Sanda M. Harabagiu

142 papers receiving 3.4k citations

Peers

Sanda M. Harabagiu
Comparison fields: 5 of 104
  • Artificial Intelligence 3.8k
  • Information Systems 684
  • Molecular Biology 592
  • Computer Vision and Pattern Recognition 179
  • Management Science and Operations Research 158
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Citations per year

Countries citing papers authored by Sanda M. Harabagiu

Since Specialization
Citations

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

Fields of papers citing papers by Sanda M. Harabagiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanda M. Harabagiu. 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 Sanda M. Harabagiu. The network helps show where Sanda M. Harabagiu may publish in the future.

Co-authorship network of co-authors of Sanda M. Harabagiu

This figure shows the co-authorship network connecting the top 25 collaborators of Sanda M. Harabagiu. A scholar is included among the top collaborators of Sanda M. Harabagiu 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 Sanda M. Harabagiu. Sanda M. Harabagiu 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 12
2
UTD-SpRL: A Joint Approach to Spatial Role Labeling
19
3
EmpaTweet: Annotating and Detecting Emotions on Twitter
133
4
UTDHLT: COPACETIC System for Choosing Plausible Alternatives
11
5
Unsupervised Learning of Selectional Restrictions and Detection of Argument Coercions
5
6
Using clustering methods for discovering event structures
4
7
Impact of Question Decomposition on the Quality of Answer Summaries.
15
8
Question answering based on temporal inference
26
9
Employing two question answering systems in TREC-2005
48
10
Shallow semantics for relation extraction
33
11
Semantic parsing based on FrameNet
5
12
Strategies for Advanced Question Answering
10
13
Automatic Discovery of Linguistic Patterns for Information Extraction
1
14
Just-In-Time Question Answering.
3
15
Dialogue Management for Interactive Question Answering
1
16
FALCON: Boosting Knowledge for Answer Engines
173
17
Enriching the WordNet taxonomy with contextual knowledge acquired from text
14
18
Mining Textual Answers with Knowledge-Based Indicators
1
19
LASSO: A Tool for Surfing the Answer Net
109
20
Integrating Symbolic and Statistical Methods for Prepositional Phrase Attachment
3

About Sanda M. Harabagiu

Sanda M. Harabagiu is a scholar working on Artificial Intelligence, Health Information Management and Information Systems, having authored 152 papers that have together received 4.1k indexed citations. Recurring topics across this work include Topic Modeling (114 papers), Natural Language Processing Techniques (98 papers) and Semantic Web and Ontologies (46 papers). The work is most often cited by research in Artificial Intelligence (3.8k citations), Information Systems (684 citations) and Health Informatics (26 citations). Sanda M. Harabagiu has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Dan Moldovan, Marius Paşca, Andrew Hickl, Mihai Surdeanu, Bryan Rink, Kirk Roberts, Cosmin A. Bejan, Finley Lăcătuşu, Steven J. Maiorano and Travis R. Goodwin. Their work appears in journals such as Journal of the American Medical Informatics Association, IEEE Transactions on Parallel and Distributed Systems and Brain and Cognition.

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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