Yael Amsterdamer
- Information Systems and Management top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Tova MiloDaniel DeutchVal TannenSusan B. DavidsonPierre SenellartYael S. GrossmanJulia StoyanovichSlava Novgorodov
- Topics
- Mobile Crowdsensing and Crowdsourcing (9 papers)Scientific Computing and Data Management (9 papers)Topic Modeling (7 papers)
- Cited by
- Information Systems and ManagementComputer Science ApplicationsManagement Science and Operations Research
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Yael Amsterdamer
31 papers receiving 382 citations
Peers
Comparison fields: 5 of 27
- Information Systems and Management 204
- Artificial Intelligence 188
- Computer Networks and Communications 155
- Information Systems 149
- Management Science and Operations Research 106
Countries citing papers authored by Yael Amsterdamer
This map shows the geographic impact of Yael Amsterdamer'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 Yael Amsterdamer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael Amsterdamer more than expected).
Fields of papers citing papers by Yael Amsterdamer
This network shows the impact of papers produced by Yael Amsterdamer. 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 Yael Amsterdamer. The network helps show where Yael Amsterdamer may publish in the future.
Co-authorship network of co-authors of Yael Amsterdamer
This figure shows the co-authorship network connecting the top 25 collaborators of Yael Amsterdamer. A scholar is included among the top collaborators of Yael Amsterdamer 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 Yael Amsterdamer. Yael Amsterdamer 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 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. | 1 |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | Managing General and Individual Knowledge in Crowd Mining Applications | 8 |
| 14 | 17 | |
| 15 | 21 | |
| 16 | 14 | |
| 17 | 10 | |
| 18 | 94 | |
| 19 | 12 | |
| 20 | 80 |
About Yael Amsterdamer
Yael Amsterdamer is a scholar working on Computer Science Applications, Information Systems and Management and Artificial Intelligence, having authored 31 papers that have together received 402 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (9 papers), Scientific Computing and Data Management (9 papers) and Topic Modeling (7 papers). The work is most often cited by research in Information Systems and Management (204 citations), Computer Science Applications (100 citations) and Management Science and Operations Research (106 citations). Yael Amsterdamer has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Tova Milo, Daniel Deutch, Val Tannen, Susan B. Davidson, Pierre Senellart, Yael S. Grossman, Julia Stoyanovich, Slava Novgorodov, Ido Dagan and Judit Bar‐Ilan. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and ACM Transactions on Database Systems.
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.