Muhammad Kashif
- Strategy and Management
- Artificial Intelligence
- Economics and Econometrics
- Sociology and Political Science
- Marketing
- Co-authors
- Muzaffar AsadMuhammad AsifMuhammad Abrar ul haqUmaid A. SheikhAnjum SaeedSana UllahAhsan AliHammad Ali
- Topics
- COVID-19 Pandemic Impacts (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)Speech and Audio Processing (2 papers)
- Cited by
- Business and International ManagementModeling and SimulationRadiological and Ultrasound Technology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECarbohydrate Polymers
- Partner nations
- PakistanSaudi ArabiaBahrain
In The Last Decade
Muhammad Kashif
27 papers receiving 274 citations
Peers
Comparison fields: 5 of 105
- Strategy and Management 49
- Artificial Intelligence 49
- Economics and Econometrics 35
- Sociology and Political Science 30
- Marketing 27
Countries citing papers authored by Muhammad Kashif
This map shows the geographic impact of Muhammad Kashif'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 Muhammad Kashif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Kashif more than expected).
Fields of papers citing papers by Muhammad Kashif
This network shows the impact of papers produced by Muhammad Kashif. 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 Muhammad Kashif. The network helps show where Muhammad Kashif may publish in the future.
Co-authorship network of co-authors of Muhammad Kashif
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Kashif. A scholar is included among the top collaborators of Muhammad Kashif 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 Muhammad Kashif. Muhammad Kashif 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 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | The role of the physiotherapist in a pandemic situation: a covid-19 outbreak perspective | 2 |
| 13 | 6 | |
| 14 | 52 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 15 | |
| 18 | The association of factor V leiden mutation with recurrent pregnancy loss. | 11 |
| 19 | Knowledge Management and Sharing Within Project Teams: A qualitative Study of Ericsson | 5 |
| 20 | Sustainability & Consumer behavior towards Sustainability in Norway and Sweden | 1 |
About Muhammad Kashif
Muhammad Kashif is a scholar working on Business and International Management, Bioengineering and Modeling and Simulation, having authored 32 papers that have together received 287 indexed citations. Recurring topics across this work include COVID-19 Pandemic Impacts (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Business and International Management (18 citations), Modeling and Simulation (22 citations) and Radiological and Ultrasound Technology (20 citations). Muhammad Kashif has collaborated with scholars based in Pakistan, Saudi Arabia and Bahrain. Frequent co-authors include Muzaffar Asad, Muhammad Asif, Muhammad Abrar ul haq, Umaid A. Sheikh, Anjum Saeed, Sana Ullah, Ahsan Ali, Hammad Ali, Kevin Kelly and Abdul Waris. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Carbohydrate Polymers.
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.