Dan Moldovan

8.1k citations
209 papers · 5.5k · h-index 40

Impact in

Papers in

    • Natural Language Processing Techniques 129
    • Topic Modeling 118
    • Semantic Web and Ontologies 74
    • Speech and dialogue systems 30
    • Advanced Text Analysis Techniques 19
    • Parallel Computing and Optimization Techniques 12

Dan Moldovan

194 papers receiving 4.6k citations

Peers

Dan Moldovan
Comparison fields: 5 of 115
  • Artificial Intelligence 4.5k
  • Hardware and Architecture 419
  • Information Systems 914
  • Computer Networks and Communications 555
  • Computational Theory and Mathematics 287
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Citations per field
00.5×2.8×
John Lamping · 1×
Citations per year

Countries citing papers authored by Dan Moldovan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Moldovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Moldovan, 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 Dan Moldovan Line = papers co-authored together Dan Moldovan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983316
2
FALCON: Boosting Knowledge for Answer Engines
2000213
3 2003193
4 2006190
5 2003178
6 2000143
7 2003139
8 2002135
9
LASSO: A Tool for Surfing the Answer Net
1999133
10
Text Mining for Causal Relations
2002124
11 2000121
12
WordNet 2 - A Morphologically and Semantically Enhanced Resource
1999118
13 2005116
14 2000109
15 1999108
16
Issues, Tasks and Program Structures to Roadmap Research in Question & Answering (Q&A)
2003105
17 2001101
18 200297
19 200495
20 199594

About Dan Moldovan

Dan Moldovan is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Information Systems and Molecular Biology, having authored 209 papers that have together received 5.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (129 papers), Topic Modeling (118 papers), Semantic Web and Ontologies (74 papers), Speech and dialogue systems (30 papers), Advanced Text Analysis Techniques (19 papers), Parallel Computing and Optimization Techniques (12 papers), Service-Oriented Architecture and Web Services (10 papers) and Interconnection Networks and Systems (8 papers). The work is most often cited by research in Artificial Intelligence (4.5k citations), Hardware and Architecture (419 citations), Information Systems (914 citations), Computer Networks and Communications (555 citations) and Computational Theory and Mathematics (287 citations). Dan Moldovan has collaborated with scholars based in United States, South Korea and Romania. Frequent co-authors include Rada Mihalcea, Roxana Gîrju, Sanda M. Harabagiu, Adriana Badulescu, Vasile Rus, Marta Tatu, Marius Paşca, Mihai Surdeanu, Eduardo Blanco and Christine Clark. Their work appears in journals such as Journal of Parallel and Distributed Computing, Language Resources and Evaluation, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Knowledge and Data Engineering and Natural Language Engineering.

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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