Keith Cortis

402 total citations
10 papers, 166 citations indexed

About

Keith Cortis is a scholar working on Artificial Intelligence, Social Psychology and Statistical and Nonlinear Physics. According to data from OpenAlex, Keith Cortis has authored 10 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Keith Cortis's work include Sentiment Analysis and Opinion Mining (4 papers), Opinion Dynamics and Social Influence (2 papers) and Social Media and Politics (1 paper). Keith Cortis is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Opinion Dynamics and Social Influence (2 papers) and Social Media and Politics (1 paper). Keith Cortis collaborates with scholars based in Germany, Ireland and Switzerland. Keith Cortis's co-authors include Siegfried Handschuh, Brian Davis, André Freitas, Manel Zarrouk, Simon Scerri, Adamantios Koumpis, Judie Attard, Mohamed Bourimi, Rudi Villing and Aphra Kerr and has published in prestigious journals such as Administrative Sciences, Paladyn Journal of Behavioral Robotics and ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway).

In The Last Decade

Keith Cortis

8 papers receiving 154 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keith Cortis Germany 6 137 58 22 20 13 10 166
Orestes Appel United Kingdom 6 267 1.9× 46 0.8× 45 2.0× 79 4.0× 7 0.5× 7 301
Cem Akkaya United States 7 251 1.8× 14 0.2× 17 0.8× 39 1.9× 9 0.7× 11 297
Jan Deriu Switzerland 7 225 1.6× 13 0.2× 15 0.7× 33 1.6× 10 0.8× 23 264
M. S. Neethu India 3 249 1.8× 34 0.6× 51 2.3× 99 5.0× 12 0.9× 6 296
Paolo Turrini United Kingdom 7 71 0.5× 65 1.1× 40 1.8× 7 0.3× 6 0.5× 41 165
Aasish Pappu United States 8 168 1.2× 13 0.2× 20 0.9× 44 2.2× 31 2.4× 29 217
Chong Teng China 8 294 2.1× 48 0.8× 10 0.5× 44 2.2× 4 0.3× 35 335
Mohammad Abid Khan Pakistan 9 316 2.3× 15 0.3× 17 0.8× 36 1.8× 7 0.5× 30 336
Lingjia Deng United States 8 271 2.0× 13 0.2× 32 1.5× 27 1.4× 19 1.5× 15 299
Isa Maks Netherlands 7 199 1.5× 16 0.3× 32 1.5× 44 2.2× 2 0.2× 18 229

Countries citing papers authored by Keith Cortis

Since Specialization
Citations

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

Fields of papers citing papers by Keith Cortis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Cortis

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

All Works

10 of 10 papers shown
1.
Attard, Judie & Keith Cortis. (2023). A Study on the Enablers and Challenges of Co-Creation for the Digital Common Household Unit Integrated Public Service in Malta. Administrative Sciences. 13(2). 29–29. 3 indexed citations
2.
Cortis, Keith, Aphra Kerr, Marc Hesse, et al.. (2021). CASIE – Computing affect and social intelligence for healthcare in an ethical and trustworthy manner. Paladyn Journal of Behavioral Robotics. 12(1). 437–453.
3.
Cortis, Keith & Brian Davis. (2021). A Dataset of Multidimensional and Multilingual Social Opinions for Malta’s Annual Government Budget. Proceedings of the International AAAI Conference on Web and Social Media. 15. 971–981. 1 indexed citations
4.
Cortis, Keith & Brian Davis. (2019). A Social Opinion Gold Standard for the Malta Government Budget 2018. 364–369. 3 indexed citations
5.
Cortis, Keith, et al.. (2017). SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 519–535. 102 indexed citations
6.
Davis, Brian, et al.. (2016). Social sentiment indices powered by X-scores. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 9 indexed citations
7.
Davis, Brian, et al.. (2016). A Twitter Sentiment Gold Standard for the Brexit Referendum. 193–196. 15 indexed citations
8.
Cortis, Keith & Siegfried Handschuh. (2015). Analysis of cyberbullying tweets in trending world events. Zenodo (CERN European Organization for Nuclear Research). 1–8. 19 indexed citations
9.
Scerri, Simon, et al.. (2012). Knowledge Discovery in Distributed Social Web Sharing Activities.. 26–33. 9 indexed citations
10.
Bourimi, Mohamed, et al.. (2012). Integrating multi-source user data to enhance privacy in social interaction. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–7. 5 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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