Ana-Maria Popescu

7.0k citations
32 papers · 3.9k indexed · 3 hit papers · h-index 16
Topics
Topic Modeling (12 papers)Advanced Text Analysis Techniques (7 papers)Sentiment Analysis and Opinion Mining (6 papers)
Journals
Artificial IntelligenceIRISEmpirical Methods in Natural Language Processing

In The Last Decade

Ana-Maria Popescu

31 papers receiving 3.4k citations

Hit Papers

Extracting product features and opinions from reviews20042026201120182005200520042505007501000

Peers

Ana-Maria Popescu
Comparison fields: 5 of 92
  • Artificial Intelligence 3.3k
  • Information Systems 1.3k
  • Sociology and Political Science 371
  • Statistical and Nonlinear Physics 337
  • Management Science and Operations Research 322
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Citations per field
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Citations per year

Countries citing papers authored by Ana-Maria Popescu

Since Specialization
Citations

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

Fields of papers citing papers by Ana-Maria Popescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana-Maria Popescu. 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 Ana-Maria Popescu. The network helps show where Ana-Maria Popescu may publish in the future.

Co-authorship network of co-authors of Ana-Maria Popescu

This figure shows the co-authorship network connecting the top 25 collaborators of Ana-Maria Popescu. A scholar is included among the top collaborators of Ana-Maria Popescu 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 Ana-Maria Popescu. Ana-Maria Popescu 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 63
2
Mining Potential Domain Expertise in Pinterest.
5
3 4
4
Board Recommendation in Pinterest.
9
5 4
6
Linking Named Entities to Any Database
17
7 194
8 5
9 87
10
Detecting controversies in Twitter: a first study
5
11 157
12 165
13
Using wikipedia and supersense tagging for semi-automatic complex taxonomy construction
3
14
Information extraction from unstructured web text
13
15
Sensor-based understanding of daily life via large-scale use of common sense
49
16
Unsupervised named-entity extraction from the Web: An experimental studybreakdown →
710
17
Extracting product features and opinions from reviewsbreakdown →
1154
18 97
19
Methods for domain-independent information extraction from the web: an experimental comparison
73
20
PRECISE on ATIS: semantic tractability and experimental results
3

About Ana-Maria Popescu

Ana-Maria Popescu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Communication, having authored 32 papers that have together received 3.9k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Information Systems (1.3k citations) and Statistical and Nonlinear Physics (337 citations). Ana-Maria Popescu has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Oren Etzioni, Marco Pennacchiotti, Alexander Yates, Stephen Soderland, Daniel S. Weld, Doug Downey, Michael Cafarella, Tal Shaked, Henry Kautz and Stanley Kok. Their work appears in journals such as Artificial Intelligence, IRIS and Empirical Methods in Natural Language Processing.

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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