Farhat Iqbal

850 total citations
54 papers, 627 citations indexed

About

Farhat Iqbal is a scholar working on Finance, Genetics and Economics and Econometrics. According to data from OpenAlex, Farhat Iqbal has authored 54 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 10 papers in Genetics and 10 papers in Economics and Econometrics. Recurrent topics in Farhat Iqbal's work include Financial Risk and Volatility Modeling (12 papers), Genetic and phenotypic traits in livestock (10 papers) and Market Dynamics and Volatility (10 papers). Farhat Iqbal is often cited by papers focused on Financial Risk and Volatility Modeling (12 papers), Genetic and phenotypic traits in livestock (10 papers) and Market Dynamics and Volatility (10 papers). Farhat Iqbal collaborates with scholars based in Pakistan, Saudi Arabia and Austria. Farhat Iqbal's co-authors include Amir Waseem, Jahan Zaib Arshad, Zahid Mehmood, Ashif Sajjad, Ghulam Murtaza, Abdul Waheed, Sohail Chand, Ecevit Eyduran, K. Mukherjee and Abdul Raziq and has published in prestigious journals such as SHILAP Revista de lepidopterología, BioMed Research International and Journal of Physics and Chemistry of Solids.

In The Last Decade

Farhat Iqbal

51 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farhat Iqbal Pakistan	10	154	128	105	97	88	54	627
Jianfeng Zhang China	16	170 1.1×	24 0.2×	125 1.2×	32 0.3×	48 0.5×	56	746
Liyu Yang China	15	188 1.2×	107 0.8×	23 0.2×	132 1.4×	72 0.8×	41	709
Umair Riaz Pakistan	16	166 1.1×	44 0.3×	76 0.7×	40 0.4×	56 0.6×	71	658
Yuquan W. Zhang China	15	22 0.1×	28 0.2×	44 0.4×	22 0.2×	16 0.2×	39	657
John E. Watson United States	18	412 2.7×	11 0.1×	165 1.6×	11 0.1×	153 1.7×	52	960
Tanveer Ahmed Pakistan	16	89 0.6×	28 0.2×	72 0.7×	122 1.3×	232 2.6×	56	820
Jiawei Zhang China	17	147 1.0×	21 0.2×	67 0.6×	19 0.2×	186 2.1×	69	880
D. Carboo Ghana	17	224 1.5×	26 0.2×	38 0.4×	14 0.1×	206 2.3×	37	768
Muhammad Bilal Pakistan	16	291 1.9×	10 0.1×	82 0.8×	26 0.3×	120 1.4×	54	821
Jabar Zaman Khan Khattak Pakistan	15	51 0.3×	32 0.3×	52 0.5×	13 0.1×	36 0.4×	35	647

Countries citing papers authored by Farhat Iqbal

Since Specialization

Citations

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

Fields of papers citing papers by Farhat Iqbal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhat Iqbal

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

All Works

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20 of 20 papers shown

Chand, Sohail, et al.. (2025). Novel Hybrid Approach for River Inflow Modeling: Case Study of the Indus River Basin, Pakistan. Journal of Hydrologic Engineering. 30(3). 1 indexed citations

Chand, Sohail, et al.. (2024). A novel hybrid framework to model the relationship of daily river discharge with meteorological variables. 1 indexed citations

Chand, Sohail, et al.. (2024). Hybrid Approach for Streamflow Prediction: LASSO-Hampel Filter Integration with Support Vector Machines, Artificial Neural Networks, and Autoregressive Distributed Lag Models. Water Resources Management. 38(11). 4179–4196. 2 indexed citations

Chand, Sohail, et al.. (2024). Novel hybrid and weighted ensemble models to predict river discharge series with outliers. Kuwait Journal of Science. 51(2). 100188–100188. 5 indexed citations

Chand, Sohail, et al.. (2023). A new ridge estimator for linear regression model with some challenging behavior of error term. Communications in Statistics - Simulation and Computation. 53(11). 5442–5452. 7 indexed citations

Chand, Sohail, et al.. (2023). Prediction of river inflow of the major tributaries of Indus river basin using hybrids of EEMD and LMD methods. Arabian Journal of Geosciences. 16(4). 8 indexed citations

Iqbal, Farhat, et al.. (2023). Using the artificial bee colony technique to optimize machine learning algorithms in estimating the mature weight of camels. Tropical Animal Health and Production. 55(2). 86–86. 8 indexed citations

Chand, Sohail, et al.. (2022). Bagging-based ridge estimators for a linear regression model with non-normal and heteroscedastic errors. Communications in Statistics - Simulation and Computation. 53(8). 3653–3667. 12 indexed citations

Chand, Sohail, et al.. (2021). A Novel Hybrid Method for River Discharge Prediction. Water Resources Management. 36(1). 253–272. 9 indexed citations

10.

Iqbal, Farhat, et al.. (2021). Modeling and predicting the growth of indigenous Harnai sheep in Pakistan: non-linear functions and MARS algorithm. Tropical Animal Health and Production. 53(2). 248–248. 9 indexed citations

11.

Iqbal, Farhat & Abdul Raziq. (2018). Crude oil price-exchange rate nexus in Pakistan. 1(2). 1 indexed citations

12.

Iqbal, Farhat. (2016). Forecasting Volatility and Value-at-Risk of Pakistan Stock Market with Markov Regime-Switching GARCH Models. European Online Journal of Natural and Social Sciences. 5(1). 172–189. 2 indexed citations

13.

Masood, Zubia, et al.. (2015). Length-weight relationship, condition and relative condition parameters of Mugilincilus (Mugilidae: Mugiliformes) collected from the River Indus of district Sukkur, Pakistan.. 7(1). 793–799. 1 indexed citations

14.

Masood, Zubia, et al.. (2015). Length-weight relationship, condition and relative condition parameters of silver Pomfret, Pampus argenteus collected from Quetta city of Pakistan.. Global Veterinaria. 14(6). 879–882. 1 indexed citations

15.

Iqbal, Farhat, et al.. (2015). Study of some morphometric and meristic characters of a parassi mullet, Mugil incilis (Mugilidae: Mugiliformes) from the Indus River at Sukkur district of province Sindh, Pakistan.. 7(1). 767–772. 1 indexed citations

16.

Ilyas, Muhammad, et al.. (2015). Assessment study on the diversity of cyprinid species found in Zebi Dam of Karak District, Khyber Pakhtunkwa province of Pakistan.. Global Veterinaria. 14(5). 675–678. 1 indexed citations

17.

Iqbal, Farhat, et al.. (2015). Comparative analysis of physicochemical parameters of water from the streams of Karak and Kohat districts of Pakistan for their impact on growth and breeding season of fishes.. Global Veterinaria. 14(5). 742–746. 1 indexed citations

18.

Tariq, Mohammad Masood, et al.. (2013). Comparison of non-linear functions to describe the growth in Mengali sheep breed of Balochistan.. Pakistan Journal of Zoology. 45(3). 661–665. 34 indexed citations

19.

Eyduran, Ecevit, et al.. (2013). Prediction of live weight from morphological characteristics of commercial goat in Pakistan using factor and principal component scores in multiple linear regression.. The Journal of Animal and Plant Sciences. 23(6). 1532–1540. 20 indexed citations

20.

Eyduran, Ecevit, et al.. (2012). Prediction of body weight from testicular and morphological characteristics in indigenous Mengali sheep of Pakistan using factor analysis scores in multiple linear regression analysis.. International Journal of Agriculture and Biology. 14(4). 590–594. 23 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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