Bilal Ervural

16 papers receiving 248 citations

Peers

Bilal Ervural
Comparison fields: 5 of 54
  • Management Science and Operations Research 133
  • General Energy 5
  • Statistics, Probability and Uncertainty 23
  • Management of Technology and Innovation 21
  • Medical Laboratory Technology 4
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Esra Baş Türkiye
Nima Gerami Seresht Canada
Ming‐Tao Chou Taiwan
Fengjia Guo China
Norsyahida Zulkifli Malaysia
Celal Alpay Havle Türkiye
Zoran Gligorić Serbia
Nazanin Vafaei Portugal
Renata Pelissari Brazil
Arthur Pinheiro de Araújo Costa Brazil
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Citations per year

Countries citing papers authored by Bilal Ervural

Since Specialization
Citations

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

Fields of papers citing papers by Bilal Ervural

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Bilal Ervural, 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 Bilal Ervural Line = papers co-authored together Bilal Ervural links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201770
2 202329
3 201824
4 202320
5 201920
6 201619
7 201818
8
Multiple Attribute Group Decision Making: a Generic Conceptual Framework and a Classification Scheme
201818
9 201912
10 20156
11 20166
12 20175
13 20242
14 20242
15 20162
16 20161
17 20240
18 20250

About Bilal Ervural

Bilal Ervural is a scholar working on Management Science and Operations Research, Strategy and Management, Artificial Intelligence, Electrical and Electronic Engineering and Management Information Systems, having authored 18 papers that have together received 254 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (7 papers), Sustainable Supply Chain Management (3 papers), Energy Load and Power Forecasting (2 papers), Optimization and Mathematical Programming (2 papers), Grey System Theory Applications (2 papers), Quality and Supply Management (2 papers), Quality Function Deployment in Product Design (2 papers) and Cognitive Science and Mapping (2 papers). The work is most often cited by research in Management Science and Operations Research (133 citations), General Energy (5 citations), Statistics, Probability and Uncertainty (23 citations), Management of Technology and Innovation (21 citations) and Medical Laboratory Technology (4 citations). Bilal Ervural has collaborated with scholars based in Türkiye, Luxembourg and Iran. Frequent co-authors include Özgür Kabak, Beyzanur Çayır Ervural, Hüseyin Haklı, Selim Zaim, Reza Hafezi, Mohammad Alipour, Mohamad Amin Kaviani, Alp Üstündağ, Metin Çelik and Emre Çevikcan. Their work appears in journals such as Operations Research Perspectives, Engineering Failure Analysis, International Journal of Fuzzy Systems, Computers & Industrial Engineering and Maritime Policy & Management.

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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