Ziawasch Abedjan
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Felix NaumannMichael StonebrakerLukasz GolabMohammad MahdaviMourad OuzzaniRaul Castro FernandezSamuel MaddenIhab F. Ilyas
- Topics
- Data Quality and Management (33 papers)Data Mining Algorithms and Applications (26 papers)Advanced Database Systems and Queries (25 papers)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Ziawasch Abedjan
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Management Science and Operations Research 799
- Artificial Intelligence 698
- Information Systems 479
- Computer Networks and Communications 405
- Signal Processing 203
Countries citing papers authored by Ziawasch Abedjan
This map shows the geographic impact of Ziawasch Abedjan'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 Ziawasch Abedjan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziawasch Abedjan more than expected).
Fields of papers citing papers by Ziawasch Abedjan
This network shows the impact of papers produced by Ziawasch Abedjan. 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 Ziawasch Abedjan. The network helps show where Ziawasch Abedjan may publish in the future.
Co-authorship network of co-authors of Ziawasch Abedjan
This figure shows the co-authorship network connecting the top 25 collaborators of Ziawasch Abedjan. A scholar is included among the top collaborators of Ziawasch Abedjan 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 Ziawasch Abedjan. Ziawasch Abedjan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | COCOA: COrrelation COefficient-Aware Data Augmentation. | 12 |
| 6 | Semi-Supervised Data Cleaning with Raha and Baran. | 3 |
| 7 | 5 | |
| 8 | CAFE: Constraint-Aware Feature Extraction from Large Databases. | 3 |
| 9 | Towards Automated Data Cleaning Workflows. | 7 |
| 10 | 23 | |
| 11 | 2 | |
| 12 | 98 | |
| 13 | Data Profiling | 8 |
| 14 | 8 | |
| 15 | The data civilizer system | 63 |
| 16 | DataXFormer: Leveraging the Web for Semantic Transformations | 12 |
| 17 | 36 | |
| 18 | 12 | |
| 19 | Improving RDF data with data mining | 0 |
| 20 | 34 |
About Ziawasch Abedjan
Ziawasch Abedjan is a scholar working on Management Science and Operations Research, Information Systems and Computer Networks and Communications, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Quality and Management (33 papers), Data Mining Algorithms and Applications (26 papers) and Advanced Database Systems and Queries (25 papers). The work is most often cited by research in Management Science and Operations Research (799 citations), Artificial Intelligence (698 citations) and Information Systems (479 citations). Ziawasch Abedjan has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Felix Naumann, Michael Stonebraker, Lukasz Golab, Mohammad Mahdavi, Mourad Ouzzani, Raul Castro Fernandez, Samuel Madden, Ihab F. Ilyas, Nan Tang and Paolo Papotti. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal and Journal of Data and Information Quality.
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.