Amihai Motro
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Peter BunemanPhilippe SmetsKathleen L. HenebryAlessandro D’AtriAybar C. AcarLaura TarantinoNan LiTsvi Kuflik
- Topics
- Advanced Database Systems and Queries (37 papers)Semantic Web and Ontologies (28 papers)Data Management and Algorithms (28 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Amihai Motro
49 papers receiving 787 citations
Peers
Comparison fields: 5 of 64
- Computer Networks and Communications 597
- Artificial Intelligence 534
- Signal Processing 466
- Information Systems 254
- Management Science and Operations Research 191
Countries citing papers authored by Amihai Motro
This map shows the geographic impact of Amihai Motro'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 Amihai Motro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amihai Motro more than expected).
Fields of papers citing papers by Amihai Motro
This network shows the impact of papers produced by Amihai Motro. 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 Amihai Motro. The network helps show where Amihai Motro may publish in the future.
Co-authorship network of co-authors of Amihai Motro
This figure shows the co-authorship network connecting the top 25 collaborators of Amihai Motro. A scholar is included among the top collaborators of Amihai Motro 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 Amihai Motro. Amihai Motro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | VirtuE: Virtual Enterprises for Information Markets' | 2 |
| 6 | Data Integration: Inconsistency Detection and Resolution Based on Source Properties | 11 |
| 7 | 2 | |
| 8 | 95 | |
| 9 | Estimating the Quality of Data in Relational Databases. | 17 |
| 10 | Management of uncertainty in database systems | 20 |
| 11 | 26 | |
| 12 | A Trio of Database User Interfaces for Handling Vague Retrieval Requests. | 10 |
| 13 | 94 | |
| 14 | The Design of KIVIEW: An Object-Oriented Browser. | 29 |
| 15 | 3 | |
| 16 | Completeness Information and Its Application to Query Processing | 7 |
| 17 | 37 | |
| 18 | 26 | |
| 19 | 5 | |
| 20 | 6 |
About Amihai Motro
Amihai Motro is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 52 papers that have together received 905 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (37 papers), Semantic Web and Ontologies (28 papers) and Data Management and Algorithms (28 papers). The work is most often cited by research in Signal Processing (466 citations), Computer Networks and Communications (597 citations) and Artificial Intelligence (534 citations). Amihai Motro has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Peter Buneman, Philippe Smets, Kathleen L. Henebry, Alessandro D’Atri, Aybar C. Acar, Laura Tarantino, Nan Li, Tsvi Kuflik, Jeff Offutt and Opher Etzion. Their work appears in journals such as Journal of the Association for Information Systems, Information Fusion and ACM SIGMOD Record.
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.