Mahya Seyedan

564 citations
7 papers · 307 indexed · 1 hit paper · h-index 5
Topics
Supply Chain and Inventory Management (4 papers)Forecasting Techniques and Applications (4 papers)Stock Market Forecasting Methods (3 papers)
Journals
SHILAP Revista de lepidopterologíaAnnals of Operations ResearchJournal Of Big Data
Partner nations
CanadaIranChina

In The Last Decade

Mahya Seyedan

7 papers receiving 276 citations

Hit Papers

Predictive big data analytics for supply chain demand for...2020202620222024202050100150200

Peers

Mahya Seyedan
Comparison fields: 5 of 72
  • Management Information Systems 132
  • Management Science and Operations Research 93
  • Strategy and Management 74
  • Industrial and Manufacturing Engineering 44
  • Marketing 34
Replace Konstantia Litsiou with:
Konstantia Litsiou United Kingdom
Süleyman Ersöz Türkiye
Sumit Sakhuja India
Kajla Basu India
James A. Rappold United States
Béatrice Canel-Depitre France
Alireza Haji Iran
Shaoxuan Liu China
Mustafa S. Canbolat Canada
Mahya Seyedan relative to Konstantia Litsiou United Kingdom Konstantia Litsiou's profile →
Citations per field
00.5×
Konstantia Litsiou · 1×
Citations per year

Countries citing papers authored by Mahya Seyedan

Since Specialization
Citations

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

Fields of papers citing papers by Mahya Seyedan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahya Seyedan

This figure shows the co-authorship network connecting the top 25 collaborators of Mahya Seyedan. A scholar is included among the top collaborators of Mahya Seyedan 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 Mahya Seyedan. Mahya Seyedan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 23
2 30
3
Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunitiesbreakdown →
233
4 14
5 5
6 1
7 1

About Mahya Seyedan

Mahya Seyedan is a scholar working on Management Information Systems, Management Science and Operations Research and Speech and Hearing, having authored 7 papers that have together received 307 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (4 papers), Forecasting Techniques and Applications (4 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Management Information Systems (132 citations), Management Science and Operations Research (93 citations) and Strategy and Management (74 citations). Mahya Seyedan has collaborated with scholars based in Canada, Iran and China. Frequent co-authors include Fereshteh Mafakheri, Chun Wang, Amir‐Reza Abtahi and Omid Mahdi Ebadati E.. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Operations Research and Journal Of Big Data.

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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