Mukund Subramaniyan
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- Scheduling and Optimization Algorithms 9
- Assembly Line Balancing Optimization 8
- Advanced Manufacturing and Logistics Optimization 6
- Digital Transformation in Industry 3
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- Quality and Safety in Healthcare 4
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- Big Data and Business Intelligence 3
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- Reliability and Maintenance Optimization 3
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- IoT and Edge/Fog Computing 1
- Co-authors
- Anders SkooghJon BokrantzMaheshwaran GopalakrishnanAzam Sheikh MuhammadPeter AlmströmBjörn JohanssonChristoph RoserMatthias Thürer
- Cited by
- Industrial and Manufacturing EngineeringMedical Laboratory TechnologyManagement Information Systems
In The Last Decade
Mukund Subramaniyan
15 papers receiving 404 citations
Peers
Comparison fields: 5 of 71
- Industrial and Manufacturing Engineering 279
- Medical Laboratory Technology 29
- Management Information Systems 128
- Strategy and Management 51
- Safety, Risk, Reliability and Quality 29
Countries citing papers authored by Mukund Subramaniyan
This map shows the geographic impact of Mukund Subramaniyan'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 Mukund Subramaniyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukund Subramaniyan more than expected).
Fields of papers citing papers by Mukund Subramaniyan
This network shows the impact of papers produced by Mukund Subramaniyan. 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 Mukund Subramaniyan. The network helps show where Mukund Subramaniyan may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Mukund Subramaniyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 17 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 55 | |
| 7 | 2019 | 3 | |
| 8 | Data Analytics in Maintenance Planning – DAIMP | 2019 | 0 |
| 9 | 2019 | 17 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 75 | |
| 12 | 2018 | 21 | |
| 13 | 2018 | 33 | |
| 14 | 2016 | 61 | |
| 15 | 2016 | 15 | |
| 16 | 2016 | 34 |
About Mukund Subramaniyan
Mukund Subramaniyan is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Management Information Systems, having authored 16 papers that have together received 422 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (9 papers), Assembly Line Balancing Optimization (8 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Quality and Safety in Healthcare (4 papers), Big Data and Business Intelligence (3 papers), Digital Transformation in Industry (3 papers), Reliability and Maintenance Optimization (3 papers) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (279 citations), Medical Laboratory Technology (29 citations) and Management Information Systems (128 citations). Mukund Subramaniyan has collaborated with scholars based in Sweden, Germany and Italy. Frequent co-authors include Anders Skoogh, Jon Bokrantz, Maheshwaran Gopalakrishnan, Azam Sheikh Muhammad, Peter Almström, Björn Johansson, Christoph Roser, Matthias Thürer, Pramod Bangalore and Dan Lämkull. Their work appears in journals such as Computers & Industrial Engineering, Journal of Manufacturing Systems and Production Planning & Control.
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.