David Boaz
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Yuval ShaḥarDina Goren‐BarR. W. GotlinJ. MaceMira BalabanOfer M. ShirAteret Anaby-TavorMaya Galperin-Aizenberg
- Topics
- Semantic Web and Ontologies (7 papers)Advanced Database Systems and Queries (4 papers)Business Process Modeling and Analysis (3 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
David Boaz
17 papers receiving 238 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 119
- Signal Processing 59
- Molecular Biology 58
- Computer Vision and Pattern Recognition 53
- Computer Networks and Communications 42
Countries citing papers authored by David Boaz
This map shows the geographic impact of David Boaz'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 David Boaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Boaz more than expected).
Fields of papers citing papers by David Boaz
This network shows the impact of papers produced by David Boaz. 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 David Boaz. The network helps show where David Boaz may publish in the future.
Co-authorship network of co-authors of David Boaz
This figure shows the co-authorship network connecting the top 25 collaborators of David Boaz. A scholar is included among the top collaborators of David Boaz 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 David Boaz. David Boaz 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | The ACSI Hub: A Data-centric Environment for Service Interoperation. | 4 |
| 6 | 3 | |
| 7 | 28 | |
| 8 | 7 | |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 37 | |
| 12 | 85 | |
| 13 | 18 | |
| 14 | Analysis of Temporal Abstraction in Medical Databases. | 2 |
| 15 | Interactive visualization and exploration of time-oriented clinical data using a distributed temporal-abstraction architecture. | 4 |
| 16 | Applying Temporal Abstraction in Medical Information Systems | 12 |
| 17 | A Web-Based system for interactive visualization and exploration of time-oriented clinical data and their abstractions. | 1 |
| 18 | 11 | |
| 19 | 18 |
About David Boaz
David Boaz is a scholar working on Management Information Systems, Artificial Intelligence and Signal Processing, having authored 19 papers that have together received 258 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (4 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Health Information Management (32 citations), Developmental Biology (12 citations) and Signal Processing (59 citations). David Boaz has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yuval Shaḥar, Dina Goren‐Bar, R. W. Gotlin, J. Mace, Mira Balaban, Ofer M. Shir, Ateret Anaby-Tavor, Maya Galperin-Aizenberg, Nikolay Gerasimchuk and Charles L. Barnes. Their work appears in journals such as The Lancet, Energies and Artificial Intelligence in Medicine.
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.