Michelle M.H. Şeref
- Management Information Systems top 2%
- Strategy and Management top 5%
- Management Science and Operations Research top 5%
- Marketing top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Yan QinRuoxuan WangYuwen ChenAsoo J. VakhariaJanice E. CarrilloArda YenipazarliŞ. Selçuk ErengüçOnur Şeref
- Topics
- Supply Chain and Inventory Management (2 papers)Scheduling and Optimization Algorithms (2 papers)Sentiment Analysis and Opinion Mining (2 papers)
- Cited by
- Management Information SystemsManagement Science and Operations ResearchStrategy and Management
- Journals
- European Journal of Operational ResearchInternational Journal of Production ResearchInformation Systems Frontiers
- Partner nations
- United StatesThailand
In The Last Decade
Michelle M.H. Şeref
7 papers receiving 376 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Management Information Systems 313
- Strategy and Management 175
- Management Science and Operations Research 150
- Marketing 99
- Industrial and Manufacturing Engineering 38
Countries citing papers authored by Michelle M.H. Şeref
This map shows the geographic impact of Michelle M.H. Şeref'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 Michelle M.H. Şeref with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle M.H. Şeref more than expected).
Fields of papers citing papers by Michelle M.H. Şeref
This network shows the impact of papers produced by Michelle M.H. Şeref. 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 Michelle M.H. Şeref. The network helps show where Michelle M.H. Şeref may publish in the future.
Co-authorship network of co-authors of Michelle M.H. Şeref
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M.H. Şeref. A scholar is included among the top collaborators of Michelle M.H. Şeref 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 Michelle M.H. Şeref. Michelle M.H. Şeref is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 33 | |
| 7 | The newsvendor problem: Review and directions for future researchbreakdown → | 334 |
About Michelle M.H. Şeref
Michelle M.H. Şeref is a scholar working on Management of Technology and Innovation, Management Information Systems and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 395 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (2 papers), Scheduling and Optimization Algorithms (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Management Information Systems (313 citations), Management Science and Operations Research (150 citations) and Strategy and Management (175 citations). Michelle M.H. Şeref has collaborated with scholars based in United States and Thailand. Frequent co-authors include Yan Qin, Ruoxuan Wang, Yuwen Chen, Asoo J. Vakharia, Janice E. Carrillo, Arda Yenipazarli, Ş. Selçuk Erengüç, Onur Şeref, Aydın Alptekinoğlu and Richard Gruss. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Research and Information Systems Frontiers.
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.