Kobra Etminani
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Health Information Management top 5%
- Co-authors
- Mahmoud NaghibzadehEnayat RajabiMattias OhlssonMohammad RanjbarFereydoon KianfarMohammad KhalilzadehModjtaba RouhaniSławomir Nowaczyk
- Topics
- Machine Learning in Healthcare (12 papers)Topic Modeling (5 papers)Artificial Intelligence in Healthcare (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Medical Internet ResearchNeurocomputing
- Partner nations
- IranSwedenUnited States
In The Last Decade
Kobra Etminani
46 papers receiving 439 citations
Peers
Comparison fields: 5 of 105
- Information Systems 169
- Computer Networks and Communications 134
- Artificial Intelligence 129
- Hardware and Architecture 49
- Health Information Management 44
Countries citing papers authored by Kobra Etminani
This map shows the geographic impact of Kobra Etminani'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 Kobra Etminani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kobra Etminani more than expected).
Fields of papers citing papers by Kobra Etminani
This network shows the impact of papers produced by Kobra Etminani. 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 Kobra Etminani. The network helps show where Kobra Etminani may publish in the future.
Co-authorship network of co-authors of Kobra Etminani
This figure shows the co-authorship network connecting the top 25 collaborators of Kobra Etminani. A scholar is included among the top collaborators of Kobra Etminani 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 Kobra Etminani. Kobra Etminani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 25 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | A retrospective study on non melanoma skin cancer in Cancer Institute, Imam Khomeini Medical Center, Tehran, Iran | 1 |
| 14 | 11 | |
| 15 | 12 | |
| 16 | Identifying Factors Associated with Length of Hospital Stay Using Decision Tree | 1 |
| 17 | Factors Associated with Length of Hospital Stay: A Systematic Review | 4 |
| 18 | 3 | |
| 19 | 9 | |
| 20 | Web Usage Mining: User s Navigational Patterns Extraction from Web Logs Using Ant-based Clustering Method | 10 |
About Kobra Etminani
Kobra Etminani is a scholar working on Health Informatics, Health Information Management and Family Practice, having authored 53 papers that have together received 481 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Topic Modeling (5 papers) and Artificial Intelligence in Healthcare (5 papers). The work is most often cited by research in Health Informatics (23 citations), Health Information Management (44 citations) and Information Systems (169 citations). Kobra Etminani has collaborated with scholars based in Iran, Sweden and United States. Frequent co-authors include Mahmoud Naghibzadeh, Enayat Rajabi, Mattias Ohlsson, Mohammad Ranjbar, Fereydoon Kianfar, Mohammad Khalilzadeh, Modjtaba Rouhani, Sławomir Nowaczyk, Amira Soliman and Anita Sant’Anna. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Neurocomputing.
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.