Ali Morfeq

42 papers receiving 925 citations

Peers

Ali Morfeq
Comparison fields: 5 of 86
  • Management Science and Operations Research 452
  • Computational Theory and Mathematics 354
  • Artificial Intelligence 489
  • Signal Processing 99
  • Statistics and Probability 68
Replace Abdullah Saeed Balamash with:
Abdullah Saeed Balamash Saudi Arabia
Mingli Song China
Jianhua Yang China
Władysław Homenda Poland
Yihua Chen China
Jiří Močkoř Czechia
Esfandiar Eslami Iran
Radim Jiroušek Czechia
Khaled Mellouli Tunisia
Masao Mukaidono Japan
Ali Morfeq relative to Abdullah Saeed Balamash Saudi Arabia Abdullah Saeed Balamash's profile →
Citations per field
00.5×1.7×
Abdullah Saeed 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 25 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015171
2 2015139
3 201996
4 201366
5 201951
6 201551
7 201342
8 201434
9 201430
10 201723
11 202021
12 201721
13
Decision Support System for Decision Making in Changeable and Multi-Granular Fuzzy Linguistic Contexts.
201618
14 201414
15 201914
16 201312
17 201411
18 201511
19 20199
20 20179

About Ali Morfeq

Ali Morfeq is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 937 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), Advanced Computational Techniques and Applications (5 papers), Time Series Analysis and Forecasting (5 papers), Neural Networks and Applications (4 papers), Advanced Power Amplifier Design (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Management Science and Operations Research (452 citations), Computational Theory and Mathematics (354 citations), Artificial Intelligence (489 citations), Signal Processing (99 citations) and Statistics and Probability (68 citations). Ali Morfeq has collaborated with scholars based in Saudi Arabia, Canada and Poland. Frequent co-authors include Rami Al‐Hmouz, Abdullah Saeed Balamash, Witold Pedrycz, Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Francisco Chiclana, Juan Antonio Morente-Molinera, María A. Martínez, Khaled O. Daqrouq and Xing Wu. Their work appears in journals such as Soft Computing, IEEE Transactions on Fuzzy Systems, Applied Soft Computing, Knowledge-Based Systems 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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