Ryan Gabrys

2.3k citations
97 papers · 1.7k · h-index 21

Impact in

Papers in

Ryan Gabrys

91 papers receiving 1.7k citations

Peers

Ryan Gabrys
Comparison fields: 5 of 35
  • Artificial Intelligence 1.1k
  • Computer Networks and Communications 428
  • Molecular Biology 573
  • Discrete Mathematics and Combinatorics 37
  • Information Systems 44
Replace Antonia Wachter-Zeh with:
Antonia Wachter-Zeh Germany
Han Mao Kiah Singapore
Kees A. Schouhamer Immink Netherlands
Eitan Yaakobi Israel
Netanel Raviv United States
Wing-Kai Hon Taiwan
Farzad Farnoud United States
Mohammad Kaykobad Bangladesh
Xuejia Lai China
Martin Bossert Germany
Ryan Gabrys relative to Antonia Wachter-Zeh Germany Antonia Wachter-Zeh's profile →
Citations per field
00.5×2×3.4×
Antonia Wachter-Zeh · 1×
Citations per year

Countries citing papers authored by Ryan Gabrys

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Gabrys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017287
2 2016133
3 201772
4 201967
5 201863
6 202058
7 201356
8 201754
9 201854
10 202150
11 201842
12 201737
13 201234
14 201833
15 202033
16 202028
17 201927
18 201925
19 202125
20 201823

About Ryan Gabrys

Ryan Gabrys is a scholar working on Artificial Intelligence, Computer Networks and Communications, Discrete Mathematics and Combinatorics, Information Systems and Molecular Biology, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include Coding theory and cryptography (60 papers), Algorithms and Data Compression (28 papers), DNA and Biological Computing (16 papers), Advanced Data Storage Technologies (14 papers), Error Correcting Code Techniques (11 papers), Information and Cyber Security (6 papers), Smart Grid Security and Resilience (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Networks and Communications (428 citations), Molecular Biology (573 citations), Discrete Mathematics and Combinatorics (37 citations) and Information Systems (44 citations). Ryan Gabrys has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Olgica Milenković, Eitan Yaakobi, S. M. Hossein Tabatabaei Yazdi, Lara Dolecek, Frédéric Sala, Clayton Schoeny, Han Mao Kiah, Jehoshua Bruck, Jin Sima and Antonia Wachter-Zeh. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, Designs Codes and Cryptography, Journal of the Association for Information Systems and AI Magazine.

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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