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).
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.
Tkaczyk, Dominika, et al.. (2018). Evaluation and Comparison of Open Source Bibliographic Reference Parsers: A Business Use Case..4 indexed citations
4.
Afli, Haithem, et al.. (2016). Using SMT for OCR error correction of historical texts.25 indexed citations
5.
Tinsley, John, Andy Way, & Páraic Sheridan. (2010). PLuTO: MT for On-Line Patent Translation. Conference of the Association for Machine Translation in the Americas.10 indexed citations
6.
O’Hare, Neil, et al.. (2009). Exploring the use of paragraph-level annotations for sentiment analysis of financial blogs. Arrow@dit (Dublin Institute of Technology).16 indexed citations
7.
Habash, Nizar, et al.. (2006). Design, Construction and Validation of an Arabic-English Conceptual Interlingua for Cross-lingual Information Retrieval.. Language Resources and Evaluation. 107–112.2 indexed citations
8.
Peters, C & Páraic Sheridan. (2001). Multilingual Access for Information Systems..3 indexed citations
9.
Ruiz, Miguel E., et al.. (2000). CINDOR TREC-9 English-Chinese Evaluation.. Text REtrieval Conference.3 indexed citations
10.
Ruiz, Miguel E., Anne R. Diekema, & Páraic Sheridan. (1999). CINDOR Conceptual Interlingua Document Retrieval: TREC-8 Evaluation. Digital Commons - USU (Utah State University).20 indexed citations
11.
Scháuble, Peter & Páraic Sheridan. (1998). Cross-Language Information Retrieval (CLIR) Track Overview.. Text REtrieval Conference. 31–43.59 indexed citations
12.
Diekema, Anne R., Farhad Oroumchian, Páraic Sheridan, & Elizabeth D. Liddy. (1998). TREC-7 Evaluation of Conceptual Interlingua Document Retrieval (CINDOR) in English and French. Text REtrieval Conference. 116–127.9 indexed citations
13.
Sheridan, Páraic, et al.. (1997). ETH TREC-6 : Routing, Chinese, Cross-Language and Spoken Document Retrieval. Text REtrieval Conference. 623–635.8 indexed citations
Scháuble, Peter, et al.. (1996). SPIDER Retrieval System at TREC-5.. Text REtrieval Conference. 217–228.21 indexed citations
17.
Scháuble, Peter, et al.. (1995). Highlighting Relevant Passages for Users of the Interactive SPIDER Retrieval System.. Text REtrieval Conference. 233–243.20 indexed citations
Smeaton, Alan F. & Páraic Sheridan. (1991). Using morpho-syntactic language analysis in phrase matching.. 414–430.8 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.