Erman Ayday

2.6k citations
92 papers · 1.5k · h-index 24

Impact in

Papers in

Erman Ayday

86 papers receiving 1.4k citations

Peers

Erman Ayday
Comparison fields: 5 of 97
  • Artificial Intelligence 926
  • Cancer Research 218
  • Computer Networks and Communications 320
  • Health Informatics 18
  • Information Systems 263
Replace Noman Mohammed with:
Noman Mohammed Canada
Juan Ramón Troncoso-Pastoriza Spain
Jesualdo Tomás Fernández‐Breis Spain
Vaibhav Rajan Singapore
Congzheng Song United States
Tania Tudorache United States
Peter Mork United States
Yue Wang China
Bing Tian Dai Singapore
Erman Ayday relative to Noman Mohammed Canada Noman Mohammed's profile →
Citations per field
00.5×1.5×2.2×
Noman Mohammed · 1×
Citations per year

Countries citing papers authored by Erman Ayday

Since Specialization
Citations

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

Fields of papers citing papers by Erman Ayday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 201884
3 201380
4 201368
5 201159
6 201848
7 201547
8
Privacy-preserving computation of disease risk by using genomic, clinical, and environmental data
201343
9 201139
10 201738
11 201538
12 201336
13 201535
14 201934
15 201631
16 201431
17 201926
18 201726
19 201625
20 201525

About Erman Ayday

Erman Ayday is a scholar working on Artificial Intelligence, Computer Networks and Communications, Public Health, Environmental and Occupational Health, Genetics and Molecular Biology, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (45 papers), Cryptography and Data Security (24 papers), Ethics in Clinical Research (19 papers), Cancer Genomics and Diagnostics (10 papers), Mobile Ad Hoc Networks (9 papers), Security in Wireless Sensor Networks (7 papers), Genomics and Rare Diseases (7 papers) and Genetic Associations and Epidemiology (6 papers). The work is most often cited by research in Artificial Intelligence (926 citations), Cancer Research (218 citations), Computer Networks and Communications (320 citations), Health Informatics (18 citations) and Information Systems (263 citations). Erman Ayday has collaborated with scholars based in United States, Türkiye and Switzerland. Frequent co-authors include Jean‐Pierre Hubaux, Faramarz Fekri, Mathias Humbert, Jacques Fellay, Jean Louis Raisaro, Amalio Telenti, Zhicong Huang, Carl A. Gunter, A. Ercüment Çiçek and Muhammad Naveed. Their work appears in journals such as Bioinformatics, IEEE Transactions on Dependable and Secure Computing, Computer, Genome Research and Ad Hoc Networks.

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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