Ronay Ak

1.4k citations
23 papers · 935 · h-index 13

Impact in

Papers in

Ronay Ak

21 papers receiving 903 citations

Peers

Ronay Ak
Comparison fields: 5 of 104
  • Industrial and Manufacturing Engineering 270
  • Artificial Intelligence 261
  • Statistics, Probability and Uncertainty 52
  • Information Systems 133
  • Management Science and Operations Research 73
Replace Bissan Ghaddar with:
Bissan Ghaddar Canada
B. Lindemann Germany
Weiting Zhang China
Koorush Ziarati Iran
Symone Gomes Soares Alcalá Portugal
Benjamı́n Barán Paraguay
P. Salini Italy
Jongpil Jeong South Korea
Nyoman Gunantara Indonesia
Min Huang China
Ronay Ak relative to Bissan Ghaddar Canada Bissan Ghaddar's profile →
Citations per field
00.5×1.5×2.3×
Bissan Ghaddar · 1×
Citations per year

Countries citing papers authored by Ronay Ak

Since Specialization
Citations

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

Fields of papers citing papers by Ronay Ak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018195
2 2017145
3 2015132
4 2021106
5 201567
6 201251
7 201745
8 201744
9 201839
10 202023
11 201615
12 201514
13 201512
14 20159
15 20187
16 20157
17 20227
18 20086
19 20213
20 20093

About Ronay Ak

Ronay Ak is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 23 papers that have together received 935 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), Recommender Systems and Techniques (4 papers), Fault Detection and Control Systems (4 papers), Risk and Safety Analysis (3 papers), Energy Load and Power Forecasting (3 papers), Manufacturing Process and Optimization (3 papers), Advanced machining processes and optimization (3 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (270 citations), Artificial Intelligence (261 citations), Statistics, Probability and Uncertainty (52 citations), Information Systems (133 citations) and Management Science and Operations Research (73 citations). Ronay Ak has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include Enrico Zio, Michael Sharp, Thomas Hedberg, Olga Fink, Kincho H. Law, Max Ferguson, Valeria Vitelli, Yung-Tsun Tina Lee, Gabriel de Souza Pereira Moreira and Jeong Min Lee. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Expert Systems with Applications, Journal of Manufacturing Systems, Computers in Industry and International Journal of Electrical Power & Energy Systems.

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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