Tony Mullen
- Artificial Intelligence top 2%
- Information Systems top 5%
- Molecular Biology
- Sociology and Political Science
- Language and Linguistics top 10%
- Co-authors
- Nigel CollierRobert MaloufYoko MizutaChristine AppelAnna KorhonenMiles OsborneKoichi TakeuchiAi Kawazoe
- Topics
- Topic Modeling (7 papers)Sentiment Analysis and Opinion Mining (4 papers)Biomedical Text Mining and Ontologies (4 papers)
- Partner nations
- JapanNetherlandsUnited States
In The Last Decade
Tony Mullen
16 papers receiving 733 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 704
- Information Systems 157
- Molecular Biology 81
- Sociology and Political Science 70
- Language and Linguistics 44
Countries citing papers authored by Tony Mullen
This map shows the geographic impact of Tony Mullen'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 Tony Mullen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Mullen more than expected).
Fields of papers citing papers by Tony Mullen
This network shows the impact of papers produced by Tony Mullen. 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 Tony Mullen. The network helps show where Tony Mullen may publish in the future.
Co-authorship network of co-authors of Tony Mullen
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Mullen. A scholar is included among the top collaborators of Tony Mullen 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 Tony Mullen. Tony Mullen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | Prototyping Augmented Reality | 20 |
| 4 | Blender Studio Projects: Digital Movie-Making | 0 |
| 5 | Mastering Blender | 9 |
| 6 | 87 | |
| 7 | Bounce, Tumble, and Splash!: Simulating the Physical World with Blender 3D | 2 |
| 8 | Introducing Character Animation with Blender | 4 |
| 9 | A Preliminary Investigation into Sentiment Analysis of Informal Political Discourse. | 92 |
| 10 | 81 | |
| 11 | 25 | |
| 12 | Sentiment Analysis using Support Vector Machines with Diverse Information Sources | 442 |
| 13 | 17 | |
| 14 | Annotation of Biomedical Texts for Zone Analysis | 3 |
| 15 | 0 | |
| 16 | 10 | |
| 17 | 39 | |
| 18 | 2 |
About Tony Mullen
Tony Mullen is a scholar working on Language and Linguistics, Artificial Intelligence and Developmental and Educational Psychology, having authored 18 papers that have together received 839 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (4 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Artificial Intelligence (704 citations), Information Systems (157 citations) and Communication (33 citations). Tony Mullen has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Nigel Collier, Robert Malouf, Yoko Mizuta, Christine Appel, Anna Korhonen, Miles Osborne, Koichi Takeuchi and Ai Kawazoe. Their work appears in journals such as Computers & Education, International Journal of Medical Informatics and Internet Research.
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.