Daniel Shapira
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
-
- Quantum Mechanics and Applications
Papers in
-
- Complex Network Analysis Techniques 4
- Co-authors
- Ofer BihamJacob GoldenbergYishai ShimoniYaniv DoverAndreas LanzFlorian StahlA. J. BrackenMichelle Hackett
- Journals
- Physical Review A (8 papers)Marketing Science (2 papers)Journal of Marketing Research (2 papers)Journal of the Academy of Marketing Science (1 paper)Journal of Behavioral and Experimental Economics (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Daniel Shapira
24 papers receiving 380 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 231
- Atomic and Molecular Physics, and Optics 150
- Marketing 42
- Statistical and Nonlinear Physics 51
- Computational Theory and Mathematics 60
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 3 | |
| 9 | 2019 | 41 | |
| 10 | 2016 | 15 | |
| 11 | 2015 | 12 | |
| 12 | Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data | 2012 | 1 |
| 13 | 2012 | 37 | |
| 14 | 2008 | 28 | |
| 15 | 2006 | 22 | |
| 16 | 2005 | 9 | |
| 17 | 2005 | 21 | |
| 18 | 2003 | 12 | |
| 19 | 2003 | 30 | |
| 20 | Biochemical characterization of the pollen (pellets) of honey plants. | 1980 | 1 |
About Daniel Shapira
Daniel Shapira is a scholar working on Statistical and Nonlinear Physics, Marketing, Management Science and Operations Research, Communication and Artificial Intelligence, having authored 28 papers that have together received 401 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 (4 papers), Complex Network Analysis Techniques (4 papers), Digital Platforms and Economics (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Artificial Intelligence (231 citations), Atomic and Molecular Physics, and Optics (150 citations), Marketing (42 citations), Statistical and Nonlinear Physics (51 citations) and Computational Theory and Mathematics (60 citations). Daniel Shapira has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ofer Biham, Jacob Goldenberg, Yishai Shimoni, Yaniv Dover, Andreas Lanz, Florian Stahl, A. J. Bracken, Michelle Hackett, Shay Mozes and Oded Lowengart. Their work appears in journals such as Physical Review A, Marketing Science, Journal of Marketing Research, Journal of the Academy of Marketing Science and Journal of Behavioral and Experimental Economics.
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.