El-Sayed A. Abo-Tabl

26 papers receiving 366 citations

Peers

El-Sayed A. Abo-Tabl
Comparison fields: 5 of 25
  • Computational Theory and Mathematics 321
  • Management Science and Operations Research 207
  • Information Systems 69
  • Artificial Intelligence 65
  • Signal Processing 21
Replace A.M. Kozae with:
A.M. Kozae Egypt
Mostafa K. El-Bably Egypt
Michiro Kondo Japan
Abd El Fattah El Atik Egypt
Xiaoli He China
Qiu Jin China
Radwan Abu-Gdairi Jordan
Luoshan Xu China
Jozef Pócs Slovakia
Lynn D’eer Belgium
El-Sayed A. Abo-Tabl relative to A.M. Kozae Egypt A.M. Kozae's profile →
Citations per field
00.5×3.5×
A.M. Kozae · 1×
Citations per year

Countries citing papers authored by El-Sayed A. Abo-Tabl

Since Specialization
Citations

This map shows the geographic impact of El-Sayed A. Abo-Tabl'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 El-Sayed A. Abo-Tabl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites El-Sayed A. Abo-Tabl more than expected).

Fields of papers citing papers by El-Sayed A. Abo-Tabl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by El-Sayed A. Abo-Tabl. 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 El-Sayed A. Abo-Tabl. The network helps show where El-Sayed A. Abo-Tabl may publish in the future.

Co-authors

The 8 scholars most cited alongside El-Sayed A. Abo-Tabl, 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 El-Sayed A. Abo-Tabl Line = papers co-authored together El-Sayed A. Abo-Tabl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201175
2 201243
3 202139
4 202131
5
Some methods for generating topologies by relations.
200829
6 202121
7 202118
8
NEW APPROACH FOR CLOSURE SPACES BY RELATIONS
200617
9 202114
10 202114
11 201413
12 202211
13 20228
14 20136
15 20206
16 20205
17 20135
18 20204
19 20234
20 20223

About El-Sayed A. Abo-Tabl

El-Sayed A. Abo-Tabl is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Computer Vision and Pattern Recognition, Geometry and Topology and Artificial Intelligence, having authored 27 papers that have together received 378 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (17 papers), Fuzzy and Soft Set Theory (15 papers), Advanced Algebra and Logic (7 papers), Multi-Criteria Decision Making (6 papers), Fixed Point Theorems Analysis (3 papers), Digital Image Processing Techniques (3 papers), Natural Language Processing Techniques (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (321 citations), Management Science and Operations Research (207 citations), Information Systems (69 citations), Artificial Intelligence (65 citations) and Signal Processing (21 citations). El-Sayed A. Abo-Tabl has collaborated with scholars based in Egypt, Saudi Arabia and Yemen. Frequent co-authors include Tareq M. Al-shami, Mostafa K. El-Bably, Muhammad İrfan Ali, Malaysian Mathematical, Baravan A. Asaad, Muhammad Shabir, A. A. Azzam and Qin Xin. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Soft Computing, Information Sciences, IEEE Access 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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