Faridoon Khan

657 citations
33 papers · 468 · h-index 14

Impact in

Papers in

Faridoon Khan

33 papers receiving 420 citations

Peers

Faridoon Khan
Comparison fields: 5 of 78
  • Statistics and Probability 129
  • Statistics, Probability and Uncertainty 88
  • Management Science and Operations Research 87
  • Economics and Econometrics 143
  • Health Information Management 21
Replace Mohamed R. Abonazel with:
Mohamed R. Abonazel Egypt
Gonzalo García‐Donato Spain
Rosângela H. Loschi Brazil
Guglielmo D’Amico Italy
Kayode Ayinde Nigeria
S. Ejaz Ahmed Canada
Abd Al-Aziz Hosni El-Bagoury Egypt
Carolina Marchant Chile
Graciela González–Farías Mexico
Adel Mohammadpour Iran
Faridoon Khan relative to Mohamed R. Abonazel Egypt Mohamed R. Abonazel's profile →
Citations per field
00.5×
Mohamed R. Abonazel · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Faridoon Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Faridoon Khan Line = papers co-authored together Faridoon Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201970
2 202339
3 202334
4 202231
5 202325
6 202123
7 202322
8 202120
9 202316
10 202315
11 202315
12 202414
13 202214
14 202213
15 202213
16 202211
17 20249
18 20219
19 20229
20 20228

About Faridoon Khan

Faridoon Khan is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Global and Planetary Change and General Economics, Econometrics and Finance, having authored 33 papers that have together received 468 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (9 papers), Forecasting Techniques and Applications (8 papers), Stock Market Forecasting Methods (6 papers), Market Dynamics and Volatility (6 papers), Hydrology and Drought Analysis (4 papers), Energy Load and Power Forecasting (3 papers), Energy, Environment, Economic Growth (3 papers) and Energy, Environment, and Transportation Policies (3 papers). The work is most often cited by research in Statistics and Probability (129 citations), Statistics, Probability and Uncertainty (88 citations), Management Science and Operations Research (87 citations), Economics and Econometrics (143 citations) and Health Information Management (21 citations). Faridoon Khan has collaborated with scholars based in Pakistan, Saudi Arabia and Egypt. Frequent co-authors include Zubair Ahmad, Huda M. Alshanbari, Farman Ullah Khan, Abd Al-Aziz Hosni El-Bagoury, Zahra Almaspoor, Hasnain Iftikhar, Alam Rehman, Irfan Ullah, Muhammad Haroon Shah and Mahmoud El-Morshedy. Their work appears in journals such as Complexity, Alexandria Engineering Journal, Environmental Science and Pollution Research, Mathematical Biosciences & Engineering and Heliyon.

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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