Ali Morfeq

42 papers receiving 872 citations

Peers

Ali Morfeq
Comparison fields: 5 of 83
  • Management Science and Operations Research 435
  • Computational Theory and Mathematics 340
  • Artificial Intelligence 462
  • Signal Processing 90
  • Statistics and Probability 65
Replace Abdullah Balamash with:
Abdullah Balamash Saudi Arabia
Mingli Song China
Jianhua Yang China
Radim Jiroušek Czechia
Georg Peters Germany
Yihua Chen China
Jiří Močkoř Czechia
Masao Mukaidono Japan
Constantin Virgil Negoiţă United States
Khaled Mellouli Tunisia
Ali Morfeq relative to Abdullah Balamash Saudi Arabia Abdullah Balamash's profile →
Citations per field
00.5×1.7×
Abdullah Balamash · 1×
Citations per year

Countries citing papers authored by Ali Morfeq

Since Specialization
Citations

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

Fields of papers citing papers by Ali Morfeq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ali Morfeq, 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 Ali Morfeq Line = papers co-authored together Ali Morfeq links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015165
2 2015134
3 201992
4 201361
5 201550
6 201950
7 201339
8 201434
9 201429
10 201720
11 201720
12 202019
13 201914
14
Decision Support System for Decision Making in Changeable and Multi-Granular Fuzzy Linguistic Contexts.
201613
15 201412
16 201311
17 201510
18 201410
19 20178
20 20198

About Ali Morfeq

Ali Morfeq is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Management Science and Operations Research and Control and Systems Engineering, having authored 43 papers that have together received 886 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (21 papers), Fuzzy Logic and Control Systems (10 papers), Multi-Criteria Decision Making (8 papers), Time Series Analysis and Forecasting (5 papers), Advanced Computational Techniques and Applications (5 papers), Data Management and Algorithms (4 papers), Neural Networks and Applications (4 papers) and Advanced Power Amplifier Design (4 papers). The work is most often cited by research in Management Science and Operations Research (435 citations), Computational Theory and Mathematics (340 citations), Artificial Intelligence (462 citations), Signal Processing (90 citations) and Statistics and Probability (65 citations). Ali Morfeq has collaborated with scholars based in Saudi Arabia, Canada and Poland. Frequent co-authors include Rami Al‐Hmouz, Abdullah Balamash, Witold Pedrycz, Enrique Herrera‐Viedma, Francisco Javier Cabrerizo, Francisco Chiclana, María A. Martínez, Juan Antonio Morente-Molinera, Khaled Daqrouq and Xing Wu. Their work appears in journals such as Soft Computing, IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems, Applied Soft Computing and Journal of Intelligent & Fuzzy Systems.

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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