N. Foroozesh

514 total citations
20 papers, 426 citations indexed

About

N. Foroozesh is a scholar working on Management Science and Operations Research, Strategy and Management and Control and Systems Engineering. According to data from OpenAlex, N. Foroozesh has authored 20 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 15 papers in Strategy and Management and 3 papers in Control and Systems Engineering. Recurrent topics in N. Foroozesh's work include Multi-Criteria Decision Making (17 papers), Sustainable Supply Chain Management (15 papers) and Supply Chain Resilience and Risk Management (5 papers). N. Foroozesh is often cited by papers focused on Multi-Criteria Decision Making (17 papers), Sustainable Supply Chain Management (15 papers) and Supply Chain Resilience and Risk Management (5 papers). N. Foroozesh collaborates with scholars based in Iran, France and Australia. N. Foroozesh's co-authors include Seyed Meysam Mousavi, Reza Tavakkoli‐Moghaddam, Behrooz Karimi, Hamed Farrokhi-Asl, Behnam Vahdani, Mohammad Mojtahedi, Hossein Gitinavard, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė and Fariborz Jolai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

N. Foroozesh

20 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
N. Foroozesh Iran	9	250	205	116	56	54	20	426
Gökhan Özçelik Türkiye	12	204 0.8×	150 0.7×	117 1.0×	50 0.9×	59 1.1×	29	443
Soroush Avakh Darestani Iran	13	239 1.0×	151 0.7×	147 1.3×	120 2.1×	76 1.4×	62	546
Thomy Eko Saputro Indonesia	9	169 0.7×	163 0.8×	118 1.0×	61 1.1×	48 0.9×	22	338
Omid Jadidi United States	12	232 0.9×	262 1.3×	193 1.7×	52 0.9×	124 2.3×	20	476
Hassan Khademi Zare Iran	10	123 0.5×	76 0.4×	89 0.8×	62 1.1×	41 0.8×	32	316
Şeyda Serdarasan Türkiye	9	197 0.8×	153 0.7×	161 1.4×	60 1.1×	24 0.4×	16	484
Fatma Betül Yeni Türkiye	10	199 0.8×	100 0.5×	115 1.0×	118 2.1×	37 0.7×	15	411
Mohammad Hashemi-Tabatabaei Iran	11	167 0.7×	293 1.4×	62 0.5×	39 0.7×	63 1.2×	19	469
Mojtaba Heydar Australia	12	90 0.4×	168 0.8×	58 0.5×	148 2.6×	67 1.2×	28	452
Eduarda Asfora Frej Brazil	12	119 0.5×	246 1.2×	70 0.6×	73 1.3×	60 1.1×	31	508

Countries citing papers authored by N. Foroozesh

Since Specialization

Citations

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

Fields of papers citing papers by N. Foroozesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Foroozesh

This figure shows the co-authorship network connecting the top 25 collaborators of N. Foroozesh. A scholar is included among the top collaborators of N. Foroozesh 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 N. Foroozesh. N. Foroozesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Foroozesh, N., Behrooz Karimi, Seyed Meysam Mousavi, & Mohammad Mojtahedi. (2023). A hybrid decision-making method using robust programming and interval-valued fuzzy sets for sustainable-resilient supply chain network design considering circular economy and technology levels. Journal of Industrial Information Integration. 33. 100440–100440. 39 indexed citations

Foroozesh, N., Behrooz Karimi, & Seyed Meysam Mousavi. (2022). Green-resilient supply chain network design for perishable products considering route risk and horizontal collaboration under robust interval-valued type-2 fuzzy uncertainty: A case study in food industry. Journal of Environmental Management. 307. 114470–114470. 68 indexed citations

Foroozesh, N., Fariborz Jolai, Seyed Meysam Mousavi, & Behrooz Karimi. (2021). A new fuzzy-stochastic compromise ratio approach for green supplier selection problem with interval-valued possibilistic statistical information. Neural Computing and Applications. 33(13). 7893–7911. 15 indexed citations

Mousavi, Seyed Meysam, N. Foroozesh, Edmundas Kazimieras Zavadskas, & Jurgita Antuchevičienė. (2020). A new soft computing approach for green supplier selection problem with interval type-2 trapezoidal fuzzy statistical group decision and avoidance of information loss. Soft Computing. 24(16). 12313–12327. 24 indexed citations

Foroozesh, N., Seyed Meysam Mousavi, Mohammad Mojtahedi, & Hossein Gitinavard. (2020). Maintenance policy selection considering resilience engineering by a new interval-valued fuzzy decision model under uncertain conditions. Scientia Iranica. 0(0). 0–0. 2 indexed citations

