Javid Shabbir
- Statistics and Probability top 0.1%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Epidemiology
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Sat GuptaFariha SohilAbdul HaqSohaib AhmadZawar HussainSushil K. GuptaR DawsonAlamgir Khalil
- Topics
- Survey Sampling and Estimation Techniques (207 papers)Statistical Methods and Bayesian Inference (56 papers)Statistical Distribution Estimation and Applications (46 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PakistanUnited StatesSaudi Arabia
In The Last Decade
Javid Shabbir
216 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Statistics and Probability 2.0k
- Artificial Intelligence 340
- Sociology and Political Science 164
- Epidemiology 162
- Statistics, Probability and Uncertainty 108
Countries citing papers authored by Javid Shabbir
This map shows the geographic impact of Javid Shabbir'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 Javid Shabbir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javid Shabbir more than expected).
Fields of papers citing papers by Javid Shabbir
This network shows the impact of papers produced by Javid Shabbir. 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 Javid Shabbir. The network helps show where Javid Shabbir may publish in the future.
Co-authorship network of co-authors of Javid Shabbir
This figure shows the co-authorship network connecting the top 25 collaborators of Javid Shabbir. A scholar is included among the top collaborators of Javid Shabbir 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 Javid Shabbir. Javid Shabbir 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 | 2 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 22 | |
| 8 | 16 | |
| 9 | An alternative item sum technique for improved estimators of population mean in sensitive surveys | 0 |
| 10 | Estimators for Population Mean in Adaptive Cluster Sampling | 2 |
| 11 | Estimation of the Finite Population Mean, using Median based Estimators in Stratified Random Sampling | 1 |
| 12 | 3 | |
| 13 | 1 | |
| 14 | An Alternative Item Count Technique in Sensitive Surveys | 6 |
| 15 | On Item Count Technique in Survey Sampling | 2 |
| 16 | A family of ratio estimators for population mean in extreme ranked set sampling using two auxiliary variables | 7 |
| 17 | 15 | |
| 18 | 5 | |
| 19 | 63 | |
| 20 | 5 |
About Javid Shabbir
Javid Shabbir is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 240 papers that have together received 3.0k indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (207 papers), Statistical Methods and Bayesian Inference (56 papers) and Statistical Distribution Estimation and Applications (46 papers). The work is most often cited by research in Statistics and Probability (2.0k citations), Statistics, Probability and Uncertainty (108 citations) and Artificial Intelligence (340 citations). Javid Shabbir has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Sat Gupta, Fariha Sohil, Abdul Haq, Sohaib Ahmad, Zawar Hussain, Sushil K. Gupta, R Dawson, Alamgir Khalil, Muhammad Aamir and Bal Kishan Dass. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.