Susan Gauch

4.3k total citations
92 papers, 2.0k citations indexed

About

Susan Gauch is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Susan Gauch has authored 92 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 48 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Susan Gauch's work include Semantic Web and Ontologies (27 papers), Web Data Mining and Analysis (26 papers) and Information Retrieval and Search Behavior (15 papers). Susan Gauch is often cited by papers focused on Semantic Web and Ontologies (27 papers), Web Data Mining and Analysis (26 papers) and Information Retrieval and Search Behavior (15 papers). Susan Gauch collaborates with scholars based in United States, Germany and Italy. Susan Gauch's co-authors include Alexander Pretschner, Xiaolan Zhu, Guijun Wang, Jianying Wang, Mario Gómez, John M. Gauch, John B. Smith, Mirco Speretta, John B. Smith and Sultan Alfarhood and has published in prestigious journals such as Nucleic Acids Research, Annals of the Rheumatic Diseases and Journal of Food Science.

In The Last Decade

Susan Gauch

86 papers receiving 1.7k citations

Peers

Susan Gauch
Falk Scholer Australia
Djoerd Hiemstra Netherlands
Jaap Kamps Netherlands
Jade Goldstein United States
Rosie Jones United States
Ian Soboroff United States
Kirsten Swearingen United States
Hugo Zaragoza United Kingdom
Raphaël Troncy France
Ka-Ping Yee United States
Falk Scholer Australia
Susan Gauch
Citations per year, relative to Susan Gauch Susan Gauch (= 1×) peers Falk Scholer

Countries citing papers authored by Susan Gauch

Since Specialization
Citations

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

Fields of papers citing papers by Susan Gauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Gauch

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Gauch. A scholar is included among the top collaborators of Susan Gauch 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 Susan Gauch. Susan Gauch 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
1.
2.
Swan, Matthew, et al.. (2023). Bridging the synthetic to measured SAR gap by splitting style and content. 39–39. 1 indexed citations
3.
Gauch, Susan, et al.. (2021). Lexicon-based sentiment analysis for stock movement prediction. 2(3). 5 indexed citations
4.
Gauch, Susan, et al.. (2018). Analyzing Social Networks of XML Plays: Exploring Shakespeare’s Genres. 368–370. 1 indexed citations
5.
Gauch, Susan, et al.. (2015). Conceptual Impact-Based Recommender System for CiteSeerx.. Conference on Recommender Systems. 50–53. 4 indexed citations
6.
Gauch, Susan, et al.. (2013). Personalized News Recommendation Using Twitter. 21–25. 40 indexed citations
7.
Gauch, Susan, et al.. (2011). Hybrid user preference models for second life and opensimulator virtual worlds. 87–98. 3 indexed citations
8.
Gauch, Susan, et al.. (2010). KeyConcept: Conceptual Search and Pruning Exploiting Concept Relationships. Journal of Intelligent Systems. 19(3). 265–288. 5 indexed citations
9.
Speretta, Mirco & Susan Gauch. (2009). Miology: A Web Application for Organizing Personal Domain Ontologies. 159–161. 5 indexed citations
10.
Gauch, Susan, et al.. (2006). KeyConcept: A Conceptual Search Engine. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1(1). 47–47. 10 indexed citations
11.
Gauch, Susan, et al.. (2004). Exploiting hierarchical relationships in conceptual search. 238–239. 15 indexed citations
12.
Gauch, Susan, et al.. (2003). Ontology-based personalized search and browsing. Web Intelligence and Agent Systems An International Journal. 1(3). 219–234. 214 indexed citations
13.
Gauch, Susan. (2002). BDEI: Biodiversity Information Organization using Taxonomy (BIOT). International Conference on Digital Government Research. 1–4. 1 indexed citations
14.
Gauch, Susan, et al.. (1997). An Adaptive Multi-Agent Architecture for the ProFusion* Meta Search System.. WebNet. 4 indexed citations
15.
Gauch, Susan & Guijun Wang. (1996). Information fusion with ProFusion.. WebNet. 27 indexed citations
16.
Gauch, Susan & Jianying Wang. (1996). Corpus Analysis for TREC 5 Query Expansion.. Text REtrieval Conference. 537–546. 4 indexed citations
17.
Gauch, Susan, Guijun Wang, & Mario Gómez. (1996). ProFusion: Intelligent Fusion from Multiple, Distributed Search Engines. Zenodo (CERN European Organization for Nuclear Research). 89 indexed citations
18.
Gauch, Susan, et al.. (1995). Automatic word similarity detection for TREC 4 query expansion. Text REtrieval Conference. 527–536. 12 indexed citations
19.
Gauch, Susan & Robert P. Futrelle. (1994). Experiments in automatic word class and word sense identification for information retrieval. Nucleic Acids Research. 50(W1). W568–W576. 13 indexed citations
20.
Gauch, Susan & John B. Smith. (1991). Search improvement via automatic query reformulation. ACM Transactions on Information Systems. 9(3). 249–280. 38 indexed citations

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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