M. Dachyar
Impact in
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- Technology Adoption and User Behaviour
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- Big Data and Business Intelligence
Papers in
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- Big Data and Business Intelligence 15
- Business Process Modeling and Analysis 8
- Quality and Supply Management 8
- Information Technology Governance and Strategy 6
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- Management and Optimization Techniques 14
- Co-authors
- Novandra Rhezza Pratama (8 shared papers)Teuku Yuri M. Zagloel (7 shared papers)Rahmat Nurcahyo (19 shared papers)Farizal Farizal (23 shared papers)Tresna Priyana Soemardi (3 shared papers)Vo-Van Thanh (1 shared paper)Yu‐Chung Tsao (1 shared paper)Jaehyun Park (2 shared papers)
In The Last Decade
M. Dachyar
107 papers receiving 671 citations
M. Dachyar's Hit Papers
Peers
Comparison fields: 5 of 204
- Information Systems and Management 133
- Management Information Systems 158
- Marketing 158
- Strategy and Management 216
- Health Informatics 15
Countries citing papers authored by M. Dachyar
This map shows the geographic impact of M. Dachyar'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 M. Dachyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Dachyar more than expected).
Fields of papers citing papers by M. Dachyar
This network shows the impact of papers produced by M. Dachyar. 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 M. Dachyar. The network helps show where M. Dachyar may publish in the future.
Co-authors
The 14 scholars most cited alongside M. Dachyar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | E-Commerce Promotional Products Selection Using SWARA and TOPSIS Hit paper breakdown → | 2024 | 1354 |
| 2 | 2017 | 98 | |
| 3 | 2019 | 85 | |
| 4 | 2021 | 39 | |
| 5 | 2018 | 29 | |
| 6 | 2023 | 21 | |
| 7 | 2015 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 14 | |
| 11 | Business process re-engineering of logistics system in pharmaceutical company | 2016 | 12 |
| 12 | 2020 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2011 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2014 | 10 | |
| 18 | Maintenance strategy selection for steam power plant in range of capacity 300 - 625 MW in Indonesia | 2018 | 9 |
| 19 | 2021 | 9 | |
| 20 | 2015 | 9 |
About M. Dachyar
M. Dachyar is a scholar working on Management Information Systems, Strategy and Management, Information Systems, Management Science and Operations Research and Organizational Behavior and Human Resource Management, having authored 120 papers that have together received 2.1k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (15 papers), Management and Optimization Techniques (14 papers), Customer Service Quality and Loyalty (9 papers), Business Process Modeling and Analysis (8 papers), IoT and Edge/Fog Computing (8 papers), Quality and Supply Management (8 papers), Technology Adoption and User Behaviour (7 papers) and Information Technology Governance and Strategy (6 papers). The work is most often cited by research in Information Systems and Management (133 citations), Management Information Systems (158 citations), Marketing (158 citations), Strategy and Management (216 citations) and Health Informatics (15 citations). M. Dachyar has collaborated with scholars based in Indonesia, Hong Kong and Malaysia. Frequent co-authors include Novandra Rhezza Pratama, Teuku Yuri M. Zagloel, Rahmat Nurcahyo, Farizal Farizal, Tresna Priyana Soemardi, Vo-Van Thanh, Yu‐Chung Tsao, Jaehyun Park, Younghoon Chang and Eveline Siregar. Their work appears in journals such as Heliyon, Sustainability, Indian Journal of Science and Technology, Computers & Industrial Engineering and International Journal of Productivity and Performance Management.
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.