Synthesis lectures on human language technologies

9.9k citations
229 papers · · active since 1950

Impact in

    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies
    • Text Readability and Simplification
    • Spam and Phishing Detection

Papers in

    • Natural Language Processing Techniques 100
    • Topic Modeling 77
    • Semantic Web and Ontologies 23
    • Advanced Text Analysis Techniques 23
    • Speech and dialogue systems 21
    • Sentiment Analysis and Opinion Mining 14
    • Text Readability and Simplification 10
    • Text and Document Classification Technologies 10

Synthesis lectures on human language technologies

129 papers receiving 8.4k citations

Peers

Synthesis lectures on human language technologies
Comparison fields: 5 of 167
  • Artificial Intelligence 7.6k
  • Information Systems 2.1k
  • General Social Sciences 119
  • Management Science and Operations Research 443
  • Communication 245
Replace ACM Transactions on Interactive Intelligent Systems with:
ACM Transactions on Interactive Intelligent Systems United States
International Journal of Information Management Data Insights India
Human-centric Computing and Information Sciences South Korea
Smart Learning Environments United States
Applied Ontology United States
Applied Computing and Informatics India
Journal of Learning Analytics United States
Quantitative Science Studies United States
Journal of Interactive Advertising United States
ACM Transactions on Asian Language Information Processing United States
Synthesis lectures on human language technologies relative to ACM Transactions on Interactive Intelligent Systems United States ACM Transactions on Interactive Intelligent Systems's profile →
Citations per field
00.5×1.5×2.0×
ACM Transactions on Interactive Intelligent Systems · 1×
Citations per year

Countries where authors publish in Synthesis lectures on human language technologies

Since Specialization
Citations

This map shows the geographic impact of research published in Synthesis lectures on human language technologies. 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 papers published in Synthesis lectures on human language technologies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Synthesis lectures on human language technologies more than expected).

Fields of papers published in Synthesis lectures on human language technologies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Synthesis lectures on human language technologies. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Synthesis lectures on human language technologies.

About Synthesis lectures on human language technologies

The 229 papers published in Synthesis lectures on human language technologies in the last decades have received a total of 9.9k indexed citations . Papers published in Synthesis lectures on human language technologies usually cover Artificial Intelligence (146 papers), Information Systems (20 papers), Language and Linguistics (6 papers), Computer Vision and Pattern Recognition (8 papers) and Literature and Literary Theory (4 papers) specifically the topics of Natural Language Processing Techniques (100 papers), Topic Modeling (77 papers), Semantic Web and Ontologies (23 papers), Advanced Text Analysis Techniques (23 papers), Speech and dialogue systems (21 papers), Sentiment Analysis and Opinion Mining (14 papers), Text Readability and Simplification (10 papers) and Text and Document Classification Technologies (10 papers). The most active scholars publishing in Synthesis lectures on human language technologies are Bing Liu, Yoav Goldberg, Nizar Habash, Emily M. Bender, Michael McTear, Hang Li, Jimmy Lin, Michael Piotrowski, Chris Dyer and Manfred Stede.

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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