Páraic Sheridan

990 citations
25 papers · 530 indexed · h-index 13
Topics
Natural Language Processing Techniques (16 papers)Topic Modeling (11 papers)Semantic Web and Ontologies (8 papers)

In The Last Decade

Páraic Sheridan

25 papers receiving 438 citations

Peers

Páraic Sheridan
Comparison fields: 5 of 43
  • Artificial Intelligence 451
  • Information Systems 160
  • Computer Vision and Pattern Recognition 58
  • Management Science and Operations Research 39
  • Signal Processing 27
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Countries citing papers authored by Páraic Sheridan

Since Specialization
Citations

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

Fields of papers citing papers by Páraic Sheridan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Páraic Sheridan

This figure shows the co-authorship network connecting the top 25 collaborators of Páraic Sheridan. A scholar is included among the top collaborators of Páraic Sheridan 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 Páraic Sheridan. Páraic Sheridan 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 2
2
Evaluation and Comparison of Open Source Bibliographic Reference Parsers: A Business Use Case.
4
3 22
4
Using SMT for OCR error correction of historical texts
25
5
PLuTO: MT for On-Line Patent Translation
10
6
Design, Construction and Validation of an Arabic-English Conceptual Interlingua for Cross-lingual Information Retrieval.
2
7
Multilingual Access for Information Systems.
3
8
CINDOR TREC-9 English-Chinese Evaluation.
3
9
CLIR Evaluation at TREC Cross-Language Information Retrieval and Evaluation
1
10
CINDOR Conceptual Interlingua Document Retrieval: TREC-8 Evaluation
20
11
TREC-7 Evaluation of Conceptual Interlingua Document Retrieval (CINDOR) in English and French
9
12
Cross-Language Information Retrieval (CLIR) Track Overview.
59
13
ETH TREC-6 : Routing, Chinese, Cross-Language and Spoken Document Retrieval
8
14 7
15 20
16
SPIDER Retrieval System at TREC-5.
21
17 123
18
Highlighting Relevant Passages for Users of the Interactive SPIDER Retrieval System.
20
19 22
20
Using morpho-syntactic language analysis in phrase matching.
8

About Páraic Sheridan

Páraic Sheridan is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 25 papers that have together received 530 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (11 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Artificial Intelligence (451 citations), Information Systems (160 citations) and Management Science and Operations Research (39 citations). Páraic Sheridan has collaborated with scholars based in Ireland, Switzerland and Iceland. Frequent co-authors include Peter Scháuble, Alan F. Smeaton, Neil O’Hare, Adam Bermingham, Cathal Gurrin, Andy Way, Anne R. Diekema, Joeran Beel, Miguel E. Ruiz and Dominika Tkaczyk. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Processing & Management and Language Resources and Evaluation.

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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