Mohammad-Javad Khalaj

508 total citations
11 papers, 412 citations indexed

About

Mohammad-Javad Khalaj is a scholar working on Mechanical Engineering, Mechanics of Materials and Metals and Alloys. According to data from OpenAlex, Mohammad-Javad Khalaj has authored 11 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 5 papers in Mechanics of Materials and 3 papers in Metals and Alloys. Recurrent topics in Mohammad-Javad Khalaj's work include Microstructure and Mechanical Properties of Steels (3 papers), Advanced machining processes and optimization (3 papers) and Metal and Thin Film Mechanics (3 papers). Mohammad-Javad Khalaj is often cited by papers focused on Microstructure and Mechanical Properties of Steels (3 papers), Advanced machining processes and optimization (3 papers) and Metal and Thin Film Mechanics (3 papers). Mohammad-Javad Khalaj collaborates with scholars based in Iran. Mohammad-Javad Khalaj's co-authors include Gholamreza Khalaj, Hesam Pouraliakbar, Hamidreza Ahmadi, Akbar Heidarzadeh, Mohammad Reza Jandaghi, Mohammad Reza Jandaghi, Jafar Habibi and Hamed Ahmadi and has published in prestigious journals such as Trends in Food Science & Technology, Ceramics International and Neural Computing and Applications.

In The Last Decade

Mohammad-Javad Khalaj

11 papers receiving 401 citations

Peers

Mohammad-Javad Khalaj
Joung Yoon Choi South Korea
Mohammad-Javad Khalaj
Citations per year, relative to Mohammad-Javad Khalaj Mohammad-Javad Khalaj (= 1×) peers Joung Yoon Choi

Countries citing papers authored by Mohammad-Javad Khalaj

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad-Javad Khalaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad-Javad Khalaj. 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 Mohammad-Javad Khalaj. The network helps show where Mohammad-Javad Khalaj may publish in the future.

Co-authorship network of co-authors of Mohammad-Javad Khalaj

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad-Javad Khalaj. A scholar is included among the top collaborators of Mohammad-Javad Khalaj 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 Mohammad-Javad Khalaj. Mohammad-Javad Khalaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Khalaj, Mohammad-Javad, et al.. (2016). Study of physical and mechanical properties of polypropylene nanocomposites for food packaging application: Nano-clay modified with iron nanoparticles. Trends in Food Science & Technology. 51. 41–48. 97 indexed citations
2.
Khalaj, Gholamreza & Mohammad-Javad Khalaj. (2016). Investigating the corrosion of the Heat-Affected Zones (HAZs) of API-X70 pipeline steels in aerated carbonate solution by electrochemical methods. International Journal of Pressure Vessels and Piping. 145. 1–12. 42 indexed citations
3.
Jandaghi, Mohammad Reza, Hesam Pouraliakbar, Gholamreza Khalaj, Mohammad-Javad Khalaj, & Akbar Heidarzadeh. (2016). Study on the post-rolling direction of severely plastic deformed Aluminum-Manganese-Silicon alloy. Archives of Civil and Mechanical Engineering. 16(4). 876–887. 79 indexed citations
5.
Pouraliakbar, Hesam, Gholamreza Khalaj, Mohammad Reza Jandaghi, & Mohammad-Javad Khalaj. (2015). Study on the correlation of toughness with chemical composition and tensile test results in microalloyed API pipeline steels. Journal of Mining and Metallurgy Section B Metallurgy. 51(2). 173–178. 40 indexed citations
6.
Pouraliakbar, Hesam, et al.. (2015). Artificial neural networks for hardness prediction of HAZ with chemical composition and tensile test of X70 pipeline steels. Journal of Iron and Steel Research International. 22(5). 446–450. 46 indexed citations
7.
Khalaj, Gholamreza & Mohammad-Javad Khalaj. (2014). Modeling layer thickness of duplex ceramic (chromium carbonitride) coating on cold work tool steel using fuzzy logic. Journal of Intelligent & Fuzzy Systems. 26(5). 2229–2237. 9 indexed citations
8.
Khalaj, Gholamreza, et al.. (2013). MODELING THE CORRELATION BETWEEN HEAT TREATMENT, CHEMICAL COMPOSITION AND BAINITE FRACTION OF PIPELINE STEELS BY MEANS OF ARTIFICIAL NEURAL NETWORKS. Neural Network World. 23(4). 351–367. 35 indexed citations
9.
Khalaj, Mohammad-Javad, et al.. (2012). A Semantic Framework for Business Process Modeling Based on Architecture Styles. 1. 513–520. 1 indexed citations
10.
Khalaj, Gholamreza & Mohammad-Javad Khalaj. (2012). Application of ANFIS for modeling of layer thickness of chromium carbonitride coating. Neural Computing and Applications. 24(3-4). 685–694. 22 indexed citations
11.
Khalaj, Gholamreza & Mohammad-Javad Khalaj. (2012). Modeling the correlation between yield strength, chemical composition and ultimate tensile strength of X70 pipeline steels by means of gene expression programming. International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde). 104(7). 697–702. 12 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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