Faridoon Khan

33 papers receiving 486 citations

Peers

Faridoon Khan
Comparison fields: 5 of 79
  • Statistics and Probability 131
  • Statistics, Probability and Uncertainty 84
  • Management Science and Operations Research 81
  • Economics and Econometrics 147
  • Health Information Management 23
Replace Abd Al-Aziz Hosni El-Bagoury with:
Abd Al-Aziz Hosni El-Bagoury Egypt
Heri Kuswanto Indonesia
Yeliz Mert Kantar Türkiye
Guglielmo D’Amico Italy
Carolina Marchant Chile
Kayode Ayinde Nigeria
Aleksey Min Germany
R. Campo United States
Manuel Escabias Spain
Faridoon Khan relative to Abd Al-Aziz Hosni El-Bagoury Egypt Abd Al-Aziz Hosni El-Bagoury's profile →
Citations per field
00.5×4.5×
Abd Al-Aziz Hosni El-Bagoury · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 202345
3 202337
4 202231
5 202326
6 202324
7 202123
8 202122
9 202317
10 202316
11 202316
12 202216
13 202214
14 202414
15 202213
16 202411
17 202211
18 202410
19 202510
20 20219

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 34 papers that have together received 497 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), Flood Risk Assessment and Management (3 papers), COVID-19 epidemiological studies (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Statistics and Probability (131 citations), Statistics, Probability and Uncertainty (84 citations), Management Science and Operations Research (81 citations), Economics and Econometrics (147 citations) and Health Information Management (23 citations). Faridoon Khan has collaborated with scholars based in Pakistan, Saudi Arabia and Egypt. Frequent co-authors include Huda M. Alshanbari, Zubair Ahmad, Farman Ullah Khan, Abd Al-Aziz Hosni El-Bagoury, Hasnain Iftikhar, Zahra Almaspoor, Muhammad Haroon Shah, Zubair Ahmad, Alam Rehman and Irfan Ullah. Their work appears in journals such as Complexity, Mathematical Biosciences & Engineering, Alexandria Engineering Journal, Environmental Science and Pollution Research 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.

Explore authors with similar magnitude of impact