Tharam Dillon

677 citations
32 papers · 555 · h-index 10

Impact in

    • Service-Oriented Architecture and Web Services
    • Cloud Data Security Solutions
    • Data Mining Algorithms and Applications
    • Cloud Computing and Resource Management
    • Business Process Modeling and Analysis

Papers in

Tharam Dillon

32 papers receiving 535 citations

Peers

Tharam Dillon
Comparison fields: 5 of 75
  • Information Systems 367
  • Management Information Systems 117
  • Computer Networks and Communications 198
  • Artificial Intelligence 232
  • Management Science and Operations Research 56
Replace Chris Gane with:
Chris Gane
Stanislav Pokraev Netherlands
Shirin Sohrabi United States
Rachid Anane United Kingdom
Rose Dieng-Kuntz France
Fatma Mili United States
Márcio de Oliveira Barros Brazil
Jürgen Angele Germany
Peep Küngas Sweden
Elisabeth Kapsammer Austria
Tharam Dillon relative to Chris Gane Chris Gane's profile →
Citations per field
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Chris Gane · 1×
Citations per year

Countries citing papers authored by Tharam Dillon

Since Specialization
Citations

This map shows the geographic impact of Tharam Dillon'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 Tharam Dillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tharam Dillon more than expected).

Fields of papers citing papers by Tharam Dillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tharam Dillon. 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 Tharam Dillon. The network helps show where Tharam Dillon may publish in the future.

Co-authors

The 25 scholars most cited alongside Tharam Dillon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tharam Dillon Line = papers co-authored together Tharam Dillon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006121
2 201278
3 201173
4 201172
5 200149
6 201217
7 199117
8 200215
9 200512
10 201212
11 201210
12 201510
13 20049
14 20066
15 20086
16
Mining XML-Enabled Association Rules with Templates
20046
17 20036
18 20076
19 20085
20 20165

About Tharam Dillon

Tharam Dillon is a scholar working on Information Systems, Computer Networks and Communications, Management Information Systems, Signal Processing and Artificial Intelligence, having authored 32 papers that have together received 555 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (15 papers), Advanced Database Systems and Queries (6 papers), Business Process Modeling and Analysis (5 papers), Semantic Web and Ontologies (4 papers), Data Management and Algorithms (4 papers), Rough Sets and Fuzzy Logic (4 papers), Data Mining Algorithms and Applications (4 papers) and Mobile Agent-Based Network Management (3 papers). The work is most often cited by research in Information Systems (367 citations), Management Information Systems (117 citations), Computer Networks and Communications (198 citations), Artificial Intelligence (232 citations) and Management Science and Operations Research (56 citations). Tharam Dillon has collaborated with scholars based in Australia, Italy and France. Frequent co-authors include Elizabeth Chang, Farookh Hussain, Ling Feng, Mohammed Alhamad, Robert Meersman, Siani Pearson, Alois Ferscha, Peter Dadam, Xiaofang Zhou and Sonia Bergamaschi. Their work appears in journals such as Applied Intelligence, Data & Knowledge Engineering, Lecture notes in computer science, Journal of Systems and Software and Service Oriented Computing and Applications.

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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