Adiqa Kausar Kiani
- Modeling and Simulation top 2%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Biomedical Engineering
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Muhammad Asif Zahoor RajaMuhammad ShoaibNabeela AnwarIftikhar AhmadHafiz Muhammad Abubakar SiddiqueNaveed Ishtiaq ChaudharyYasemin KuşluAneela Zameer
- Topics
- Neural Networks and Applications (11 papers)Fiscal Policy and Economic Growth (11 papers)Mathematical and Theoretical Epidemiology and Ecology Models (11 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsGeneral Agricultural and Biological Sciences
- Journals
- SHILAP Revista de lepidopterologíaWater ResearchSustainability
In The Last Decade
Adiqa Kausar Kiani
89 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 144
- Modeling and Simulation 190
- Artificial Intelligence 174
- Economics and Econometrics 123
- Biomedical Engineering 120
- Statistical and Nonlinear Physics 113
Countries citing papers authored by Adiqa Kausar Kiani
This map shows the geographic impact of Adiqa Kausar Kiani'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 Adiqa Kausar Kiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adiqa Kausar Kiani more than expected).
Fields of papers citing papers by Adiqa Kausar Kiani
This network shows the impact of papers produced by Adiqa Kausar Kiani. 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 Adiqa Kausar Kiani. The network helps show where Adiqa Kausar Kiani may publish in the future.
Co-authorship network of co-authors of Adiqa Kausar Kiani
This figure shows the co-authorship network connecting the top 25 collaborators of Adiqa Kausar Kiani. A scholar is included among the top collaborators of Adiqa Kausar Kiani 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 Adiqa Kausar Kiani. Adiqa Kausar Kiani 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 | 3 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 25 | |
| 18 | 21 | |
| 19 | 48 | |
| 20 | 30 |
About Adiqa Kausar Kiani
Adiqa Kausar Kiani is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Fiscal Policy and Economic Growth (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (11 papers). The work is most often cited by research in Modeling and Simulation (190 citations), Statistical and Nonlinear Physics (113 citations) and General Agricultural and Biological Sciences (63 citations). Adiqa Kausar Kiani has collaborated with scholars based in Pakistan, Taiwan and China. Frequent co-authors include Muhammad Asif Zahoor Raja, Muhammad Shoaib, Nabeela Anwar, Iftikhar Ahmad, Hafiz Muhammad Abubakar Siddique, Naveed Ishtiaq Chaudhary, Yasemin Kuşlu, Aneela Zameer, Shafaq Naz and Chi‐Min Shu. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Research and Sustainability.
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.