Dayane Reis

1.0k citations
39 papers · 751 · h-index 13

Impact in

Papers in

Dayane Reis

35 papers receiving 736 citations

Peers

Dayane Reis
Comparison fields: 5 of 33
  • Hardware and Architecture 94
  • Electrical and Electronic Engineering 632
  • Computational Theory and Mathematics 75
  • Artificial Intelligence 112
  • Materials Chemistry 159
Replace Xiaoyong Xue with:
Xiaoyong Xue China
Harish M. Kittur India
Chrong-Jung Lin Taiwan
E. Camerlenghi Italy
Je-Min Hung Taiwan
Mohd. Hasan India
Heiner Giefers Switzerland
Keh-Chung Wang Taiwan
Amogh Agrawal United States
Xi Jin China
Dayane Reis relative to Xiaoyong Xue China Xiaoyong Xue's profile →
Citations per field
00.5×3.3×
Xiaoyong Xue · 1×
Citations per year

Countries citing papers authored by Dayane Reis

Since Specialization
Citations

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

Fields of papers citing papers by Dayane Reis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dayane Reis, 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 Dayane Reis Line = papers co-authored together Dayane Reis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020155
2 2018110
3 201879
4 201961
5 201648
6 202037
7 202030
8 201929
9 201929
10 201918
11 201916
12 202214
13 202213
14 202012
15 202012
16 202112
17 202212
18 202211
19 20239
20 20217

About Dayane Reis

Dayane Reis is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry, Computer Networks and Communications and Computational Theory and Mathematics, having authored 39 papers that have together received 751 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (31 papers), Ferroelectric and Negative Capacitance Devices (29 papers), Semiconductor materials and devices (15 papers), MXene and MAX Phase Materials (5 papers), Advanced Data Storage Technologies (4 papers), Cryptography and Data Security (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Quantum-Dot Cellular Automata (3 papers). The work is most often cited by research in Hardware and Architecture (94 citations), Electrical and Electronic Engineering (632 citations), Computational Theory and Mathematics (75 citations), Artificial Intelligence (112 citations) and Materials Chemistry (159 citations). Dayane Reis has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Xiaobo Sharon Hu, Michael Niemier, Peng Wu, Joerg Appenzeller, Xunzhao Yin, Suman Datta, Kai Ni, Ann Franchesca Laguna, Cheng Zhuo and Frank Sill Torres. Their work appears in journals such as IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Design and Test and Nature Electronics.

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.

Explore authors with similar magnitude of impact