 513
  • Information Systems 76
  • Communication 15
  • Language and Linguistics 21
  • Management Science and Operations Research 13
Replace Tatsunori Mori with:
Tatsunori Mori Japan
Abdessamad Echihabi United States
Christian M. Meyer Germany
Jordi Atserias Spain
Laurie Gerber United States
Hristo Tanev Italy
Olivier Ferret France
Jussi Kurki Finland
Sharon A. Caraballo United States
Valentin Jijkoun Netherlands
Adriana Badulescu relative to Tatsunori Mori Japan Tatsunori Mori's profile →
Citations per field
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Tatsunori Mori · 1×
Citations per year

Countries citing papers authored by Adriana Badulescu

Since Specialization
Citations

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

Fields of papers citing papers by Adriana Badulescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside Adriana Badulescu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adriana Badulescu Line = papers co-authored together Adriana Badulescu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20087
2 20073
3 2006152
4 200517
5
LCC’s WSD systems for Senseval-3
20044
6 200489
7
Classification of semantic relations between nouns
20045
8 2003146
9 2002106
10 20029

About Adriana Badulescu

Adriana Badulescu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Infectious Diseases, Organic Chemistry and Surgery, having authored 10 papers that have together received 538 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers), Semantic Web and Ontologies (3 papers), Speech and dialogue systems (3 papers), Sensor Technology and Measurement Systems (1 paper), Text Readability and Simplification (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (513 citations), Information Systems (76 citations), Communication (15 citations), Language and Linguistics (21 citations) and Management Science and Operations Research (13 citations). Adriana Badulescu has collaborated with scholars based in United States, Israel and Romania. Frequent co-authors include Dan Moldovan, Roxana Gîrju, Marta Tatu, Sanda M. Harabagiu, Paul Morǎrescu and Munirathnam Srikanth. Their work appears in journals such as Computational Linguistics, Natural Language Engineering, International Journal of Speech Technology, Text REtrieval Conference and Meeting of the Association for Computational Linguistics.

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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