Philip Daian
Impact in
- Information Systems top 1%
- Blockchain Technology Applications and Security
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- FinTech, Crowdfunding, Digital Finance
Papers in
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- Blockchain Technology Applications and Security 7
- User Authentication and Security Systems 1
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- FinTech, Crowdfunding, Digital Finance 2
- Co-authors
- Lorenz BreidenbachAri JuelsIddo BentovManasvi SaxenaGrigore RoşuYi ZhangDaejun ParkYunqi Li
- Journals
- IEEE Security & Privacy (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)IDEALS (University of Illinois Urbana-Champaign) (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Philip Daian
11 papers receiving 634 citations
Peers
Comparison fields: 5 of 48
- Information Systems 561
- Management Information Systems 100
- Signal Processing 113
- Artificial Intelligence 247
- Computer Networks and Communications 149
Countries citing papers authored by Philip Daian
This map shows the geographic impact of Philip Daian'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 Philip Daian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Daian more than expected).
Fields of papers citing papers by Philip Daian
This network shows the impact of papers produced by Philip Daian. 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 Philip Daian. The network helps show where Philip Daian may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Philip Daian, 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 | 2024 | 2 | |
| 2 | 2023 | 17 | |
| 3 | 2020 | 191 | |
| 4 | 2019 | 97 | |
| 5 | 2019 | 5 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 197 | |
| 8 | 2018 | 62 | |
| 9 | Enter the Hydra: Towards Principled Bug Bounties and Exploit-Resistant Smart Contracts. | 2017 | 34 |
| 10 | KEVM: A Complete Semantics of the Ethereum Virtual Machine | 2017 | 40 |
| 11 | 2016 | 2 |
About Philip Daian
Philip Daian is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Management Science and Operations Research and Hardware and Architecture, having authored 11 papers that have together received 650 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), Security and Verification in Computing (4 papers), Cryptography and Data Security (3 papers), Auction Theory and Applications (2 papers), Distributed systems and fault tolerance (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Information Systems (561 citations), Management Information Systems (100 citations), Signal Processing (113 citations), Artificial Intelligence (247 citations) and Computer Networks and Communications (149 citations). Philip Daian has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Lorenz Breidenbach, Ari Juels, Iddo Bentov, Manasvi Saxena, Grigore Roşu, Yi Zhang, Daejun Park, Yunqi Li, Steven Goldfeder and Xiaoran Zhu. Their work appears in journals such as IEEE Security & Privacy, SAE technical papers on CD-ROM/SAE technical paper series and IDEALS (University of Illinois Urbana-Champaign).
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.