What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Composite material
His primary areas of investigation include Machining, Metallurgy, Alloy, Petri net and Engineering drawing.
His Machining research is classified as research in Mechanical engineering.
His Mechanical engineering research includes themes of Artificial neural network and Empirical modelling.
His work in Alloy covers topics such as Microstructure which are related to areas like Cooling rate and Mold.
Abdulrahman Al-Ahmari interconnects Disjoint sets, Deadlock and Integer programming in the investigation of issues within Petri net.
His Engineering drawing research incorporates themes from Inference engine, Expert system, Depth of cut and Prolog.
His most cited work include:
- Selection of cutting tools and conditions of machining operations using an expert system (115 citations)
- Predictive machinability models for a selected hard material in turning operations (93 citations)
- A joint optimisation model for inventory replenishment, product assortment, shelf space and display area allocation decisions (86 citations)
What are the main themes of his work throughout his whole career to date?
Petri net, Machining, Distributed computing, Mechanical engineering and Engineering drawing are his primary areas of study.
In Petri net, Abdulrahman Al-Ahmari works on issues like Deadlock, which are connected to Control.
The concepts of his Machining study are interwoven with issues in Composite material, Shape-memory alloy, Mathematical optimization and Laser.
Abdulrahman Al-Ahmari has researched Distributed computing in several fields, including Control system and Resource.
His Mechanical engineering research is multidisciplinary, incorporating perspectives in Surface roughness and Titanium alloy.
His work carried out in the field of Engineering drawing brings together such families of science as Feature recognition and Computer-aided process planning.
He most often published in these fields:
- Petri net (15.79%)
- Machining (13.36%)
- Distributed computing (11.74%)
What were the highlights of his more recent work (between 2017-2021)?
- Distributed computing (11.74%)
- Petri net (15.79%)
- Composite material (8.91%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Distributed computing, Petri net, Composite material, Mechanical engineering and Cathode ray.
His research integrates issues of Shared resource and Resource in his study of Distributed computing.
His work in the fields of Petri net, such as Deadlock prevention algorithms, overlaps with other areas such as Subnet.
His work in Deadlock addresses issues such as Control, which are connected to fields such as Control theory.
Abdulrahman Al-Ahmari focuses mostly in the field of Electrical discharge machining, narrowing it down to topics relating to Shape-memory alloy and, in certain cases, Machining.
The Machining study combines topics in areas such as Laser, Optics and Laser scanning.
Between 2017 and 2021, his most popular works were:
- Requirements of the Smart Factory System: A Survey and Perspective (60 citations)
- Additive manufacturing: Challenges, trends, and applications: (47 citations)
- Implementing traceability systems in specific supply chain management (SCM) through critical success factors (CSFs) (33 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Composite material
Petri net, Machining, Composite material, Distributed computing and Surface roughness are his primary areas of study.
In the field of Petri net, his study on Deadlock prevention algorithms overlaps with subjects such as Subnet and Unobservable.
His biological study spans a wide range of topics, including Scientific method, Deposition and Process engineering.
His work on Deadlock as part of general Distributed computing study is frequently connected to Flexibility, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His studies in Surface roughness integrate themes in fields like Surface finish, Laser, Optics, Laser scanning and Electrical discharge machining.
His research in Titanium alloy focuses on subjects like Design for additive manufacturing, which are connected to Mechanical engineering.
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