Swapna Somasundaran

31 papers receiving 1.2k citations

Peers

Swapna Somasundaran
Comparison fields: 5 of 63
  • Artificial Intelligence 1.2k
  • Information Systems 198
  • Sociology and Political Science 125
  • Statistical and Nonlinear Physics 106
  • Communication 59
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Patricio Martínez-Barco Spain
Yohan Jo United States
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Swapna Somasundaran relative to Patricio Martínez-Barco Spain Patricio Martínez-Barco's profile →
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Citations per year

Countries citing papers authored by Swapna Somasundaran

Since Specialization
Citations

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

Fields of papers citing papers by Swapna Somasundaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swapna Somasundaran

This figure shows the co-authorship network connecting the top 25 collaborators of Swapna Somasundaran. A scholar is included among the top collaborators of Swapna Somasundaran 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 Swapna Somasundaran. Swapna Somasundaran 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
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Training and domain adaptation for supervised text segmentation
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7
The Key Practice, Building and Sharing Stories and Social Understandings: The Intrinsic Value of Narrative. Research Report. ETS RR-19-31.
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8 1
9 5
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Evaluating Argumentative and Narrative Essays using Graphs
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Lexical Chaining for Measuring Discourse Coherence Quality in Test-taker Essays
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A combination of topic models with max-margin learning for relation detection
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Discourse-level relations for opinion analysis
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Recognizing Stances in Ideological On-Line Debates
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Finding the Sources and Targets of Subjective Expressions
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QA with Attitude: Exploiting Opinion Type Analysis for Improving Question Answering in On-line Discussions and the News
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19 63
20 10

About Swapna Somasundaran

Swapna Somasundaran is a scholar working on Artificial Intelligence, Speech and Hearing and Developmental and Educational Psychology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Sentiment Analysis and Opinion Mining (15 papers) and Natural Language Processing Techniques (15 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (198 citations) and Statistical and Nonlinear Physics (106 citations). Swapna Somasundaran has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Janyce Wiebe, Josef Ruppenhofer, Theresa Wilson, Paul Hoffmann, Yejin Choi, Siddharth Patwardhan, Jason S. Kessler, Ellen Riloff, Claire Cardie and Jill Burstein. Their work appears in journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics 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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