Adel T. Abbas

2.1k total citations
75 papers, 1.6k citations indexed

About

Adel T. Abbas is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Adel T. Abbas has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Mechanical Engineering, 34 papers in Electrical and Electronic Engineering and 19 papers in Industrial and Manufacturing Engineering. Recurrent topics in Adel T. Abbas's work include Advanced machining processes and optimization (42 papers), Advanced Machining and Optimization Techniques (34 papers) and Manufacturing Process and Optimization (15 papers). Adel T. Abbas is often cited by papers focused on Advanced machining processes and optimization (42 papers), Advanced Machining and Optimization Techniques (34 papers) and Manufacturing Process and Optimization (15 papers). Adel T. Abbas collaborates with scholars based in Saudi Arabia, Egypt and Germany. Adel T. Abbas's co-authors include Mahmoud S. Soliman, Danil Yurievich Pimenov, Magdy M. El Rayes, Eusebio Valero, Javier de Vicente, И. Н. Ердаков, Monis Luqman, Hussien Hegab, Mohamed F. Aly and Mohamed A. Taha and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Materials Science and Engineering A.

In The Last Decade

Adel T. Abbas

74 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adel T. Abbas Saudi Arabia 22 1.0k 580 345 327 262 75 1.6k
Róbert Čep Czechia 22 1.0k 1.0× 360 0.6× 292 0.8× 307 0.9× 87 0.3× 224 1.8k
Binayak Bhandari South Korea 22 490 0.5× 671 1.2× 212 0.6× 435 1.3× 148 0.6× 40 2.0k
Choon-Man Lee South Korea 30 2.2k 2.1× 1.0k 1.8× 312 0.9× 819 2.5× 111 0.4× 180 2.7k
J. Barreiro Spain 22 1.4k 1.3× 430 0.7× 420 1.2× 358 1.1× 51 0.2× 81 1.7k
Victor Songméné Canada 27 2.1k 2.1× 1.0k 1.8× 419 1.2× 863 2.6× 256 1.0× 182 2.5k
Nikolaos M. Vaxevanidis Greece 26 1.4k 1.3× 558 1.0× 538 1.6× 590 1.8× 77 0.3× 106 2.1k
Suresh Perinpanayagam United Kingdom 21 942 0.9× 561 1.0× 297 0.9× 324 1.0× 84 0.3× 107 2.1k
L. Karunamoorthy India 25 2.1k 2.0× 1.1k 1.9× 293 0.8× 811 2.5× 211 0.8× 73 2.5k
Abhay Sharma India 23 1.6k 1.5× 312 0.5× 186 0.5× 144 0.4× 148 0.6× 112 1.9k
Kumar Abhishek India 24 1.3k 1.2× 766 1.3× 213 0.6× 504 1.5× 66 0.3× 104 1.7k

Countries citing papers authored by Adel T. Abbas

Since Specialization
Citations

This map shows the geographic impact of Adel T. Abbas'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 Adel T. Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adel T. Abbas more than expected).

Fields of papers citing papers by Adel T. Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adel T. Abbas. 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 Adel T. Abbas. The network helps show where Adel T. Abbas may publish in the future.

