Komal

33 papers receiving 408 citations

Komal's Hit Papers

A review on TOPSIS method and its extensions for different applications with recent development 2023 · 102 citations
1020+1+2Years since publication255075100

Peers

Komal
Comparison fields: 5 of 85
  • Statistics, Probability and Uncertainty 122
  • Management Science and Operations Research 181
  • Safety, Risk, Reliability and Quality 116
  • Medical Laboratory Technology 12
  • Statistics and Probability 54
Replace Mingshun Song with:
Mingshun Song China
Ching‐Liang Chang Taiwan
Soumava Boral India
Hakan Demirel Türkiye
Goutam Kumar Bose India
Liping He China
Luis Alberto Rodríguez‐Picón Mexico
T. Ruxton United Kingdom
Ayhan Menteş Türkiye
A. H. S. Garmabaki Sweden
Komal relative to Mingshun Song China Mingshun Song's profile →
Citations per field
00.5×11×
Mingshun Song · 1×
Citations per year

Countries citing papers authored by Komal

Since Specialization
Citations

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

Fields of papers citing papers by Komal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Komal, 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 Komal Line = papers co-authored together Komal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review on TOPSIS method and its extensions for different applications with recent development
Hit paper breakdown →
2023102
2 200951
3 201536
4 201532
5 202219
6 200916
7 201415
8 202313
9 201813
10 202312
11 202412
12 202312
13 20109
14 20178
15 20197
16 20246
17 20226
18 20176
19 20205
20 20185

About Komal

Komal is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Statistics and Probability and Control and Systems Engineering, having authored 36 papers that have together received 423 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (23 papers), Reliability and Maintenance Optimization (10 papers), Risk and Safety Analysis (9 papers), Fuzzy Systems and Optimization (8 papers), Optimization and Mathematical Programming (7 papers), Probabilistic and Robust Engineering Design (3 papers), Soil and Land Suitability Analysis (3 papers) and Energy and Environmental Sustainability (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (122 citations), Management Science and Operations Research (181 citations), Safety, Risk, Reliability and Quality (116 citations), Medical Laboratory Technology (12 citations) and Statistics and Probability (54 citations). Komal has collaborated with scholars based in India, Türkiye and South Korea. Frequent co-authors include Hasan Dınçer, S.P. Sharma, Dinesh Kumar, Daejun Chang, Sat Pal Sharma, Serhat Yüksel, Dinesh Kumar, J. S. Lather, Muniappan Sankar and Naveen Kumar. Their work appears in journals such as Applied Soft Computing, International Journal of Quality & Reliability Management, Computers & Industrial Engineering, Soft Computing and Journal of Quality in Maintenance Engineering.

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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