Mousavi, Seyed Meysam, Hossein Gitinavard, Behnam Vahdani, & N. Foroozesh. (2019). Hierarchical Group Compromise Ranking Methodology Based on Euclidean–Hausdorff Distance Measure Under Uncertainty: An Application to Facility Location Selection Problem. SHILAP Revista de lepidopterología. 1 indexed citations

Gitinavard, Hossein, N. Foroozesh, Seyed Meysam Mousavi, & Vahid Mohagheghi. (2018). Soft computing based on a selection index method with risk preferences under uncertainty: applications to construction industry. 4(4). 238–238. 4 indexed citations

Mohagheghi, Vahid, Seyed Meysam Mousavi, Hossein Gitinavard, & N. Foroozesh. (2018). Soft computing based on a selection index method with risk preferences under uncertainty: applications to construction industry. 4(4). 238–238. 2 indexed citations

Foroozesh, N., Reza Tavakkoli‐Moghaddam, Seyed Meysam Mousavi, & Behnam Vahdani. (2018). A new comprehensive possibilistic group decision approach for resilient supplier selection with mean–variance–skewness–kurtosis and asymmetric information under interval-valued fuzzy uncertainty. Neural Computing and Applications. 31(11). 6959–6979. 17 indexed citations

10.

Foroozesh, N. & Reza Tavakkoli‐Moghaddam. (2018). Assessment of Green Supplier Development Programs by a New Group Decision-Making Model Considering Possibilistic Statistical Uncertainty. 3(2). 1–10. 3 indexed citations

11.

Foroozesh, N., Reza Tavakkoli‐Moghaddam, & Seyed Meysam Mousavi. (2018). An interval-valued fuzzy statistical group decision making approach with new evaluating indices for sustainable supplier selection problem. Journal of Intelligent & Fuzzy Systems. 36(2). 1855–1866. 16 indexed citations

12.

Foroozesh, N., Reza Tavakkoli‐Moghaddam, & Seyed Meysam Mousavi. (2017). Resilient Supplier Selection in a Supply Chain by a New Interval-Valued Fuzzy Group Decision Model Based on Possibilistic Statistical Concepts. Journal of industrial and systems engineering.. 10(2). 113–133. 8 indexed citations

13.

Foroozesh, N., Hossein Gitinavard, Seyed Meysam Mousavi, & Behnam Vahdani. (2017). A hesitant fuzzy extension of VIKOR method for evaluation and selection problems under uncertainty. International Journal of Applied Management Science. 9(2). 95–95. 7 indexed citations

14.

Foroozesh, N., Reza Tavakkoli‐Moghaddam, & Seyed Meysam Mousavi. (2017). Sustainable-supplier selection for manufacturing services: a failure mode and effects analysis model based on interval-valued fuzzy group decision-making. The International Journal of Advanced Manufacturing Technology. 95(9-12). 3609–3629. 62 indexed citations

15.

Foroozesh, N., et al.. (2017). Sustainable supplier selection by a new decision model based on interval-valued fuzzy sets and possibilistic statistical reference point systems under uncertainty. International Journal of Systems Science Operations & Logistics. 6(2). 162–178. 109 indexed citations

16.

Foroozesh, N., Reza Tavakkoli‐Moghaddam, & Seyed Meysam Mousavi. (2017). A novel group decision model based on mean–variance–skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty. Neural Computing and Applications. 30(11). 3277–3293. 23 indexed citations

17.

Foroozesh, N., et al.. (2017). Solving group decision-making problems in manufacturing systems by an uncertain compromise ranking method. International Journal of Applied Decision Sciences. 11(1). 1–1. 6 indexed citations

18.

Mousavi, Seyed Meysam, N. Foroozesh, Hossein Gitinavard, & Behnam Vahdani. (2017). A hesitant fuzzy extension of VIKOR method for evaluation and selection problems under uncertainty. International Journal of Applied Management Science. 9(2). 95–95. 6 indexed citations

19.

Foroozesh, N., Reza Tavakkoli‐Moghaddam, Seyed Meysam Mousavi, & Behnam Vahdani. (2017). Dispatching Rule Evaluation in Flexible Manufacturing Systems by a New Fuzzy Decision Model with Possibilistic-Statistical Uncertainties. Arabian Journal for Science and Engineering. 42(7). 2947–2960. 8 indexed citations

20.

Mousavi, Seyed Meysam, N. Foroozesh, Hossein Gitinavard, & Behnam Vahdani. (2017). Solving group decision-making problems in manufacturing systems by an uncertain compromise ranking method. International Journal of Applied Decision Sciences. 11(1). 55–55. 6 indexed citations

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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