Jer Hayes

718 total citations
13 papers, 453 citations indexed

About

Jer Hayes is a scholar working on Artificial Intelligence, Language and Linguistics and Building and Construction. According to data from OpenAlex, Jer Hayes has authored 13 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 3 papers in Building and Construction. Recurrent topics in Jer Hayes's work include Semantic Web and Ontologies (4 papers), linguistics and terminology studies (4 papers) and Traffic Prediction and Management Techniques (3 papers). Jer Hayes is often cited by papers focused on Semantic Web and Ontologies (4 papers), linguistics and terminology studies (4 papers) and Traffic Prediction and Management Techniques (3 papers). Jer Hayes collaborates with scholars based in Ireland, United States and Italy. Jer Hayes's co-authors include Tony Veale, Nuno Seco, Veli Biçer, Freddy Lécué, Robert E. Tucker, Marco Luca Sbodio, Marcello Trovati, Nik Bessis, Francesco Palmieri and Anika Schumann and has published in prestigious journals such as Applied Soft Computing, IBM Journal of Research and Development and Language Resources and Evaluation.

In The Last Decade

Jer Hayes

12 papers receiving 417 citations

Peers

Jer Hayes

AI

MB

IS

CNC

CVPR

Claus Stadler Germany

Weidong Xiao China

Veli Biçer Ireland

Hongming Zhu China

Changjie Tang China

Achim Rettinger Germany

Tao-Yang Fu United States

L. V. Subramaniam India

Aravind Sankar United States

Claus Stadler Germany

Jer Hayes

441 ×1.5

AI

75 ×0.6

MB

181 ×2.2

IS

130 ×2.7

CNC

78 ×2.1

CVPR

Citations per year, relative to Jer Hayes Jer Hayes (= 1×) peers Claus Stadler

Countries citing papers authored by Jer Hayes

Since Specialization

Citations

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

Fields of papers citing papers by Jer Hayes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jer Hayes

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Hayes, Jer, et al.. (2017). A data centre air flow model for predicting computer server inlet temperatures. Arrow - TU Dublin (Technological University Dublin). 830–839. 2 indexed citations

2.

Trovati, Marcello, Jer Hayes, Francesco Palmieri, & Nik Bessis. (2017). Automated extraction of fragments of Bayesian networks from textual sources. Applied Soft Computing. 60. 508–519. 10 indexed citations

3.

Lécué, Freddy, et al.. (2014). Smart Traffic Analytics in the Semantic Web with Star-City: Scenarios, System and Lessons Learned in Dublin City. SSRN Electronic Journal. 9 indexed citations

4.

Lécué, Freddy, et al.. (2014). STAR-CITY. 179–188. 27 indexed citations

5.

Lécué, Freddy, et al.. (2014). Smart traffic analytics in the semantic web with STAR-CITY: Scenarios, system and lessons learned in Dublin City. Journal of Web Semantics. 27-28. 26–33. 47 indexed citations

6.

Hayes, Jer, et al.. (2013). The design and deployment of a real-time wide spectrum acoustic monitoring system for the ocean energy industry. 11. 1–4. 5 indexed citations

7.

Hayes, Jer, et al.. (2013). A real-time stream storage and analysis platform for underwater acoustic monitoring. IBM Journal of Research and Development. 57(3/4). 15:1–15:10. 4 indexed citations

8.

Schumann, Anika, et al.. (2011). Adaptable fault identification for smart buildings. National Conference on Artificial Intelligence. 44–47. 9 indexed citations

9.

Hayes, Jer, Nuno Seco, & Tony Veale. (2005). Creative discovery in the lexical “validation gap”. Computer Speech & Language. 19(4). 513–523. 1 indexed citations

10.

Hayes, Jer, Tony Veale, & Nuno Seco. (2004). Enriching WordNet Via Generative Metonymy and Creative Polysemy. Language Resources and Evaluation. 1 indexed citations

11.

Seco, Nuno, Tony Veale, & Jer Hayes. (2004). Concept Creation in Lexical Ontologies. Language Resources and Evaluation. 1 indexed citations

12.

Seco, Nuno, Tony Veale, & Jer Hayes. (2004). An intrinsic information content metric for semantic similarity in WordNet. European Conference on Artificial Intelligence. 1089–1090. 334 indexed citations

13.

Veale, Tony, Nuno Seco, & Jer Hayes. (2004). Creative discovery in lexical ontologies. 1333–es. 3 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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