S. S. Appadoo

797 total citations
40 papers, 545 citations indexed

About

S. S. Appadoo is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, S. S. Appadoo has authored 40 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 18 papers in Control and Systems Engineering and 18 papers in Statistics and Probability. Recurrent topics in S. S. Appadoo's work include Multi-Criteria Decision Making (22 papers), Fuzzy Systems and Optimization (18 papers) and Optimization and Mathematical Programming (18 papers). S. S. Appadoo is often cited by papers focused on Multi-Criteria Decision Making (22 papers), Fuzzy Systems and Optimization (18 papers) and Optimization and Mathematical Programming (18 papers). S. S. Appadoo collaborates with scholars based in Canada, India and China. S. S. Appadoo's co-authors include Yuvraj Gajpal, Shuai Zhang, A. Thavaneswaran, Amit Kumar, C. R. Bector, Weiheng Zhang, Wei Qi, Pankaj Gupta, Riccardo Cambini and Arshdeep Kaur and has published in prestigious journals such as International Journal of Production Economics, Information Sciences and Sustainability.

In The Last Decade

S. S. Appadoo

35 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. S. Appadoo Canada	11	238	192	147	141	95	40	545
Alp Akçay Netherlands	11	189 0.8×	46 0.2×	135 0.9×	25 0.2×	25 0.3×	61	461
Angelos Georghiou Canada	12	42 0.2×	42 0.2×	333 2.3×	203 1.4×	52 0.5×	27	734
Takashi Hasuike Japan	11	50 0.2×	37 0.2×	204 1.4×	31 0.2×	101 1.1×	81	421
Bartosz Sawik Poland	13	117 0.5×	85 0.4×	79 0.5×	39 0.3×	4 0.0×	28	459
Stephan Meisel Germany	9	89 0.4×	115 0.6×	49 0.3×	197 1.4×	8 0.1×	19	439
Antônio Galvão Novaes Brazil	12	195 0.8×	50 0.3×	72 0.5×	15 0.1×	16 0.2×	35	439
Kyungsik Lee South Korea	11	134 0.6×	49 0.3×	51 0.3×	75 0.5×	10 0.1×	44	366
Nataliya Kalashnykova Mexico	8	43 0.2×	27 0.1×	67 0.5×	81 0.6×	18 0.2×	19	410
Cheng-shuo Ying Hong Kong	9	204 0.9×	78 0.4×	108 0.7×	31 0.2×	5 0.1×	15	473

Countries citing papers authored by S. S. Appadoo

Since Specialization

Citations

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

Fields of papers citing papers by S. S. Appadoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Appadoo

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Appadoo. A scholar is included among the top collaborators of S. S. Appadoo 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 S. S. Appadoo. S. S. Appadoo 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

Kumar, Amit, et al.. (2024). Multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers: modified results. Soft Computing. 28(13-14). 7589–7600.

Thavaneswaran, A., et al.. (2024). Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. 1752–1757.

Kumar, Amit, et al.. (2023). More-for-Less Solutions in Fuzzy Transportation Problems. Studies in fuzziness and soft computing.

Gajpal, Yuvraj, et al.. (2022). Optimal multi-stage group partition for efficient coronavirus screening. Annals of Operations Research. 1–17. 2 indexed citations

Appadoo, S. S., et al.. (2021). Commentary on “Utilizing Linguistic Picture Fuzzy Aggregation Operators for Multiple-Attribute Decision-Making Problems”. International Journal of Fuzzy Systems. 23(6). 1914–1917. 6 indexed citations

Kumar, Amit, et al.. (2021). Commentary on “D-Intuitionistic Hesitant Fuzzy Sets and Their Application in Multiple Attribute Decision Making”. Cognitive Computation. 13(4). 1047–1048. 11 indexed citations

Kumar, Amit, et al.. (2020). Mehar approach for solving dual-hesitant fuzzy transportation problem with restrictions. Sadhana. 45(1). 5 indexed citations

Thulasiram, Ruppa K., et al.. (2019). Design and Implementation of Financial Smart Contract Services on Blockchain. 1023–1030. 6 indexed citations

Kumar, Amit, et al.. (2019). A novel method for solving the fully neutrosophic linear programming problems: Suggested modifications. Journal of Intelligent & Fuzzy Systems. 37(1). 885–895. 10 indexed citations

10.

Kumar, Amit, et al.. (2019). A note on “Novel scaled prioritized intuitionistic fuzzy soft interaction averaging aggregation operators and their application to multi criteria decision making”. Engineering Applications of Artificial Intelligence. 87. 103287–103287. 1 indexed citations

11.

Zhang, Shuai, et al.. (2018). Electric vehicle routing problem with recharging stations for minimizing energy consumption. International Journal of Production Economics. 203. 404–413. 192 indexed citations

12.

Kumar, Amit, et al.. (2018). Mehar ranking method for comparing connection numbers and its application in decision making. Journal of Intelligent & Fuzzy Systems. 35(5). 5523–5528. 3 indexed citations

13.

Kumar, Amit, et al.. (2017). Modified Approach for Optimization of Real Life Transportation Problem in Neutrosophic Environment. Mathematical Problems in Engineering. 2017(1). 10 indexed citations

14.

Gupta, Anjana, Aparna Mehra, & S. S. Appadoo. (2014). Mixed Solution Strategy for MCGDM Problems Using Entropy/Cross Entropy in Interval-Valued Intuitionistic Fuzzy Environment. International Game Theory Review. 17(1). 1540007–1540007. 9 indexed citations

15.

Kumar, Amit, et al.. (2014). Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers. Mathematical Problems in Engineering. 2014(1). 5 indexed citations

16.

Appadoo, S. S., et al.. (2012). Fuzzy EOQ model using possibilistic approach. Journal of Advances in Management Research. 9(1). 139–164. 5 indexed citations

17.

Appadoo, S. S., et al.. (2011). Possibilistic characterization of (m,n) -Trapezoidal fuzzy numbers with applications. Journal of Interdisciplinary Mathematics. 14(4). 347–372.

18.

Appadoo, S. S., et al.. (2007). Option valuation model with adaptive fuzzy numbers. Computers & Mathematics with Applications. 53(5). 831–841. 45 indexed citations

19.

Thavaneswaran, A., S. S. Appadoo, & C. R. Bector. (2006). Recent developments in volatility modeling and applications. Journal of Applied Mathematics and Decision Sciences. 2006. 1–23. 4 indexed citations

20.

Thavaneswaran, A., et al.. (2006). Fuzzy coefficient volatility (FCV) models with applications. Mathematical and Computer Modelling. 45(7-8). 777–786. 35 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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