Arijit Ghosh

614 total citations · 1 hit paper
16 papers, 464 citations indexed

About

Arijit Ghosh is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Arijit Ghosh has authored 16 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 4 papers in Control and Systems Engineering and 2 papers in Management, Monitoring, Policy and Law. Recurrent topics in Arijit Ghosh's work include Multi-Criteria Decision Making (12 papers), Optimization and Mathematical Programming (4 papers) and Fuzzy Systems and Optimization (2 papers). Arijit Ghosh is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Optimization and Mathematical Programming (4 papers) and Fuzzy Systems and Optimization (2 papers). Arijit Ghosh collaborates with scholars based in India, Türkiye and Saudi Arabia. Arijit Ghosh's co-authors include Sankar Prasad Mondal, Kamal Hossain Gazi, Soheil Salahshour, Suchitra Kumari, Apu Kumar Saha, Ebrahem A. Algehyne, Ali Ahmadian, Массимилиано Феррара, Aditya N. Das and Mohd Yazid Bajuri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Soft Computing and Results in Physics.

In The Last Decade

Arijit Ghosh

15 papers receiving 442 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Decision-Making Framework for Sustainable Highway Restaurant Site Selection: AHP-TOPSIS Approach based on the Fuzzy Numbers

2024 48 citations Kamal Hossain Gazi, Arijit Ghosh et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arijit Ghosh India	11	157	69	64	62	47	16	464
Majeed Heydari Iran	6	246 1.6×	34 0.5×	82 1.3×	59 1.0×	36 0.8×	11	503
Anath Rau Krishnan Malaysia	8	144 0.9×	19 0.3×	48 0.8×	31 0.5×	48 1.0×	19	408
Rodrigo José Pires Ferreira Brazil	10	148 0.9×	29 0.4×	45 0.7×	67 1.1×	21 0.4×	28	545
Gülay Demir Türkiye	12	196 1.2×	21 0.3×	41 0.6×	66 1.1×	40 0.9×	44	427
Mengmeng Shan China	8	419 2.7×	81 1.2×	79 1.2×	159 2.6×	53 1.1×	10	733
Özlem Şenvar Türkiye	12	158 1.0×	19 0.3×	65 1.0×	23 0.4×	60 1.3×	24	409
Hatem Masri Bahrain	12	109 0.7×	84 1.2×	87 1.4×	64 1.0×	29 0.6×	41	411
Shuya Zhong United Kingdom	11	114 0.7×	12 0.2×	102 1.6×	46 0.7×	29 0.6×	18	373
M. Ahsan Akhtar Hasin Bangladesh	13	254 1.6×	11 0.2×	83 1.3×	105 1.7×	45 1.0×	43	609
Zoran Babić Croatia	9	212 1.4×	23 0.3×	77 1.2×	59 1.0×	26 0.6×	38	347

Countries citing papers authored by Arijit Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Arijit Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arijit Ghosh

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Rahaman, Mostafijur, et al.. (2025). Study of the System of Uncertain Linear Differential Equations Under Neutrosophic Sense of Uncertainty. 3(1). 93–109. 2 indexed citations

Gazi, Kamal Hossain, et al.. (2024). Ranking and Challenges of Supply Chain Companies Using MCDM Methodology. SHILAP Revista de lepidopterología. 8(3). 87–87. 10 indexed citations

Gazi, Kamal Hossain, et al.. (2024). Synergistic Strategy of Sustainable Hospital Site Selection in Saudi Arabia Using Spherical Fuzzy MCDM Methodology. 17(3). 19 indexed citations

Gazi, Kamal Hossain, et al.. (2024). A Decision-Making Framework for Sustainable Highway Restaurant Site Selection: AHP-TOPSIS Approach based on the Fuzzy Numbers. 2(1). 1–26. 48 indexed citations breakdown →

Al-Zahrani, Fahad Ahmed, et al.. (2023). Optimal Site Selection for Women University Using Neutrosophic Multi-Criteria Decision Making Approach. Buildings. 13(1). 152–152. 18 indexed citations

Gazi, Kamal Hossain, et al.. (2023). A Brief Analysis and Interpretation on Arithmetic Operations of Fuzzy Numbers. Results in Control and Optimization. 13. 100312–100312. 21 indexed citations

Gazi, Kamal Hossain, et al.. (2023). A new synergistic strategy for ranking restaurant locations: A decision-making approach based on the hexagonal fuzzy numbers. RAIRO. Operations research. 57(2). 571–608. 27 indexed citations

Mondal, Sankar Prasad, et al.. (2023). Selection of cloud service providers using MCDM methodology under intuitionistic fuzzy uncertainty. Soft Computing. 27(5). 2403–2423. 25 indexed citations

Kumari, Suchitra, et al.. (2022). Transformation and risk assessment of the East Kolkata Wetlands (India) using fuzzy MCDM method and geospatial technology. Geography and sustainability. 3(3). 191–203. 28 indexed citations

10.

Ghosh, Arijit, et al.. (2022). Evaluation of the conspicuous EPL matches for sponsorships using data envelopment analysis. International Journal of Health Sciences. 8208–8217.

11.

Jana, Subrata, et al.. (2022). Ranking of Financial Apps Using Fuzzy Ahp and Fuzzy Marcos: An Application of Multi-Criteria Decision-Making (Mcdm) Techniques. SSRN Electronic Journal. 1 indexed citations

12.

Ghosh, Arijit, Sankar Prasad Mondal, Mohd Yazid Bajuri, et al.. (2021). Identification of dominant risk factor involved in spread of COVID-19 using hesitant fuzzy MCDM methodology. Results in Physics. 21. 103811–103811. 71 indexed citations

13.

Ghosh, Arijit, et al.. (2021). Application of Hexagonal Fuzzy MCDM Methodology for Site Selection of Electric Vehicle Charging Station. Mathematics. 9(4). 393–393. 68 indexed citations

14.

Sarkar, Anirban, et al.. (2020). Application of Fuzzy TOPSIS Algorithm for Selecting Best Family Car. 2020 International Conference on Decision Aid Sciences and Application (DASA). 59–63. 5 indexed citations

15.

Ghosh, Arijit, et al.. (2020). AHP-TOPSIS Inspired Shopping Mall Site Selection Problem with Fuzzy Data. Mathematics. 8(8). 1380–1380. 53 indexed citations

16.

Ghosh, Arijit. (2006). Determination of Executive Compensation in an Emerging Economy. Evidence from India. Emerging Markets Finance and Trade. 42(3). 66–90. 68 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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