Ed de Quincey
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Science Applications top 5%
- Sociology and Political Science
- Communication top 10%
- Co-authors
- Péter AndrásEva Haifa GiraudElizabeth PooleTheocharis KyriacouPatty KostkovaRichard I. WallerChris BriggsMarian Petre
- Topics
- Social Media and Politics (6 papers)Hate Speech and Cyberbullying Detection (5 papers)E-Learning and Knowledge Management (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC BioinformaticsJournal of Antimicrobial Chemotherapy
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ed de Quincey
25 papers receiving 304 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 92
- Information Systems 86
- Computer Science Applications 70
- Sociology and Political Science 68
- Communication 44
Countries citing papers authored by Ed de Quincey
This map shows the geographic impact of Ed de Quincey'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 Ed de Quincey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed de Quincey more than expected).
Fields of papers citing papers by Ed de Quincey
This network shows the impact of papers produced by Ed de Quincey. 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 Ed de Quincey. The network helps show where Ed de Quincey may publish in the future.
Co-authorship network of co-authors of Ed de Quincey
This figure shows the co-authorship network connecting the top 25 collaborators of Ed de Quincey. A scholar is included among the top collaborators of Ed de Quincey 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 Ed de Quincey. Ed de Quincey 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 | 4 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 17 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | Potential of Social Media to Determine Hay Fever Seasons and Drug Efficacy | 4 |
| 14 | 8 | |
| 15 | eBug--teaching children hygiene principles using educational games. | 9 |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 19 | |
| 19 | Visualising web server logs for a Web 1.0 audience using Web 2.0 technologies: eliciting attributes for recommendation and profiling systems | 1 |
| 20 | A gentle overview of software visualisation | 15 |
About Ed de Quincey
Ed de Quincey is a scholar working on Communication, Computer Science Applications and Human-Computer Interaction, having authored 28 papers that have together received 321 indexed citations. Recurring topics across this work include Social Media and Politics (6 papers), Hate Speech and Cyberbullying Detection (5 papers) and E-Learning and Knowledge Management (5 papers). The work is most often cited by research in Computer Science Applications (70 citations), Communication (44 citations) and Health Informatics (7 citations). Ed de Quincey has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Péter András, Eva Haifa Giraud, Elizabeth Poole, Theocharis Kyriacou, Patty Kostkova, Richard I. Waller, Chris Briggs, Marian Petre, Pearl Brereton and Babatunde Kazeem Olorisade. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Journal of Antimicrobial Chemotherapy.
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.