Matthew Green

8.0k citations
111 papers · 4.4k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Matthew Green

107 papers receiving 4.3k citations

Hit Papers

Zerocash: Decentralized Anonymous Payments from Bitcoin 2014 · 974 citations
9742014202620182022250500750

Peers

Matthew Green
Comparison fields: 5 of 151
  • Catalysis 588
  • Information Systems 1.4k
  • Polymers and Plastics 593
  • Artificial Intelligence 1.2k
  • Process Chemistry and Technology 68
Replace Won Bae Kim with:
Won Bae Kim South Korea
Ziyang Liu China
Shichao Zhang China
Jinxiang Dong China
Shengyao Wang China
Fangming Liu China
Xuan Zhou China
Xinli Yang China
Chenxi Wang China
Yuhui Chen China
Matthew Green relative to Won Bae Kim South Korea Won Bae Kim's profile →
Citations per field
00.5×1.5×2.0×
Won Bae Kim · 1×
Citations per year

Countries citing papers authored by Matthew Green

Since Specialization
Citations

This map shows the geographic impact of Matthew Green'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 Matthew Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Green more than expected).

Fields of papers citing papers by Matthew Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Green. 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 Matthew Green. The network helps show where Matthew Green may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Matthew Green, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Green Line = papers co-authored together Matthew Green links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20241
4 20243
5 20232
6 202310
7 202314
8 20235
9 20233
10 20222
11 20225
12 20226
13 20206
14 202010
15 2019140
16 201810
17 201510
18
Vis-à-vis cryptography: private and trustworthy in-person certifications
20121
19 201165
20
Security analysis of a cryptographically-enabled RFID device
2005161

About Matthew Green

Matthew Green is a scholar working on Architecture, Polymers and Plastics, Catalysis, Artificial Intelligence and Water Science and Technology, having authored 111 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Advanced Battery Materials and Technologies (12 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Cryptographic Implementations and Security (10 papers), Fuel Cells and Related Materials (9 papers), Conducting polymers and applications (9 papers), Membrane Separation and Gas Transport (9 papers) and Ionic liquids properties and applications (8 papers). The work is most often cited by research in Catalysis (588 citations), Information Systems (1.4k citations), Polymers and Plastics (593 citations), Artificial Intelligence (1.2k citations) and Process Chemistry and Technology (68 citations). Matthew Green has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ian Miers, Timothy E. Long, Christina Garman, Eran Tromer, Alessandro Chiesa, Madars Virza, Karen I. Winey, John M. Layman, David Salas‐de la Cruz and Aviel D. Rubin. Their work appears in journals such as Polymer, Macromolecules, Industrial & Engineering Chemistry Research, Soft Matter and Biomacromolecules.

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.

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