Faridoon Khan

657 total citations
33 papers, 468 citations indexed

About

Faridoon Khan is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Faridoon Khan has authored 33 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 12 papers in Management Science and Operations Research and 12 papers in Economics and Econometrics. Recurrent topics in Faridoon Khan's work include Statistical Distribution Estimation and Applications (9 papers), Forecasting Techniques and Applications (8 papers) and Stock Market Forecasting Methods (6 papers). Faridoon Khan is often cited by papers focused on Statistical Distribution Estimation and Applications (9 papers), Forecasting Techniques and Applications (8 papers) and Stock Market Forecasting Methods (6 papers). Faridoon Khan collaborates with scholars based in Pakistan, Saudi Arabia and Egypt. Faridoon Khan's co-authors include Zubair Ahmad, Huda M. Alshanbari, Farman Ullah Khan, Abd Al-Aziz Hosni El-Bagoury, Zahra Almaspoor, Hasnain Iftikhar, Muhammad Haroon Shah, Alam Rehman, Irfan Ullah and Mahmoud El-Morshedy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Energy Economics.

In The Last Decade

Faridoon Khan

33 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Faridoon Khan Pakistan	14	143	129	88	87	51	33	468
Graciela González–Farías Mexico	12	340 2.4×	330 2.6×	96 1.1×	112 1.3×	53 1.0×	44	878
Mohamed R. Abonazel Egypt	16	173 1.2×	478 3.7×	213 2.4×	62 0.7×	17 0.3×	90	853
Gonzalo García‐Donato Spain	12	96 0.7×	263 2.0×	95 1.1×	76 0.9×	32 0.6×	25	604
Guglielmo D’Amico Italy	17	191 1.3×	56 0.4×	74 0.8×	137 1.6×	21 0.4×	122	955
Yarema Okhrin Germany	15	303 2.1×	158 1.2×	52 0.6×	231 2.7×	36 0.7×	53	830
Xuan Huang China	16	536 3.7×	39 0.3×	62 0.7×	125 1.4×	139 2.7×	33	806
Kayode Ayinde Nigeria	17	105 0.7×	497 3.9×	259 2.9×	59 0.7×	10 0.2×	71	760
Simon Peters United Kingdom	9	132 0.9×	28 0.2×	20 0.2×	65 0.7×	28 0.5×	23	388
Kyoung-Kuk Kim South Korea	10	94 0.7×	19 0.1×	33 0.4×	117 1.3×	20 0.4×	41	383

Countries citing papers authored by Faridoon Khan

Since Specialization

Citations

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

Fields of papers citing papers by Faridoon Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faridoon Khan. 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 Faridoon Khan. The network helps show where Faridoon Khan may publish in the future.

Co-authorship network of co-authors of Faridoon Khan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Khan, Faridoon, et al.. (2025). A Hybrid Vector Autoregressive Model for Accurate Macroeconomic Forecasting: An Application to the U.S. Economy. Mathematics. 13(11). 1706–1706. 3 indexed citations

Iftikhar, Hasnain, et al.. (2025). Forecasting of Inflation Based on Univariate and Multivariate Time Series Models: An Empirical Application. Mathematics. 13(7). 1121–1121. 6 indexed citations

Iftikhar, Hasnain, et al.. (2025). A novel hybrid framework for forecasting stock indices based on the nonlinear time series models. Computational Statistics. 40(8). 4163–4186. 8 indexed citations

Khan, Saud, et al.. (2024). A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models. Environmental Science and Pollution Research. 31(23). 33495–33514. 9 indexed citations

Alshanbari, Huda M., et al.. (2024). A new family of distributions using a trigonometric function: Properties and applications in the healthcare sector. Heliyon. 10(9). e29861–e29861. 14 indexed citations

Khan, Farman Ullah, et al.. (2024). Does Oil Price Shock Drive Inflation? Evidence from G20 Countries. Journal of the Knowledge Economy. 16(1). 904–924. 5 indexed citations

Khan, Faridoon, et al.. (2023). The role of green energy stock market in forecasting China's crude oil market: An application of IIS approach and sparse regression models. Energy Economics. 130. 107269–107269. 22 indexed citations

Alshanbari, Huda M., et al.. (2023). A New Probability Distribution: Model, Theory and Analyzing the Recovery Time Data. Axioms. 12(5). 477–477. 16 indexed citations

Alshanbari, Huda M., et al.. (2023). On the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare Events. Diagnostics. 13(7). 1310–1310. 34 indexed citations

10.

Khan, Faridoon, et al.. (2023). A new modification of the flexible Weibull distribution based on power transformation: Monte Carlo simulation and applications. Heliyon. 9(6). e17238–e17238. 15 indexed citations

11.

Alshanbari, Huda M., et al.. (2023). A Novel Probabilistic Approach Based on Trigonometric Function: Model, Theory with Practical Applications. Symmetry. 15(8). 1528–1528. 25 indexed citations

12.

Khan, Farman Ullah, et al.. (2023). Forecasting returns volatility of cryptocurrency by applying various deep learning algorithms. SHILAP Revista de lepidopterología. 9(1). 15 indexed citations

13.

Farooq, Muhammad Adeel, et al.. (2023). Half logistic-truncated exponential distribution: Characteristics and applications. PLoS ONE. 18(11). e0285992–e0285992. 1 indexed citations

14.

Alshanbari, Huda M., Zubair Ahmad, Faridoon Khan, et al.. (2023). Univariate and multivariate analyses of the asset returns using new statistical models and penalized regression techniques. AIMS Mathematics. 8(8). 19477–19503. 4 indexed citations

15.

Khan, Faridoon, et al.. (2022). Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time‐Series Data. Complexity. 2022(1). 8 indexed citations

16.

Ahmad, Zubair, Zahra Almaspoor, Faridoon Khan, et al.. (2022). On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms. AIMS Mathematics. 7(10). 18031–18049. 13 indexed citations

17.

Khan, Farman Ullah, et al.. (2022). Revisiting the relationship between remittances and CO2 emissions by applying a novel dynamic simulated ARDL: empirical evidence from G-20 economies. Environmental Science and Pollution Research. 29(47). 71190–71207. 14 indexed citations

18.

Bantan, Rashad A. R., Zubair Ahmad, Faridoon Khan, et al.. (2022). Predictive modeling of the COVID-19 data using a new version of the flexible Weibull model and machine learning techniques. Mathematical Biosciences & Engineering. 20(2). 2847–2873. 13 indexed citations

19.

Ahmad, Sohaib, et al.. (2021). Estimation of finite population mean using dual auxiliary variable for non-response using simple random sampling. AIMS Mathematics. 7(3). 4592–4613. 20 indexed citations

20.

Ullah, Irfan, Alam Rehman, Farman Ullah Khan, Muhammad Haroon Shah, & Faridoon Khan. (2019). Nexus between trade, CO₂ emissions, renewable energy, and health expenditure in Pakistan. The International Journal of Health Planning and Management. 35(4). 818–831. 70 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.

Explore authors with similar magnitude of impact