James A. Thom

2.0k total citations
84 papers, 1.0k citations indexed

About

James A. Thom is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, James A. Thom has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 35 papers in Information Systems and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in James A. Thom's work include Semantic Web and Ontologies (21 papers), Advanced Database Systems and Queries (17 papers) and Web Data Mining and Analysis (16 papers). James A. Thom is often cited by papers focused on Semantic Web and Ontologies (21 papers), Advanced Database Systems and Queries (17 papers) and Web Data Mining and Analysis (16 papers). James A. Thom collaborates with scholars based in Australia, France and Malaysia. James A. Thom's 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 and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Journal of the Association for Information Systems.

In The Last Decade

James A. Thom

78 papers receiving 895 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
James A. Thom Australia	16	503	444	252	176	170	84	1.0k
Fabien Gandon France	15	642 1.3×	426 1.0×	204 0.8×	138 0.8×	85 0.5×	79	1.1k
Athanasios Tsakalidis Greece	17	446 0.9×	478 1.1×	252 1.0×	94 0.5×	99 0.6×	111	1.2k
Nicholas Gibbins United Kingdom	18	664 1.3×	543 1.2×	324 1.3×	154 0.9×	75 0.4×	73	1.1k
Ansgar Scherp Germany	17	549 1.1×	366 0.8×	211 0.8×	358 2.0×	123 0.7×	128	1.1k
Marco Cristo Brazil	18	517 1.0×	588 1.3×	80 0.3×	173 1.0×	92 0.5×	57	1.1k
Omar Alonso United States	18	594 1.2×	503 1.1×	113 0.4×	110 0.6×	159 0.9×	81	1.2k
Bernhard Haslhofer Austria	18	465 0.9×	466 1.0×	183 0.7×	107 0.6×	106 0.6×	63	947
Ted E. Senator United States	12	868 1.7×	528 1.2×	343 1.4×	69 0.4×	152 0.9×	23	1.5k
Alexandre Passant Ireland	21	851 1.7×	669 1.5×	346 1.4×	144 0.8×	100 0.6×	73	1.5k
Sarabjot Singh Anand United Kingdom	15	353 0.7×	550 1.2×	153 0.6×	129 0.7×	152 0.9×	54	1.0k

Countries citing papers authored by James A. Thom

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Wu, Hong Ren, et al.. (2020). Recognizing Induced Emotions With Only One Feature: A Novel Color Histogram-Based System. IEEE Access. 8. 37173–37190. 11 indexed citations

Thom, James A., et al.. (2016). Mining and Classifying Image Posts on Social Media to Analyse Fires. RMIT Research Repository (RMIT University Library). 1–14. 29 indexed citations

Thom, James A., et al.. (2012). Evaluating semantic browsers for consuming linked data. RMIT Research Repository (RMIT University Library). 89–98. 13 indexed citations

Magee, Liam, et al.. (2012). An adaptive system for proactively supporting sustainability goals. Adaptive Agents and Multi-Agents Systems. 1163–1164. 1 indexed citations

Scholer, Falk, et al.. (2010). Evaluating the effectiveness of visual summaries for web search. RMIT Research Repository (RMIT University Library). 3 indexed citations

Wu, Mingfang, Andrew Turpin, Simon J. Puglisi, Falk Scholer, & James A. Thom. (2010). Presenting query aspects to support exploratory search. RMIT Research Repository (RMIT University Library). 23–32. 1 indexed citations

Iskandar, D. N. F. Awang, James A. Thom, & S. M. M. Tahaghoghi. (2008). Content-based image retrieval using image regions as query examples. Figshare. 38–46. 17 indexed citations

Thom, James A., et al.. (2008). Drill across & visualization of cubes with non-conformed dimensions. Australasian Database Conference. 97–105. 6 indexed citations

Pehcevski, Jovan, Anne-Marie Vercoustre, & James A. Thom. (2008). Exploiting locality of Wikipedia links in entity ranking. 258–269. 12 indexed citations

10.

Thom, James A. & Falk Scholer. (2007). A comparison of evaluation measures given how users perform on search tasks. RMIT Research Repository (RMIT University Library). 8 indexed citations

11.

Tahaghoghi, S. M. M., et al.. (2006). RMIT University Video Retrieval Experiments at TRECVID 2006. TRECVID. 1 indexed citations

12.

D’Souza, Daryl, Justin Zobel, & James A. Thom. (2004). Is CORI Effective for Collection Selection? An Exploration of Parameters, Queries, and Data.. 41–46. 13 indexed citations

13.

Tahaghoghi, S. M. M., James A. Thom, & Hugh Williams. (2002). Shot Boundary Detection Using the Moving Query Window.. Text REtrieval Conference. 7 indexed citations

14.

Tahaghoghi, S. M. M., James A. Thom, & Hugh Williams. (2001). Are two pictures better than one. Australasian Database Conference. 138–144. 13 indexed citations

15.

D’Souza, Daryl & James A. Thom. (1999). Collection Selection Using n-Term Indexing.. 52–63. 4 indexed citations

16.

Sacks‐Davis, Ron, et al.. (1996). Indexing Structured Text for Queries on Containment Relationships.. Australasian Database Conference. 82–91. 10 indexed citations

17.

Fuller, Michael, et al.. (1995). The ELF Data Model and SCGL Query Language for Structured Document Databases.. Australasian Database Conference. 17–26. 7 indexed citations

18.

Zobel, Justin, James A. Thom, & Ron Sacks‐Davis. (1991). Efficiency of Nested Relational Document Database Systems. Very Large Data Bases. 91–102. 14 indexed citations

19.

Ramamohanarao, Kotagiri, John Shepherd, Lee Naish, et al.. (1987). The NU-Prolog Deductive Database System.. IEEE Data(base) Engineering Bulletin. 10. 10–15. 8 indexed citations

20.

Thom, James A., Kotagiri Ramamohanarao, & Lee Naish. (1986). A Superjoin Algorithm for Deductive Databases. Very Large Data Bases. 189–196. 16 indexed citations

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.

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