Sara Nasiri
- Neurology top 5%
- Mechanical Engineering top 10%
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 2%
- Automotive Engineering top 5%
- Co-authors
- Mohammad Reza KhosravaniKerstin WeinbergMadjid FathiHamid NematiAnahita JafariAli A. Asadi‐PooyaAmir EmamiAli Akbari
- Topics
- Manufacturing Process and Optimization (6 papers)COVID-19 Clinical Research Studies (5 papers)Long-Term Effects of COVID-19 (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBMC Bioinformatics
- Partner nations
- GermanyIranUnited States
In The Last Decade
Sara Nasiri
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 146
- Neurology 310
- Mechanical Engineering 303
- Biomedical Engineering 191
- Industrial and Manufacturing Engineering 163
- Automotive Engineering 162
Countries citing papers authored by Sara Nasiri
This map shows the geographic impact of Sara Nasiri'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 Sara Nasiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Nasiri more than expected).
Fields of papers citing papers by Sara Nasiri
This network shows the impact of papers produced by Sara Nasiri. 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 Sara Nasiri. The network helps show where Sara Nasiri may publish in the future.
Co-authorship network of co-authors of Sara Nasiri
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Nasiri. A scholar is included among the top collaborators of Sara Nasiri 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 Sara Nasiri. Sara Nasiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 108 | |
| 7 | 31 | |
| 8 | 134 | |
| 9 | 157 | |
| 10 | 37 | |
| 11 | 204 | |
| 12 | Dynamic knowledge assets management to interactive problem solving and sustained learning : a collaborative CBR system in chronic and palliative care | 1 |
| 13 | 142 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | Improving EHR and patient empowerment based on dynamic knowledge assets | 2 |
| 20 | A STUDY ON THE APPLICATION AND EFFICACY OF SOLVENT-DETERGENT(SID) TREATMENTIN THE PROCESS OF PURIFYING FACTOR VII FROM PROTHROMBIN COMPLEX | 5 |
About Sara Nasiri
Sara Nasiri is a scholar working on Issues, ethics and legal aspects, Industrial and Manufacturing Engineering and Critical Care and Intensive Care Medicine, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (6 papers), COVID-19 Clinical Research Studies (5 papers) and Long-Term Effects of COVID-19 (5 papers). The work is most often cited by research in Neurology (310 citations), Critical Care and Intensive Care Medicine (93 citations) and Industrial and Manufacturing Engineering (163 citations). Sara Nasiri has collaborated with scholars based in Germany, Iran and United States. Frequent co-authors include Mohammad Reza Khosravani, Kerstin Weinberg, Madjid Fathi, Hamid Nemati, Anahita Jafari, Ali A. Asadi‐Pooya, Amir Emami, Ali Akbari, Zahra Zeraatpisheh and Mahtab Rostamihosseinkhani. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Bioinformatics.
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.