Tharam S. Dillon

81 total papers · 706 total citations
38 papers, 308 citations indexed

About

Tharam S. Dillon is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tharam S. Dillon has authored 38 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 22 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Tharam S. Dillon's work include Data Mining Algorithms and Applications (15 papers), Semantic Web and Ontologies (11 papers) and Service-Oriented Architecture and Web Services (11 papers). Tharam S. Dillon is often cited by papers focused on Data Mining Algorithms and Applications (15 papers), Semantic Web and Ontologies (11 papers) and Service-Oriented Architecture and Web Services (11 papers). Tharam S. Dillon collaborates with scholars based in Australia, Hong Kong and United States. Tharam S. Dillon's co-authors include Elizabeth Chang, Fedja Hadzic, Pornpit Wongthongtham, Izwan Nizal Mohd Shaharanee, Henry Tan, Ian Sommerville, W. Bruce Croft, James Allan, Robert W. P. Luk and Hong Va Leong and has published in prestigious journals such as IEEE Transactions on Software Engineering, Knowledge-Based Systems and International Journal of Intelligent Systems.

In The Last Decade

Tharam S. Dillon

32 papers receiving 289 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tharam S. Dillon 205 159 75 52 43 38 308
Mohammad Abdallah 213 1.0× 152 1.0× 56 0.7× 32 0.6× 39 0.9× 50 348
K. Vivekanandan 164 0.8× 139 0.9× 63 0.8× 32 0.6× 14 0.3× 55 326
Carlo Bellettini 135 0.7× 102 0.6× 62 0.8× 38 0.7× 41 1.0× 39 306
Enn Tyugu 114 0.6× 147 0.9× 66 0.9× 24 0.5× 44 1.0× 54 273
Don Libes 87 0.4× 89 0.6× 100 1.3× 25 0.5× 16 0.4× 36 346
Hoang Thanh Lam 163 0.8× 164 1.0× 86 1.1× 86 1.7× 41 1.0× 27 323
William C. Chu 147 0.7× 106 0.7× 98 1.3× 14 0.3× 26 0.6× 36 252
Harry S. Delugach 161 0.8× 191 1.2× 66 0.9× 27 0.5× 29 0.7× 40 337
Abbas K. Zaidi 123 0.6× 87 0.5× 60 0.8× 84 1.6× 26 0.6× 38 280
Esko Nuutila 73 0.4× 132 0.8× 116 1.5× 59 1.1× 39 0.9× 20 331

Countries citing papers authored by Tharam S. Dillon

Since Specialization
Citations

This map shows the geographic impact of Tharam S. 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 S. 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 S. Dillon more than expected).

Fields of papers citing papers by Tharam S. Dillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tharam S. Dillon

This figure shows the co-authorship network connecting the top 25 collaborators of Tharam S. Dillon. A scholar is included among the top collaborators of Tharam S. Dillon 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 Tharam S. Dillon. Tharam S. Dillon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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