Philip Dart
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Software top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Justin ZobelLee NaishLorraine JohnstonHarald SøndergaardMichael WinikoffLeon SterlingKim MarriottChristoph Schmidt
- Topics
- Software Engineering Research (6 papers)Semantic Web and Ontologies (4 papers)Logic, programming, and type systems (4 papers)
- Partner nations
- AustraliaItalyUnited States
In The Last Decade
Philip Dart
16 papers receiving 312 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 289
- Information Systems 118
- Computational Theory and Mathematics 88
- Software 49
- Management Science and Operations Research 46
Countries citing papers authored by Philip Dart
This map shows the geographic impact of Philip Dart'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 Philip Dart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Dart more than expected).
Fields of papers citing papers by Philip Dart
This network shows the impact of papers produced by Philip Dart. 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 Philip Dart. The network helps show where Philip Dart may publish in the future.
Co-authorship network of co-authors of Philip Dart
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Dart. A scholar is included among the top collaborators of Philip Dart 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 Philip Dart. Philip Dart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | A Hyperlinked Persistent Software Development Environment | 2 |
| 7 | 9 | |
| 8 | Outsourcing for software applications development: issues, implications and impact. | 2 |
| 9 | 8 | |
| 10 | 136 | |
| 11 | 91 | |
| 12 | 6 | |
| 13 | A Regular Type Language for Logic Programs. | 40 |
| 14 | 24 | |
| 15 | A characterization of non-floundering logic programs | 13 |
| 16 | The NU-Prolog Debugging Environment. | 17 |
| 17 | 3 | |
| 18 | The NU-Prolog Deductive Database System. | 8 |
About Philip Dart
Philip Dart is a scholar working on Software, Artificial Intelligence and Information Systems, having authored 18 papers that have together received 383 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Semantic Web and Ontologies (4 papers) and Logic, programming, and type systems (4 papers). The work is most often cited by research in Software (49 citations), Artificial Intelligence (289 citations) and Computational Theory and Mathematics (88 citations). Philip Dart has collaborated with scholars based in Australia, Italy and United States. Frequent co-authors include Justin Zobel, Lee Naish, Lorraine Johnston, Harald Søndergaard, Michael Winikoff, Leon Sterling, Kim Marriott, Christoph Schmidt, Liz Sonenberg and Peter Thorne. Their work appears in journals such as IEEE Software, Information and Software Technology and Software Practice and Experience.
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.