Abdullah Uz Tansel
- Computer Networks and Communications top 1%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computational Theory and Mathematics top 5%
- Co-authors
- James CliffordArie SegevRichard T. SnodgrassSushil JajodiaShashi K. GadiaNecip Fazıl AyanLucy GarnettGio Wiederhold
- Topics
- Advanced Database Systems and Queries (27 papers)Data Management and Algorithms (23 papers)Semantic Web and Ontologies (21 papers)
- Partner nations
- United StatesTürkiyeDenmark
In The Last Decade
Abdullah Uz Tansel
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 964
- Signal Processing 829
- Artificial Intelligence 621
- Information Systems 318
- Computational Theory and Mathematics 85
Countries citing papers authored by Abdullah Uz Tansel
This map shows the geographic impact of Abdullah Uz Tansel'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 Abdullah Uz Tansel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Uz Tansel more than expected).
Fields of papers citing papers by Abdullah Uz Tansel
This network shows the impact of papers produced by Abdullah Uz Tansel. 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 Abdullah Uz Tansel. The network helps show where Abdullah Uz Tansel may publish in the future.
Co-authorship network of co-authors of Abdullah Uz Tansel
This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Uz Tansel. A scholar is included among the top collaborators of Abdullah Uz Tansel 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 Abdullah Uz Tansel. Abdullah Uz Tansel 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 | 6 | |
| 3 | 46 | |
| 4 | 14 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | Bitemporal Databases: Modeling and Implementation | 6 |
| 8 | Nested bitemporal relational data model | 2 |
| 9 | 3 | |
| 10 | 28 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 41 | |
| 16 | Non First Normal Form Temporal Relational Model. | 2 |
| 17 | Aggregation operations in historical relational databases (extended abstract) | 3 |
| 18 | HQUEL, a query language for historical relational databases | 16 |
| 19 | 81 | |
| 20 | 3 |
About Abdullah Uz Tansel
Abdullah Uz Tansel is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (27 papers), Data Management and Algorithms (23 papers) and Semantic Web and Ontologies (21 papers). The work is most often cited by research in Signal Processing (829 citations), Computer Networks and Communications (964 citations) and Artificial Intelligence (621 citations). Abdullah Uz Tansel has collaborated with scholars based in United States, Türkiye and Denmark. Frequent co-authors include James Clifford, Arie Segev, Richard T. Snodgrass, Sushil Jajodia, Shashi K. Gadia, Necip Fazıl Ayan, Lucy Garnett, Gio Wiederhold, Fábio Grandi and Gültekin Özsoyoğlu. Their work appears in journals such as Cancer, Information Sciences and IEEE Transactions on Software Engineering.
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.