Georgina Cosma

132 total papers · 2.5k total citations
77 papers, 1.6k citations indexed

About

Georgina Cosma is a scholar working on Artificial Intelligence, Information Systems and Safety Research. According to data from OpenAlex, Georgina Cosma has authored 77 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 16 papers in Information Systems and 14 papers in Safety Research. Recurrent topics in Georgina Cosma's work include Academic integrity and plagiarism (13 papers), Sentiment Analysis and Opinion Mining (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Georgina Cosma is often cited by papers focused on Academic integrity and plagiarism (13 papers), Sentiment Analysis and Opinion Mining (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Georgina Cosma collaborates with scholars based in United Kingdom, Iraq and Cyprus. Georgina Cosma's co-authors include Mike Joy, Aboozar Taherkhani, T.M. McGinnity, Liam Maguire, Yuhua Li, Ammar Belatreche, Giovanni Acampora, David J. Brown, A. Graham Pockley and Masood A. Khan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Georgina Cosma

71 papers receiving 1.6k citations

Hit Papers

A review of learning in b... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Georgina Cosma 571 343 305 297 234 77 1.6k
Jaesik Choi 976 1.7× 96 0.3× 119 0.4× 141 0.5× 377 1.6× 85 2.1k
Peter Vamplew 1.3k 2.3× 264 0.8× 158 0.5× 98 0.3× 97 0.4× 79 2.3k
Robert B. Allen 467 0.8× 258 0.8× 59 0.2× 79 0.3× 225 1.0× 96 1.3k
Ruggero Donida Labati 392 0.7× 419 1.2× 85 0.3× 128 0.4× 920 3.9× 74 1.9k
Hakil Kim 191 0.3× 146 0.4× 225 0.7× 93 0.3× 800 3.4× 152 1.9k
Yutaka Watanobe 543 1.0× 444 1.3× 87 0.3× 47 0.2× 96 0.4× 125 1.6k
Rahat Iqbal 496 0.9× 494 1.4× 340 1.1× 42 0.1× 167 0.7× 104 1.6k
Yunfeng Zhang 572 1.0× 70 0.2× 150 0.5× 143 0.5× 760 3.2× 109 1.9k
Jie M. Zhang 898 1.6× 703 2.0× 118 0.4× 243 0.8× 124 0.5× 72 2.1k
Péter András 371 0.6× 212 0.6× 118 0.4× 52 0.2× 187 0.8× 101 1.5k

Countries citing papers authored by Georgina Cosma

Since Specialization
Citations

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

Fields of papers citing papers by Georgina Cosma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgina Cosma

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

All Works

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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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