Seán Slattery

2.0k total citations
9 papers, 1.2k citations indexed

About

Seán Slattery is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Seán Slattery has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Seán Slattery's work include Web Data Mining and Analysis (6 papers), Natural Language Processing Techniques (4 papers) and Text and Document Classification Technologies (3 papers). Seán Slattery is often cited by papers focused on Web Data Mining and Analysis (6 papers), Natural Language Processing Techniques (4 papers) and Text and Document Classification Technologies (3 papers). Seán Slattery collaborates with scholars based in United States, Slovenia and Switzerland. Seán Slattery's co-authors include Mark Craven, Dayne Freitag, Andrew McCallum, Kamal Nigam, Rayid Ghani, Yiming Yang, Tom M. Mitchell, T. M. Mitchell, M.A. Siegler and Kristie Seymore and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Parasitology.

In The Last Decade

Seán Slattery

8 papers receiving 975 citations

Peers

Seán Slattery

AI

IS

CVPR

CNC

SP

Chinatsu Aone United States

Giambattista Amati Italy

Tobun D. Ng United States

Nadav Eiron United States

Ron Papka United States

Mohand Boughanem France

Cornelis J. van Rijsbergen United Kingdom

Mathias Niepert United States

Kunal Punera United States

Károly Csalogány Hungary

Chinatsu Aone United States

Seán Slattery

1.2k ×1.3

AI

326 ×0.5

IS

163 ×1.2

CVPR

71 ×0.6

CNC

142 ×1.3

SP

Citations per year, relative to Seán Slattery Seán Slattery (= 1×) peers Chinatsu Aone

Countries citing papers authored by Seán Slattery

Since Specialization

Citations

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

Fields of papers citing papers by Seán Slattery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seán Slattery

This figure shows the co-authorship network connecting the top 25 collaborators of Seán Slattery. A scholar is included among the top collaborators of Seán Slattery 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 Seán Slattery. Seán Slattery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Yang, Yiming, Seán Slattery, & Rayid Ghani. (2002). A Study of Approaches to Hypertext Categorization. Journal of Intelligent Information Systems. 18(2-3). 219–241. 195 indexed citations

2.

Ghani, Rayid, Seán Slattery, & Yiming Yang. (2001). Hypertext Categorization using Hyperlink Patterns and Meta Data. International Conference on Machine Learning. 178–185. 40 indexed citations

3.

Craven, Mark & Seán Slattery. (2001). Relational Learning with Statistical Predicate Invention: Better Models for Hypertext. Machine Learning. 43(1-2). 97–119. 78 indexed citations

4.

Slattery, Seán & Tom M. Mitchell. (2000). Discovering Test Set Regularities in Relational Domains. International Conference on Machine Learning. 895–902. 54 indexed citations

5.

Craven, Mark, Dayne Freitag, Andrew McCallum, et al.. (2000). Learning to construct knowledge bases from the World Wide Web. Artificial Intelligence. 118(1-2). 69–113. 285 indexed citations

6.

Ghani, Rayid & Seán Slattery. (2000). Data Mining on Symbolic Knowledge Extracted from the Web. 39 indexed citations

7.

Siegler, M.A., et al.. (1998). Experiments in Spoken Document Retrieval at CMU. Defense Technical Information Center (DTIC). 291–302. 19 indexed citations

8.

Craven, Mark, Dayne Freitag, Andrew McCallum, et al.. (1998). Learning to extract symbolic knowledge from the World Wide Web. National Conference on Artificial Intelligence. 509–516. 443 indexed citations

9.

Finn, Donal, Seán Slattery, & Pádraig Cunningham. (1993). Modelling of Engineering Thermal Problems: An Implementation using CBR with Derivational Analogy. Parasitology. 142(1). 25–35. 1 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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