Enes Eryarsoy
- Strategy and Management top 10%
- Artificial Intelligence
- Safety, Risk, Reliability and Quality top 5%
- Economics and Econometrics
- Building and Construction top 10%
- Co-authors
- Dursun DelenKazim TopuzBehrooz DavazdahemamiLeman TomakSelim ZaimAnurag AgarwalMehmet Fatih AçarQian Tang
- Topics
- Quality and Supply Management (5 papers)COVID-19 epidemiological studies (5 papers)Supply Chain Resilience and Risk Management (5 papers)
- Cited by
- Modeling and SimulationBusiness and International ManagementSafety, Risk, Reliability and Quality
- Journals
- European Journal of Operational ResearchJournal of Business ResearchIEEE Transactions on Fuzzy Systems
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Enes Eryarsoy
29 papers receiving 516 citations
Peers
Comparison fields: 5 of 102
- Strategy and Management 100
- Artificial Intelligence 72
- Safety, Risk, Reliability and Quality 68
- Economics and Econometrics 64
- Building and Construction 62
Countries citing papers authored by Enes Eryarsoy
This map shows the geographic impact of Enes Eryarsoy'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 Enes Eryarsoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enes Eryarsoy more than expected).
Fields of papers citing papers by Enes Eryarsoy
This network shows the impact of papers produced by Enes Eryarsoy. 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 Enes Eryarsoy. The network helps show where Enes Eryarsoy may publish in the future.
Co-authorship network of co-authors of Enes Eryarsoy
This figure shows the co-authorship network connecting the top 25 collaborators of Enes Eryarsoy. A scholar is included among the top collaborators of Enes Eryarsoy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Enes Eryarsoy. Enes Eryarsoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 21 | |
| 6 | 32 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 62 | |
| 10 | 15 | |
| 11 | 54 | |
| 12 | 25 | |
| 13 | 15 | |
| 14 | 94 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 48 | |
| 18 | An actor-network theory (ANT) approach to Turkish e-government gateway initiative | 1 |
| 19 | 42 | |
| 20 | 7 |
About Enes Eryarsoy
Enes Eryarsoy is a scholar working on Modeling and Simulation, Management Information Systems and Computer Science Applications, having authored 30 papers that have together received 538 indexed citations. Recurring topics across this work include Quality and Supply Management (5 papers), COVID-19 epidemiological studies (5 papers) and Supply Chain Resilience and Risk Management (5 papers). The work is most often cited by research in Modeling and Simulation (52 citations), Business and International Management (16 citations) and Safety, Risk, Reliability and Quality (68 citations). Enes Eryarsoy has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Dursun Delen, Kazim Topuz, Behrooz Davazdahemami, Leman Tomak, Selim Zaim, Anurag Agarwal, Mehmet Fatih Açar, Qian Tang, Yipeng Liu and Hsing Kenneth Cheng. Their work appears in journals such as European Journal of Operational Research, Journal of Business Research and IEEE Transactions on Fuzzy 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.