Ryan Rakvic

733 citations
50 papers · 467 indexed · h-index 12

Ryan Rakvic

47 papers receiving 441 citations

Peers

Ryan Rakvic
Comparison fields: 5 of 53
  • Hardware and Architecture 226
  • Signal Processing 152
  • Computer Networks and Communications 247
  • Information Systems 129
  • Computer Vision and Pattern Recognition 85
Replace Enrique Cantó with:
Enrique Cantó Spain
Orr Dunkelman Israel
Raphael Spreitzer Austria
Manaar Alam India
Shaoxuan Wang United States
Dayeol Lee United States
Wenhao Wang China
José Ignacio Gómez Spain
Adrian Dabrowski Austria
Ryan Rakvic relative to Enrique Cantó Spain Enrique Cantó's profile →
Citations per field
00.5×6.3×
Enrique Cantó · 1×
Citations per year

Countries citing papers authored by Ryan Rakvic

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Rakvic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20247
3 20217
4 20207
5 20201
6 20193
7 20186
8 20185
9 20168
10 20152
11 20144
12 20138
13 20090
14 200936
15 200813
16 20086
17 200619
18 200620
19 20002
20 199821

About Ryan Rakvic

Ryan Rakvic is a scholar working on Hardware and Architecture, Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition and Architecture, having authored 50 papers that have together received 467 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Biometric Identification and Security (16 papers), Parallel Computing and Optimization Techniques (15 papers), Face and Expression Recognition (8 papers), Interconnection Networks and Systems (7 papers), Semiconductor materials and devices (7 papers), Advanced Memory and Neural Computing (5 papers) and DNA and Biological Computing (4 papers). The work is most often cited by research in Hardware and Architecture (226 citations), Signal Processing (152 citations), Computer Networks and Communications (247 citations), Information Systems (129 citations) and Computer Vision and Pattern Recognition (85 citations). Ryan Rakvic has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Randy P. Broussard, Robert W. Ives, Antonio González, Pedro Chaparro, Grigorios Magklis, J. M. Gonzalez Castro, Richard A. Hankins, Bryan Black, John Paul Shen and Justin A. Blanco. Their work appears in journals such as IEEE Access, IEEE Transactions on Information Forensics and Security, Electronics, IEEE Transactions on Consumer Electronics and Computers & Security.

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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