Co-authorship network of co-authors of Adel T. Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Adel T. Abbas. A scholar is included among the top collaborators of Adel T. Abbas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adel T. Abbas. Adel T. Abbas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rayes, Magdy M. El, Adel T. Abbas, Abdulhamid Al-Abduljabbar, et al.. (2023). Investigation and Statistical Analysis for Optimizing Surface Roughness, Cutting Forces, Temperature, and Productivity in Turning Grey Cast Iron. Metals. 13(6). 1098–1098. 2 indexed citations
2.
Abbas, Adel T., et al.. (2023). Multi-Objective Optimization of AISI P20 Mold Steel Machining in Dry Conditions Using Machine Learning—TOPSIS Approach. Machines. 11(7). 748–748. 9 indexed citations
3.
Abbas, Adel T., Neeraj Sharma, Mahmoud S. Soliman, et al.. (2023). Effect of Wiper Edge Geometry on Machining Performance While Turning AISI 1045 Steel in Dry Conditions Using the VIKOR-ML Approach. Machines. 11(7). 719–719. 5 indexed citations
4.
Abbas, Adel T., et al.. (2023). A Machine Learning Perspective to the Investigation of Surface Integrity of Al/SiC/Gr Composite on EDM. Journal of Manufacturing and Materials Processing. 7(5). 163–163. 10 indexed citations
5.
Abbas, Adel T., et al.. (2023). Effect of Milling Strategy on the Surface Quality of AISI P20 Mold Steel. Metals. 14(1). 48–48. 4 indexed citations
6.
7.
Abbas, Adel T., et al.. (2021). Fundamental Investigation into Tool Wear and Surface Quality in High-Speed Machining of Ti6Al4V Alloy. Materials. 14(23). 7128–7128. 15 indexed citations
8.
9.
Abbas, Adel T., Neeraj Sharma, Saqib Anwar, et al.. (2020). Multi-Response Optimization in High-Speed Machining of Ti-6Al-4V Using TOPSIS-Fuzzy Integrated Approach. Materials. 13(5). 1104–1104. 29 indexed citations
10.
Abubakr, Mohamed, Adel T. Abbas, Ítalo Tomaz, et al.. (2020). Sustainable and Smart Manufacturing: An Integrated Approach. Sustainability. 12(6). 2280–2280. 126 indexed citations
11.
Abbas, Adel T., Mohamed Abubakr, Muhammed A. Hassan, et al.. (2020). An adaptive design for cost, quality and productivity-oriented sustainable machining of stainless steel 316. Journal of Materials Research and Technology. 9(6). 14568–14581. 14 indexed citations
12.
Alharthi, Nabeel H., El‐Sayed M. Sherif, Mohamed A. Taha, et al.. (2020). Influence of Extrusion Temperature on the Corrosion Behavior in Sodium Chloride Solution of Solid State Recycled Aluminum Alloy 6061 Chips. Crystals. 10(5). 353–353. 2 indexed citations
13.
14.
Abbas, Adel T., et al.. (2020). Towards an Adaptive Design of Quality, Productivity and Economic Aspects When Machining AISI 4340 Steel With Wiper Inserts. IEEE Access. 8. 159206–159219. 14 indexed citations
15.
Rayes, Magdy M. El, et al.. (2019). Effect of Feed Rate in FSW on the Mechanical and Microstructural Properties of AA5754 Joints. Advances in Materials Science and Engineering. 2019. 1–12. 47 indexed citations
16.
Abbas, Adel T., Danil Yurievich Pimenov, И. Н. Ердаков, et al.. (2019). Optimization of cutting conditions using artificial neural networks and the Edgeworth-Pareto method for CNC face-milling operations on high-strength grade-H steel. The International Journal of Advanced Manufacturing Technology. 105(5-6). 2151–2165. 51 indexed citations
17.
Alharthi, Nabeel H., et al.. (2018). Prediction of Cutting Conditions in Turning AZ61 and Parameters Optimization Using Regression Analysis and Artificial Neural Network. Advances in Materials Science and Engineering. 2018(1). 18 indexed citations
18.
19.
Abbas, Adel T., Mohanad Alata, Adham E. Ragab, Magdy M. El Rayes, & Ehab A. El‐Danaf. (2017). Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS. Advances in Materials Science and Engineering. 2017. 1–12. 9 indexed citations
20.
Alharthi, Nabeel H., et al.. (2017). Optimizing Cutting Conditions and Prediction of Surface Roughness in Face Milling of AZ61 Using Regression Analysis and Artificial Neural Network. Advances in Materials Science and Engineering. 2017. 1–8. 26 indexed citations

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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