Daniel Shapira
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Marketing top 10%
Papers in
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- Quantum Computing Algorithms and Architecture 8
- Quantum Information and Cryptography 8
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- Digital Marketing and Social Media 7
- Co-authors
- Ofer Biham (8 shared papers)Jacob Goldenberg (12 shared papers)Yishai Shimoni (5 shared papers)Andreas Lanz (8 shared papers)Florian Stahl (6 shared papers)Yaniv Dover (4 shared papers)A. J. Bracken (1 shared paper)Michelle Hackett (1 shared paper)
- Journals
- Physical Review A (8 papers)Journal of Marketing Research (2 papers)Marketing Science (2 papers)PLoS ONE (1 paper)Journal of Marketing (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Daniel Shapira
25 papers receiving 419 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 237
- Marketing 48
- Atomic and Molecular Physics, and Optics 152
- Statistical and Nonlinear Physics 57
- Management Science and Operations Research 52
Countries citing papers authored by Daniel Shapira
This map shows the geographic impact of Daniel 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 Daniel Shapira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Shapira more than expected).
Fields of papers citing papers by Daniel Shapira
This network shows the impact of papers produced by Daniel 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 Daniel Shapira. The network helps show where Daniel Shapira may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Shapira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 56 | |
| 2 | 2003 | 51 | |
| 3 | 2019 | 50 | |
| 4 | 2012 | 40 | |
| 5 | 2003 | 33 | |
| 6 | 2004 | 33 | |
| 7 | 2008 | 28 | |
| 8 | 2006 | 23 | |
| 9 | 2005 | 21 | |
| 10 | 2016 | 15 | |
| 11 | 2015 | 12 | |
| 12 | 2003 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2005 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2025 | 5 | |
| 17 | 2009 | 5 | |
| 18 | 2009 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2009 | 3 |
About Daniel Shapira
Daniel Shapira is a scholar working on Artificial Intelligence, Sociology and Political Science, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 29 papers that have together received 429 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (8 papers), Quantum Mechanics and Applications (7 papers), Digital Marketing and Social Media (7 papers), Innovation Diffusion and Forecasting (5 papers), Complex Network Analysis Techniques (4 papers), Digital Platforms and Economics (3 papers) and FinTech, Crowdfunding, Digital Finance (2 papers). The work is most often cited by research in Artificial Intelligence (237 citations), Marketing (48 citations), Atomic and Molecular Physics, and Optics (152 citations), Statistical and Nonlinear Physics (57 citations) and Management Science and Operations Research (52 citations). Daniel Shapira has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ofer Biham, Jacob Goldenberg, Yishai Shimoni, Andreas Lanz, Florian Stahl, Yaniv Dover, A. J. Bracken, Michelle Hackett, Shay Mozes and Oded Lowengart. Their work appears in journals such as Physical Review A, Journal of Marketing Research, Marketing Science, PLoS ONE and Journal of Marketing.
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.