Babak Teimourpour
- Marketing top 10%
- Artificial Intelligence
- Sociology and Political Science
- Statistical and Nonlinear Physics top 10%
- Organizational Behavior and Human Resource Management
- Co-authors
- Mohammad Mehdi SepehriAmir AlbadviSarvenaz ChoobdarSayed‐Amir MarashiKambiz Heidarzadeh HanzaeeSeyyed‐Mahdi Hosseini‐MotlaghPejman ShadpourFarshad Farzadfar
- Topics
- Complex Network Analysis Techniques (9 papers)Bioinformatics and Genomic Networks (5 papers)Advanced Text Analysis Techniques (4 papers)
- Cited by
- MarketingOrganizational Behavior and Human Resource ManagementStatistical and Nonlinear Physics
In The Last Decade
Babak Teimourpour
34 papers receiving 242 citations
Peers
Comparison fields: 5 of 81
- Marketing 72
- Artificial Intelligence 57
- Sociology and Political Science 42
- Statistical and Nonlinear Physics 39
- Organizational Behavior and Human Resource Management 36
Countries citing papers authored by Babak Teimourpour
This map shows the geographic impact of Babak Teimourpour'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 Babak Teimourpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Babak Teimourpour more than expected).
Fields of papers citing papers by Babak Teimourpour
This network shows the impact of papers produced by Babak Teimourpour. 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 Babak Teimourpour. The network helps show where Babak Teimourpour may publish in the future.
Co-authorship network of co-authors of Babak Teimourpour
This figure shows the co-authorship network connecting the top 25 collaborators of Babak Teimourpour. A scholar is included among the top collaborators of Babak Teimourpour 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 Babak Teimourpour. Babak Teimourpour 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 | 3 | |
| 3 | 1 | |
| 4 | Artificial Intelligence in the Food Industry: Food Waste Estimation based on Computer Vision, a Brief Case Study in a University Dining Hall | 1 |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | Case-Based-Reasoning System for Feature Selection and Diagnosing Disease; Case Study: Asthma | 4 |
| 18 | 13 | |
| 19 | Webometrics-based Analysis and Ranking of Iranian Hospital Websites | 8 |
| 20 | A Three-phase Hybrid Times Series Modeling Framework for Improved Hospital Inventory Demand Forecast | 12 |
About Babak Teimourpour
Babak Teimourpour is a scholar working on Statistical and Nonlinear Physics, Marketing and Artificial Intelligence, having authored 38 papers that have together received 255 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Bioinformatics and Genomic Networks (5 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Marketing (72 citations), Organizational Behavior and Human Resource Management (36 citations) and Statistical and Nonlinear Physics (39 citations). Babak Teimourpour has collaborated with scholars based in Iran and Japan. Frequent co-authors include Mohammad Mehdi Sepehri, Amir Albadvi, Sarvenaz Choobdar, Sayed‐Amir Marashi, Kambiz Heidarzadeh Hanzaee, Seyyed‐Mahdi Hosseini‐Motlagh, Pejman Shadpour, Farshad Farzadfar, Toktam Khatibi and Hadi Zare. Their work appears in journals such as Computers in Human Behavior, Expert Systems with Applications and Neural Computing and 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.