Mehdi Khashei

972 citations
19 papers · 755 indexed · h-index 11

Mehdi Khashei

18 papers receiving 713 citations

Peers

Mehdi Khashei
Comparison fields: 5 of 94
  • Management Science and Operations Research 448
  • Signal Processing 78
  • Environmental Engineering 83
  • Electrical and Electronic Engineering 320
  • Economics and Econometrics 154
Replace Devon K. Barrow with:
Devon K. Barrow United Kingdom
Tao Xiong China
Chih-Sheng Lin Taiwan
C. Narendra Babu India
Ratnadip Adhikari India
Paulo S. G. de Mattos Neto Brazil
Wenjie Lu China
Zahra Hajirahimi Iran
Sajid Ali Pakistan
Pei Du China
Mehdi Khashei relative to Devon K. Barrow United Kingdom Devon K. Barrow's profile →
Citations per field
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Devon K. Barrow · 1×
Citations per year

Countries citing papers authored by Mehdi Khashei

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Khashei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Mehdi Khashei, 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 Mehdi Khashei Line = papers co-authored together Mehdi Khashei links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20207
2 20201
3 20197
4 201959
5 201872
6 201833
7
An Enhanced Neural-based Bi-Component Hybrid Model for Foreign Exchange Rate Forecasting
20170
8 201734
9 20154
10 201434
11 201324
12
Exchange rate forecasting better with hybrid artificial neural networks models
20128
13 201276
14 201231
15 201276
16 20117
17
A hybrid computational intelligence model for foreign exchange rate forecasting
20112
18 201140
19 2008240

About Mehdi Khashei

Mehdi Khashei is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering, having authored 19 papers that have together received 755 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (18 papers), Forecasting Techniques and Applications (14 papers), Energy Load and Power Forecasting (9 papers), Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (1 paper), Grey System Theory Applications (1 paper), Fuzzy Systems and Optimization (1 paper) and Optimization and Mathematical Programming (1 paper). The work is most often cited by research in Management Science and Operations Research (448 citations), Signal Processing (78 citations) and Environmental Engineering (83 citations). Mehdi Khashei has collaborated with scholars based in Iran, Canada and United Kingdom. Frequent co-authors include Mehdi Bijari, Gholam Ali Raissi Ardali, Zahra Hajirahimi, Seyed Reza Hejazi, Hossein Khosroshahi, Ali Emrouznejad, Reza Mahmoudi, Farimah Mokhatab Rafiei, İ.B. Türkşen and Ufuk Yolcu. Their work appears in journals such as Journal of Cleaner Production, Neurocomputing and Applied Soft Computing.

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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