Bracha Shapira
- Information Systems top 0.2%
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Sociology and Political Science top 2%
- Co-authors
- Lior RokachFrancesco Ricci⋆Bernard LererPeretz ShovalYuval EloviciUri HananiAriel BarOfer Arazy
- Topics
- Recommender Systems and Techniques (47 papers)Topic Modeling (21 papers)Network Security and Intrusion Detection (13 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Bracha Shapira
154 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Information Systems 2.1k
- Artificial Intelligence 1.8k
- Computer Networks and Communications 670
- Computer Vision and Pattern Recognition 667
- Sociology and Political Science 601
Countries citing papers authored by Bracha Shapira
This map shows the geographic impact of Bracha Shapira'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 Bracha Shapira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bracha Shapira more than expected).
Fields of papers citing papers by Bracha Shapira
This network shows the impact of papers produced by Bracha Shapira. 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 Bracha Shapira. The network helps show where Bracha Shapira may publish in the future.
Co-authorship network of co-authors of Bracha Shapira
This figure shows the co-authorship network connecting the top 25 collaborators of Bracha Shapira. A scholar is included among the top collaborators of Bracha Shapira 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 Bracha Shapira. Bracha Shapira 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 | 4 | |
| 4 | 12 | |
| 5 | 0 | |
| 6 | 31 | |
| 7 | 15 | |
| 8 | Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. | 1 |
| 9 | Language Models with GloVe Word Embeddings. | 1 |
| 10 | 22 | |
| 11 | Recommender Systems Handbookbreakdown → | 1042 |
| 12 | Recommender Systems for Product Bundling. | 1 |
| 13 | EduRank: A Collaborative Filtering Approach to Personalization in E-learning. | 31 |
| 14 | Introducing diversity among the models of multi-label classification ensemble. | 1 |
| 15 | A Theory-Driven Design Framework for Social Recommender Systems | 14 |
| 16 | Opinion Leadership: Non-Work-Related Advice in a Work Setting | 8 |
| 17 | Improving Social Recommender Systems | 0 |
| 18 | Information Filtering and Automatic Keyword Identification by Artificial Neural Networks | 1 |
| 19 | 99 | |
| 20 | 62 |
About Bracha Shapira
Bracha Shapira is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 163 papers that have together received 5.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (47 papers), Topic Modeling (21 papers) and Network Security and Intrusion Detection (13 papers). The work is most often cited by research in Information Systems (2.1k citations), Behavioral Neuroscience (211 citations) and Artificial Intelligence (1.8k citations). Bracha Shapira has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Lior Rokach, Francesco Ricci⋆, Bernard Lerer, Peretz Shoval, Yuval Elovici, Uri Hanani, Ariel Bar, Ofer Arazy, Nanda Kumar and Uriel Heresco‐Levy. Their work appears in journals such as Bioinformatics, PLoS ONE and American Journal of Psychiatry.
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.