James A. Thom
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Co-authors
- Mohammed A. AlZainEric PardedeBen SohJustin ZobelS. M. M. TahaghoghiJovan PehcevskiAnne-Marie VercoustreLiam Magee
- Topics
- Semantic Web and Ontologies (21 papers)Advanced Database Systems and Queries (17 papers)Web Data Mining and Analysis (16 papers)
In The Last Decade
James A. Thom
78 papers receiving 895 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 503
- Information Systems 444
- Computer Networks and Communications 252
- Computer Vision and Pattern Recognition 176
- Signal Processing 170
Countries citing papers authored by James A. Thom
This map shows the geographic impact of James A. Thom'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 James A. Thom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Thom more than expected).
Fields of papers citing papers by James A. Thom
This network shows the impact of papers produced by James A. Thom. 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 James A. Thom. The network helps show where James A. Thom may publish in the future.
Co-authorship network of co-authors of James A. Thom
This figure shows the co-authorship network connecting the top 25 collaborators of James A. Thom. A scholar is included among the top collaborators of James A. Thom 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 James A. Thom. James A. Thom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Mining and Classifying Image Posts on Social Media to Analyse Fires | 29 |
| 3 | Evaluating semantic browsers for consuming linked data | 13 |
| 4 | 1 | |
| 5 | Evaluating the effectiveness of visual summaries for web search | 3 |
| 6 | Presenting query aspects to support exploratory search | 1 |
| 7 | Content-based image retrieval using image regions as query examples | 17 |
| 8 | Drill across & visualization of cubes with non-conformed dimensions | 6 |
| 9 | 12 | |
| 10 | A comparison of evaluation measures given how users perform on search tasks | 8 |
| 11 | RMIT University Video Retrieval Experiments at TRECVID 2006 | 1 |
| 12 | Is CORI Effective for Collection Selection? An Exploration of Parameters, Queries, and Data. | 13 |
| 13 | Shot Boundary Detection Using the Moving Query Window. | 7 |
| 14 | 13 | |
| 15 | Collection Selection Using n-Term Indexing. | 4 |
| 16 | Indexing Structured Text for Queries on Containment Relationships. | 10 |
| 17 | The ELF Data Model and SCGL Query Language for Structured Document Databases. | 7 |
| 18 | Efficiency of Nested Relational Document Database Systems | 14 |
| 19 | The NU-Prolog Deductive Database System. | 8 |
| 20 | A Superjoin Algorithm for Deductive Databases | 16 |
About James A. Thom
James A. Thom is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (21 papers), Advanced Database Systems and Queries (17 papers) and Web Data Mining and Analysis (16 papers). The work is most often cited by research in Information Systems (444 citations), Signal Processing (170 citations) and Artificial Intelligence (503 citations). James A. Thom has collaborated with scholars based in Australia, France and Malaysia. Frequent co-authors include Mohammed A. AlZain, Eric Pardede, Ben Soh, Justin Zobel, S. M. M. Tahaghoghi, Jovan Pehcevski, Anne-Marie Vercoustre, Liam Magee, Ron Sacks‐Davis and Kotagiri Ramamohanarao. Their work appears in journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Journal of the Association for Information Systems.
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.