Daryus Chandra

885 citations
35 papers · 609 · h-index 15

Impact in

Papers in

Daryus Chandra

35 papers receiving 593 citations

Peers

Daryus Chandra
Comparison fields: 5 of 41
  • Artificial Intelligence 402
  • Computational Theory and Mathematics 136
  • Computer Networks and Communications 88
  • Atomic and Molecular Physics, and Optics 118
  • Electrical and Electronic Engineering 204
Replace Zunaira Babar with:
Zunaira Babar United Kingdom
Christoph Hellings Germany
Duc Manh Nguyen South Korea
Ofer Amrani Israel
Adnan A. E. Hajomer China
E. Hugues-Salas United Kingdom
Dmytro Bondarenko Ukraine
Zhangchao Ma China
Daryus Chandra relative to Zunaira Babar United Kingdom Zunaira Babar's profile →
Citations per field
00.5×1.5×
Zunaira Babar · 1×
Citations per year

Countries citing papers authored by Daryus Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Daryus Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018107
2 202255
3 201942
4 202032
5 201728
6 201728
7 201625
8 202324
9 201624
10 201724
11 201624
12 201717
13 201716
14 201815
15 201815
16 201914
17 201614
18 201713
19 201911
20 202010

About Daryus Chandra

Daryus Chandra is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 609 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (24 papers), Quantum Information and Cryptography (22 papers), Quantum-Dot Cellular Automata (15 papers), Optical Wireless Communication Technologies (6 papers), Advanced Wireless Communication Technologies (4 papers), Error Correcting Code Techniques (3 papers), Optical Network Technologies (3 papers) and Energy Harvesting in Wireless Networks (2 papers). The work is most often cited by research in Artificial Intelligence (402 citations), Computational Theory and Mathematics (136 citations), Computer Networks and Communications (88 citations), Atomic and Molecular Physics, and Optics (118 citations) and Electrical and Electronic Engineering (204 citations). Daryus Chandra has collaborated with scholars based in United Kingdom, Malaysia and Italy. Frequent co-authors include Soon Xin Ng, Lajos Hanzo, Zunaira Babar, Panagiotis Botsinis, Dimitrios Alanis, Hung Viet Nguyen, Ruiqi Liu, Debashis De, Georgi Gary Rozenman and Neel Kanth Kundu. Their work appears in journals such as IEEE Access, IEEE Communications Surveys & Tutorials, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology and IEEE Communications Letters.

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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