Arash Ghanbari
- Management Science and Operations Research top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Sociology and Political Science
- Co-authors
- Esmaeil HadavandiHassan ShavandiSalman Abbasian‐NaghnehKamran ShahanaghiSeyed Mahmood KazemiS.F. GhaderiMansoureh AzadehJafar Razmi
- Topics
- Stock Market Forecasting Methods (10 papers)Energy Load and Power Forecasting (10 papers)Neural Networks and Applications (7 papers)
- Cited by
- Management Science and Operations ResearchTourism, Leisure and Hospitality ManagementArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaTourism ManagementExpert Systems with Applications
- Partner nations
- Iran
In The Last Decade
Arash Ghanbari
17 papers receiving 635 citations
Peers
Comparison fields: 5 of 90
- Management Science and Operations Research 364
- Electrical and Electronic Engineering 213
- Artificial Intelligence 183
- Economics and Econometrics 134
- Sociology and Political Science 66
Countries citing papers authored by Arash Ghanbari
This map shows the geographic impact of Arash Ghanbari'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 Arash Ghanbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arash Ghanbari more than expected).
Fields of papers citing papers by Arash Ghanbari
This network shows the impact of papers produced by Arash Ghanbari. 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 Arash Ghanbari. The network helps show where Arash Ghanbari may publish in the future.
Co-authorship network of co-authors of Arash Ghanbari
This figure shows the co-authorship network connecting the top 25 collaborators of Arash Ghanbari. A scholar is included among the top collaborators of Arash Ghanbari 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 Arash Ghanbari. Arash Ghanbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | Impact of pavement condition indicators on road safety in New Brunswick | 2 |
| 4 | 1 | |
| 5 | 76 | |
| 6 | 46 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 55 | |
| 10 | 80 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 290 | |
| 14 | 13 | |
| 15 | 8 | |
| 16 | 39 | |
| 17 | 14 | |
| 18 | 5 | |
| 19 | Introducing a Novel Model to Determine CLV | 1 |
About Arash Ghanbari
Arash Ghanbari is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering, having authored 19 papers that have together received 675 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (10 papers), Energy Load and Power Forecasting (10 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Management Science and Operations Research (364 citations), Tourism, Leisure and Hospitality Management (25 citations) and Artificial Intelligence (183 citations). Arash Ghanbari has collaborated with scholars based in Iran. Frequent co-authors include Esmaeil Hadavandi, Hassan Shavandi, Salman Abbasian‐Naghneh, Kamran Shahanaghi, Seyed Mahmood Kazemi, S.F. Ghaderi, Mansoureh Azadeh, Jafar Razmi and Karim Mazaheri. Their work appears in journals such as SHILAP Revista de lepidopterología, Tourism Management and Expert Systems with Applications.
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.