Farshid Abdi

570 citations
39 papers · 412 · h-index 11

Impact in

Papers in

Farshid Abdi

37 papers receiving 393 citations

Peers

Farshid Abdi
Comparison fields: 5 of 85
  • Management Science and Operations Research 127
  • Marketing 88
  • Organizational Behavior and Human Resource Management 63
  • Management Information Systems 54
  • Management of Technology and Innovation 42
Replace Pi‐Fang Hsu with:
Pi‐Fang Hsu Taiwan
Razia Sultana Sumi Bangladesh
Reza Sheikh Iran
Miriam F. Bongo Philippines
Alireza Pooya Iran
Héctor López-Ospina Chile
Milan Andrejić Serbia
Chi-Jen Lin Taiwan
Hossein Bodaghi Khajeh Noubar Iran
De Xia China
Farshid Abdi relative to Pi‐Fang Hsu Taiwan Pi‐Fang Hsu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Farshid Abdi

Since Specialization
Citations

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

Fields of papers citing papers by Farshid Abdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Farshid Abdi, 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 Farshid Abdi Line = papers co-authored together Farshid Abdi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201861
2 202152
3 201129
4 202127
5 201626
6 201823
7 202016
8 202312
9 202311
10 201710
11 201810
12 201310
13 201410
14
Hospital leanness assessment model: A fuzzy MULTI-MOORA decision making approach
20189
15 20179
16 20129
17 20218
18 20217
19 20167
20 20227

About Farshid Abdi

Farshid Abdi is a scholar working on Management Science and Operations Research, Strategy and Management, Marketing, Organizational Behavior and Human Resource Management and Management Information Systems, having authored 39 papers that have together received 412 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (7 papers), Customer churn and segmentation (7 papers), Stock Market Forecasting Methods (5 papers), Sustainable Supply Chain Management (5 papers), Data Mining Algorithms and Applications (4 papers), Energy Load and Power Forecasting (4 papers), Forecasting Techniques and Applications (4 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Management Science and Operations Research (127 citations), Marketing (88 citations), Organizational Behavior and Human Resource Management (63 citations), Management Information Systems (54 citations) and Management of Technology and Innovation (42 citations). Farshid Abdi has collaborated with scholars based in Iran, Chile and United Kingdom. Frequent co-authors include Kaveh Khalili‐Damghani, Amir Karbassi Yazdi, Ashkan Hafezalkotob, Vahidreza Ghezavati, Peter Wänke, Thomas Hanne, Ahmad Makui, Elham Salimi, Abbas Ghalandarzadeh and Saber Saati. Their work appears in journals such as IEEE Access, Journal of Business and Industrial Marketing, Kybernetes, Journal of Cleaner Production and Applied Soft Computing.

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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