Tommaso Soru
- Artificial Intelligence top 10%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Ivano MalavoltaAxel-Cyrille Ngonga NgomoValerio TerragniJens LehmannMuhammad SaleemDiego MoussallemOlaf HartigSören Auer
- Topics
- Semantic Web and Ontologies (13 papers)Data Quality and Management (9 papers)Advanced Database Systems and Queries (5 papers)
- Journals
- KI - Künstliche IntelligenzInternational Journal of Semantic ComputingRare & Special e-Zone (The Hong Kong University of Science and Technology)
In The Last Decade
Tommaso Soru
17 papers receiving 155 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 102
- Information Systems 90
- Management Science and Operations Research 51
- Computer Networks and Communications 48
- Signal Processing 22
Countries citing papers authored by Tommaso Soru
This map shows the geographic impact of Tommaso Soru'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 Tommaso Soru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommaso Soru more than expected).
Fields of papers citing papers by Tommaso Soru
This network shows the impact of papers produced by Tommaso Soru. 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 Tommaso Soru. The network helps show where Tommaso Soru may publish in the future.
Co-authorship network of co-authors of Tommaso Soru
This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Soru. A scholar is included among the top collaborators of Tommaso Soru 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 Tommaso Soru. Tommaso Soru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | Federated SPARQL Query Processing Via CostFed. | 1 |
| 6 | A high-performance approach to string similarity using most frequent K characters. | 0 |
| 7 | 2 | |
| 8 | An algorithm, implementation and execution ontology design pattern | 0 |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 23 | |
| 14 | 1 | |
| 15 | 41 | |
| 16 | 29 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | Rapid execution of weighted edit distances | 3 |
| 20 | 1 |
About Tommaso Soru
Tommaso Soru is a scholar working on Management Science and Operations Research, Information Systems and Management and Artificial Intelligence, having authored 22 papers that have together received 177 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Data Quality and Management (9 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Management Science and Operations Research (51 citations), Information Systems (90 citations) and Artificial Intelligence (102 citations). Tommaso Soru has collaborated with scholars based in Germany, Italy and Brazil. Frequent co-authors include Ivano Malavolta, Axel-Cyrille Ngonga Ngomo, Valerio Terragni, Jens Lehmann, Muhammad Saleem, Diego Moussallem, Olaf Hartig, Sören Auer, Markus Ackermann and Ricardo Usbeck. Their work appears in journals such as KI - Künstliche Intelligenz, International Journal of Semantic Computing and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.