Sajjad Haider Bhatti

476 total citations
26 papers, 311 citations indexed

About

Sajjad Haider Bhatti is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance. According to data from OpenAlex, Sajjad Haider Bhatti has authored 26 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 4 papers in Statistics, Probability and Uncertainty and 2 papers in Finance. Recurrent topics in Sajjad Haider Bhatti's work include Advanced Statistical Methods and Models (8 papers), Statistical Distribution Estimation and Applications (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Sajjad Haider Bhatti is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Statistical Distribution Estimation and Applications (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Sajjad Haider Bhatti collaborates with scholars based in Pakistan, Saudi Arabia and France. Sajjad Haider Bhatti's co-authors include Muhammad Ali Raza, Tanvir Ahmad, Muhammad Aftab, Muhammad Aslam, Rajendra K. Srivastava, Muhammad Aslam, Zahra Noreen, Mahmood Ul Hassan, Ijaz Hussain and Muhammad Ishaq Asif Rehmani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sustainability.

In The Last Decade

Sajjad Haider Bhatti

24 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sajjad Haider Bhatti Pakistan 9 72 67 64 40 39 26 311
Atila Göktaş Türkiye 9 48 0.7× 10 0.1× 31 0.5× 23 0.6× 16 0.4× 22 324
Faridoon Khan Pakistan 14 129 1.8× 21 0.3× 32 0.5× 88 2.2× 30 0.8× 33 468
Miguel de Carvalho United Kingdom 11 122 1.7× 4 0.1× 86 1.3× 17 0.4× 41 1.1× 43 349
Dulal Chandra Roy Bangladesh 9 12 0.2× 61 0.9× 50 0.8× 76 1.9× 19 293
Samuel E. Buttrey United States 13 18 0.3× 10 0.1× 66 1.0× 80 2.0× 21 0.5× 32 387
S. F. Buck United States 6 118 1.6× 5 0.1× 47 0.7× 18 0.5× 5 0.1× 10 326
Dennis Gilliland United States 14 108 1.5× 4 0.1× 61 1.0× 32 0.8× 4 0.1× 56 511
Henrique Vicente Portugal 9 7 0.1× 35 0.5× 69 1.1× 3 0.1× 5 0.1× 48 239
Shane R. Reti United States 8 26 0.4× 49 0.7× 107 1.7× 3 0.1× 5 0.1× 18 260

Countries citing papers authored by Sajjad Haider Bhatti

Since Specialization
Citations

This map shows the geographic impact of Sajjad Haider Bhatti'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 Sajjad Haider Bhatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajjad Haider Bhatti more than expected).

Fields of papers citing papers by Sajjad Haider Bhatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajjad Haider Bhatti. 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 Sajjad Haider Bhatti. The network helps show where Sajjad Haider Bhatti may publish in the future.

Co-authorship network of co-authors of Sajjad Haider Bhatti

This figure shows the co-authorship network connecting the top 25 collaborators of Sajjad Haider Bhatti. A scholar is included among the top collaborators of Sajjad Haider Bhatti 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 Sajjad Haider Bhatti. Sajjad Haider Bhatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aftab, Muhammad, et al.. (2025). Hyper-parameter tuning through innovative designing to avoid over-fitting in machine learning modelling: a case study of small data sets. Journal of Statistical Computation and Simulation. 95(7). 1595–1609.
2.
Sattar, Abdul, et al.. (2025). Design and Implementation of an EWMA Control Chart for Zero‐Inflated Count Data in High‐Quality Processes. Quality and Reliability Engineering International. 41(5). 2164–2181. 1 indexed citations
3.
Bhatti, Sajjad Haider, et al.. (2024). Searching for the Most Suited Distributionand Estimation Method for At-Site Flood FrequencyAnalysis: A Case of the Chenab River. Polish Journal of Environmental Studies. 34(1). 29–42.
4.
Raza, Muhammad Ali, et al.. (2023). Mixed Exponentially Weighted Moving Average—Moving Average Control Chart with Application to Combined Cycle Power Plant. Sustainability. 15(4). 3239–3239. 5 indexed citations
5.
Shongwe, Sandile Charles, et al.. (2021). Estimation of Population Median under Robust Measures of an Auxiliary Variable. Mathematical Problems in Engineering. 2021. 1–14. 8 indexed citations
6.
Bhatti, Sajjad Haider, et al.. (2021). A Simulation-Based Study for Progressive Estimation of Population Mean through Traditional and Nontraditional Measures in Stratified Random Sampling. Journal of Mathematics. 2021. 1–16. 4 indexed citations
7.
Asim, Muhammad, Muhammad Aftab, Sajjad Haider Bhatti, et al.. (2021). Identifying factors causing decline in physical functionality of geriatric population. SHILAP Revista de lepidopterología. 19. 7 indexed citations
8.
Raza, Muhammad Ali, Muhammad Aslam, Muhammad Farooq, et al.. (2020). A New Nonparametric Composite Exponentially Weighted Moving Average Sign Control Chart. Scientia Iranica. 0(0). 0–0. 3 indexed citations
9.
Bhatti, Sajjad Haider, et al.. (2020). An effective approach towards efficient estimation of general linear model in case of heteroscedastic errors. Communications in Statistics - Simulation and Computation. 52(2). 392–403. 4 indexed citations
11.
Aslam, Muhammad, et al.. (2019). Establishing Growth Reference Charts for Head Circumference of the Pakistani Children, Using the Lambda-Mu-Sigma (LMS) Statistical Method. Iranian Journal of Pediatrics. 29(3). 4 indexed citations
12.
Raza, Muhammad Ali, et al.. (2019). A new nonparametric double exponentially weighted moving average control chart. Quality and Reliability Engineering International. 36(1). 68–87. 27 indexed citations
13.
Bhatti, Sajjad Haider, et al.. (2018). Efficient estimation of Pareto model: Some modified percentile estimators. PLoS ONE. 13(5). e0196456–e0196456. 12 indexed citations
14.
Bhatti, Sajjad Haider, et al.. (2018). Market Returns to Education in Pakistan, Corrected for Endogeneity Bias. ˜The œLahore journal of economics. 23(1). 79–96. 2 indexed citations
15.
Bhatti, Sajjad Haider, et al.. (2018). Efficient estimation of Pareto model using modified maximum likelihood estimators. Scientia Iranica. 0(0). 0–0. 4 indexed citations
16.
Ahmad, Tanvir, et al.. (2017). Survival analysis of heart failure patients: A case study. PLoS ONE. 12(7). e0181001–e0181001. 115 indexed citations
17.
Hussain, Sabir, Farrukh Azeem, Tanvir Shahzad, et al.. (2016). Characterization of a salt resistant bacterial strain Proteus sp. NA6 capable of decolorizing reactive dyes in presence of multi-metal stress. World Journal of Microbiology and Biotechnology. 32(11). 181–181. 21 indexed citations
18.
Bhatti, Sajjad Haider, et al.. (2013). Economic Returns to Education in France: OLS and Instrumental Variable Estimations. ˜The œLahore journal of economics. 18(2). 51–63. 8 indexed citations
19.
Bhatti, Sajjad Haider, et al.. (2012). Generic Competences and Earnings for Health Graduates. 1 indexed citations
20.
Bhatti, Sajjad Haider & Rajendra K. Srivastava. (2003). Participation of working women in decision‐making process as consumer. International Journal of Consumer Studies. 27(3). 228–228. 14 indexed citations

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.

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