Georgina Cosma
- Artificial Intelligence top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Safety Research top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Mike JoyAboozar TaherkhaniT.M. McGinnityLiam MaguireAmmar BelatrecheYuhua LiGiovanni AcamporaDavid J. Brown
- Topics
- Academic integrity and plagiarism (13 papers)Sentiment Analysis and Opinion Mining (8 papers)Software Engineering Research (7 papers)
- Partner nations
- United KingdomIraqChina
In The Last Decade
Georgina Cosma
72 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 580
- Information Systems 343
- Electrical and Electronic Engineering 310
- Safety Research 299
- Computer Vision and Pattern Recognition 234
Countries citing papers authored by Georgina Cosma
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 13 | |
| 14 | A review of learning in biologically plausible spiking neural networksbreakdown → | 268 |
| 15 | 54 | |
| 16 | 9 | |
| 17 | 44 | |
| 18 | Evaluating the performance of LSA for source-code plagiarism detection | 18 |
| 19 | A taxonomy of plagiarism in computer science | 10 |
| 20 | 1 |
About Georgina Cosma
Georgina Cosma is a scholar working on Health Informatics, Safety Research and Artificial Intelligence, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Academic integrity and plagiarism (13 papers), Sentiment Analysis and Opinion Mining (8 papers) and Software Engineering Research (7 papers). The work is most often cited by research in Health Informatics (58 citations), Safety Research (299 citations) and Signal Processing (220 citations). Georgina Cosma has collaborated with scholars based in United Kingdom, Iraq and China. Frequent co-authors include Mike Joy, Aboozar Taherkhani, T.M. McGinnity, Liam Maguire, Ammar Belatreche, Yuhua Li, Giovanni Acampora, David J. Brown, A. Graham Pockley and Masood A. Khan. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.