Tahereh Nodehi
Impact in
- Management Information Systems top 10%
- FinTech, Crowdfunding, Digital Finance
- Big Data and Business Intelligence
Papers in
-
- Cloud Computing and Resource Management 4
- Blockchain Technology Applications and Security 3
-
- IoT and Edge/Fog Computing 2
- Distributed and Parallel Computing Systems 2
- Co-authors
- António Grilo (9 shared papers)Aneesh Zutshi (8 shared papers)Ricardo Jardim‐Gonçalves (6 shared papers)
- Journals
- Computers & Industrial Engineering (2 papers)International Journal of Computer Integrated Manufacturing (2 papers)Journal of Simulation (1 paper)Technological Forecasting and Social Change (1 paper)RePEc: Research Papers in Economics (1 paper)
- Partner nations
- Portugal
In The Last Decade
Tahereh Nodehi
13 papers receiving 275 citations
Peers
Comparison fields: 5 of 58
- Management Information Systems 68
- Business and International Management 10
- Information Systems 111
- Industrial and Manufacturing Engineering 45
- Strategy and Management 63
Countries citing papers authored by Tahereh Nodehi
This map shows the geographic impact of Tahereh Nodehi'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 Tahereh Nodehi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tahereh Nodehi more than expected).
Fields of papers citing papers by Tahereh Nodehi
This network shows the impact of papers produced by Tahereh Nodehi. 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 Tahereh Nodehi. The network helps show where Tahereh Nodehi may publish in the future.
Co-authors
The 3 scholars most cited alongside Tahereh Nodehi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 90 | |
| 2 | 2022 | 85 | |
| 3 | 2016 | 39 | |
| 4 | 2022 | 23 | |
| 5 | 2015 | 15 | |
| 6 | 2017 | 9 | |
| 7 | 2017 | 7 | |
| 8 | 2019 | 7 | |
| 9 | On MDA - SOA based Intercloud Interoperability framework | 2013 | 5 |
| 10 | 2014 | 5 | |
| 11 | 2014 | 3 | |
| 12 | 2014 | 2 | |
| 13 | Simulation of tariff plan selection by online users using Agent Based Models | 2015 | 1 |
About Tahereh Nodehi
Tahereh Nodehi is a scholar working on Information Systems, Computer Networks and Communications, Management Information Systems, Strategy and Management and Management Science and Operations Research, having authored 13 papers that have together received 291 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), FinTech, Crowdfunding, Digital Finance (3 papers), Blockchain Technology Applications and Security (3 papers), Digital Platforms and Economics (3 papers), IoT and Edge/Fog Computing (2 papers), Innovation Diffusion and Forecasting (2 papers), Distributed and Parallel Computing Systems (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Management Information Systems (68 citations), Business and International Management (10 citations), Information Systems (111 citations), Industrial and Manufacturing Engineering (45 citations) and Strategy and Management (63 citations). Tahereh Nodehi has collaborated with scholars based in Portugal. Frequent co-authors include António Grilo, Aneesh Zutshi and Ricardo Jardim‐Gonçalves. Their work appears in journals such as Computers & Industrial Engineering, International Journal of Computer Integrated Manufacturing, Journal of Simulation, Technological Forecasting and Social Change and RePEc: Research Papers in Economics.
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.