Stephen Garner
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Plant Science
- Signal Processing top 10%
- Co-authors
- Ian H. WittenCraig G. Nevill-ManningRobert J. McQueenGeoffrey HolmesSally Jo CunninghamWilliam A. DyrnessTed PetersKaren Lebacqz
- Topics
- Data Mining Algorithms and Applications (4 papers)Media, Religion, Digital Communication (4 papers)Machine Learning and Data Classification (3 papers)
- Journals
- Computers and Electronics in AgricultureResearch Commons (The University of Waikato)Georgetown University Press eBooks
- Partner nations
- New Zealand
In The Last Decade
Stephen Garner
11 papers receiving 430 citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 161
- Information Systems 113
- Computer Networks and Communications 86
- Plant Science 59
- Signal Processing 50
Countries citing papers authored by Stephen Garner
This map shows the geographic impact of Stephen Garner'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 Stephen Garner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Garner more than expected).
Fields of papers citing papers by Stephen Garner
This network shows the impact of papers produced by Stephen Garner. 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 Stephen Garner. The network helps show where Stephen Garner may publish in the future.
Co-authorship network of co-authors of Stephen Garner
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Garner. A scholar is included among the top collaborators of Stephen Garner 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 Stephen Garner. Stephen Garner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Networked Theology: Negotiating Faith in Digital Culture | 27 |
| 3 | Networked Theology (Engaging Culture): Negotiating Faith in Digital Culture | 5 |
| 4 | Contextual and Public Theology: Passing Fads or Theological Imperatives? | 1 |
| 5 | 15 | |
| 6 | Transhumanism and Christian Social Concern | 3 |
| 7 | Hacking the Divine : A possible metaphor for theology- technology engagement | 2 |
| 8 | Applying a Machine Learning Workbench: Experience with Agricultural Databases | 16 |
| 9 | Machine learning from agricultural databases: practice and experience | 5 |
| 10 | WEKA: The Waikato Environment for Knowledge Analysis | 303 |
| 11 | Machine learning in practice: experience with agricultural databases | 1 |
| 12 | 106 |
About Stephen Garner
Stephen Garner is a scholar working on Philosophy, Religious studies and Human-Computer Interaction, having authored 12 papers that have together received 486 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Media, Religion, Digital Communication (4 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Information Systems (113 citations), Artificial Intelligence (161 citations) and Software (18 citations). Stephen Garner has collaborated with scholars based in New Zealand. Frequent co-authors include Ian H. Witten, Craig G. Nevill-Manning, Robert J. McQueen, Geoffrey Holmes, Sally Jo Cunningham, William A. Dyrness, Ted Peters, Karen Lebacqz, Celia Deane‐Drummond and Michael Spezio. Their work appears in journals such as Computers and Electronics in Agriculture, Research Commons (The University of Waikato) and Georgetown University Press eBooks.
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.