Jafar Habibi
- Artificial Intelligence top 10%
- Health Information Management top 1%
- Information Systems top 10%
- Cardiology and Cardiovascular Medicine
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Roohallah AlizadehsaniHoda MashayekhiReihane BoghratiAsma GhandehariounMohammad Hossein ZangooeiBehdad BahadorianReza VaziriMehran Mohsenzadeh
- Topics
- Complex Network Analysis Techniques (5 papers)Artificial Intelligence in Healthcare (5 papers)Opinion Dynamics and Social Influence (5 papers)
- Partner nations
- IranUnited States
In The Last Decade
Jafar Habibi
23 papers receiving 286 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 135
- Health Information Management 113
- Information Systems 70
- Cardiology and Cardiovascular Medicine 43
- Statistical and Nonlinear Physics 42
Countries citing papers authored by Jafar Habibi
This map shows the geographic impact of Jafar Habibi'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 Jafar Habibi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jafar Habibi more than expected).
Fields of papers citing papers by Jafar Habibi
This network shows the impact of papers produced by Jafar Habibi. 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 Jafar Habibi. The network helps show where Jafar Habibi may publish in the future.
Co-authorship network of co-authors of Jafar Habibi
This figure shows the co-authorship network connecting the top 25 collaborators of Jafar Habibi. A scholar is included among the top collaborators of Jafar Habibi 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 Jafar Habibi. Jafar Habibi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 17 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | Quantification and Comparison of Network Degree Distributions. | 0 |
| 12 | 52 | |
| 13 | 22 | |
| 14 | 28 | |
| 15 | Diagnosis of coronary arteries stenosis using data mining. | 21 |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 1 |
About Jafar Habibi
Jafar Habibi is a scholar working on Health Information Management, Medical Laboratory Technology and Management Information Systems, having authored 25 papers that have together received 310 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Artificial Intelligence in Healthcare (5 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Health Information Management (113 citations), Medical Laboratory Technology (7 citations) and Artificial Intelligence (135 citations). Jafar Habibi has collaborated with scholars based in Iran and United States. Frequent co-authors include Roohallah Alizadehsani, Hoda Mashayekhi, Reihane Boghrati, Asma Ghandeharioun, Mohammad Hossein Zangooei, Behdad Bahadorian, Reza Vaziri, Mehran Mohsenzadeh, Ali Movaghar and Fahime Khozeimeh. Their work appears in journals such as PLoS ONE, Neurocomputing and Physica A Statistical Mechanics and its 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.