Dayane Reis

986 citations
38 papers · 723 · h-index 13

Impact in

Papers in

Dayane Reis

34 papers receiving 707 citations

Peers

Dayane Reis
Comparison fields: 5 of 30
  • Hardware and Architecture 87
  • Electrical and Electronic Engineering 617
  • Computational Theory and Mathematics 74
  • Artificial Intelligence 107
  • Materials Chemistry 155
Replace Harish M. Kittur with:
Harish M. Kittur India
Xiaoyong Xue China
Chrong-Jung Lin Taiwan
E. Camerlenghi Italy
Heiner Giefers Switzerland
Stefan Cosemans Belgium
Je-Min Hung Taiwan
Amogh Agrawal United States
Keh-Chung Wang Taiwan
Reza Faghih Mirzaee Iran
Dayane Reis relative to Harish M. Kittur India Harish M. Kittur's profile →
Citations per field
00.5×7.8×
Harish M. Kittur · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 2018106
3 201876
4 201961
5 201648
6 202036
7 202030
8 201929
9 201929
10 201918
11 201915
12 202212
13 202012
14 202211
15 202111
16 202211
17 202011
18 20229
19 20238
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 38 papers that have together received 723 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), Quantum-Dot Cellular Automata (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Hardware and Architecture (87 citations), Electrical and Electronic Engineering (617 citations), Computational Theory and Mathematics (74 citations), Artificial Intelligence (107 citations) and Materials Chemistry (155 citations). Dayane Reis has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Xiaobo Sharon Hu, Michael Niemier, Joerg Appenzeller, Peng Wu, Xunzhao Yin, Suman Datta, Kai Ni, Ann Franchesca Laguna, Frank Sill Torres and Di Gao. 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, Nature Electronics and IEEE Transactions on Computers.

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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