Mathew Kuttolamadom

1.2k total citations
65 papers, 845 citations indexed

About

Mathew Kuttolamadom is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Mathew Kuttolamadom has authored 65 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanical Engineering, 16 papers in Biomedical Engineering and 14 papers in Automotive Engineering. Recurrent topics in Mathew Kuttolamadom's work include Advanced machining processes and optimization (14 papers), Additive Manufacturing and 3D Printing Technologies (14 papers) and Manufacturing Process and Optimization (11 papers). Mathew Kuttolamadom is often cited by papers focused on Advanced machining processes and optimization (14 papers), Additive Manufacturing and 3D Printing Technologies (14 papers) and Manufacturing Process and Optimization (11 papers). Mathew Kuttolamadom collaborates with scholars based in United States, Egypt and Mexico. Mathew Kuttolamadom's co-authors include Ziyaur Rahman, Eman M. Mohamed, Mansoor A. Khan, Tanil Ozkan, Sogra F. Barakh Ali, Laine Mears, Michael Liu, Abhishek Kumar, Satish Bukkapatnam and Naseem A. Charoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Corrosion Science and International Journal of Pharmaceutics.

In The Last Decade

Mathew Kuttolamadom

63 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathew Kuttolamadom United States 13 418 387 382 124 84 65 845
Yung‐Kang Shen Taiwan 18 438 1.0× 465 1.2× 237 0.6× 128 1.0× 163 1.9× 111 1.1k
Jakub Měsíček Czechia 12 369 0.9× 304 0.8× 560 1.5× 147 1.2× 36 0.4× 48 915
Jiří Hajnyš Czechia 17 639 1.5× 325 0.8× 734 1.9× 202 1.6× 43 0.5× 74 1.2k
Quoc-Phu Ma Czechia 7 208 0.5× 258 0.7× 414 1.1× 78 0.6× 30 0.4× 22 670
Marek Pagáč Czechia 19 699 1.7× 341 0.9× 780 2.0× 194 1.6× 57 0.7× 74 1.4k
Yahya Bozkurt Türkiye 13 757 1.8× 259 0.7× 312 0.8× 66 0.5× 78 0.9× 42 1.1k
Lukáš Jančar Czechia 5 175 0.4× 253 0.7× 395 1.0× 83 0.7× 30 0.4× 6 622
Ray Tahir Mushtaq China 17 320 0.8× 269 0.7× 341 0.9× 136 1.1× 71 0.8× 47 736
S. Abolfazl Zahedi United Kingdom 17 310 0.7× 697 1.8× 444 1.2× 61 0.5× 48 0.6× 39 1.1k

Countries citing papers authored by Mathew Kuttolamadom

Since Specialization
Citations

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

Fields of papers citing papers by Mathew Kuttolamadom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew Kuttolamadom. 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 Mathew Kuttolamadom. The network helps show where Mathew Kuttolamadom may publish in the future.

Co-authorship network of co-authors of Mathew Kuttolamadom

This figure shows the co-authorship network connecting the top 25 collaborators of Mathew Kuttolamadom. A scholar is included among the top collaborators of Mathew Kuttolamadom 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 Mathew Kuttolamadom. Mathew Kuttolamadom 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.
Kuttolamadom, Mathew, et al.. (2025). Real-time monitoring of selective laser sintering 3D printing process for lamivudine content quantification in the printlets: a modern solution to a modern problem. International Journal of Pharmaceutics. 684. 126118–126118. 1 indexed citations
2.
Kuttolamadom, Mathew, et al.. (2025). Development and Characterization of Printlets of Lamivudine for Pediatric Patients Using Selective Laser Sintering. Pharmaceuticals. 18(3). 356–356. 2 indexed citations
3.
Kuttolamadom, Mathew, et al.. (2025). An experimental investigation of selective laser melting for coating of WC Co powder on steel substrates. SHILAP Revista de lepidopterología. 21. 100207–100207. 1 indexed citations
4.
Khan, Adnan, Tahir Khuroo, Eman M. Mohamed, et al.. (2024). Development, Pharmacokinetics and Antimalarial Evaluation of Dose Flexible 3D Printlets of Dapsone for Pediatric Patients. AAPS PharmSciTech. 25(7). 217–217. 1 indexed citations
5.
Yalvaç, Buğrahan, et al.. (2024). Improving In-Service Science and Mathematics Teachers’ Engineering and Technology Content and Pedagogical Knowledge (Evaluation). 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
6.
Kuttolamadom, Mathew, et al.. (2024). Using Virtual Reality Welding to Improve Manufacturing Process Education. Papers on Engineering Education Repository (American Society for Engineering Education). 3 indexed citations
7.
Rahman, Ziyaur, Eman M. Mohamed, Sathish Dharani, et al.. (2023). Preparation and Characterization of 3D-Printed Dose-Flexible Printlets of Tenofovir Disoproxil Fumarate. AAPS PharmSciTech. 24(6). 171–171. 6 indexed citations
8.
Rahman, Ziyaur, Tahir Khuroo, Eman M. Mohamed, et al.. (2023). Pyrimethamine 3D printlets for pediatric toxoplasmosis: design, pharmacokinetics, and anti-toxoplasma activity. Expert Opinion on Drug Delivery. 20(2). 301–311. 4 indexed citations
9.
10.
Khuroo, Tahir, Eman M. Mohamed, Sathish Dharani, et al.. (2022). Very-Rapidly Dissolving Printlets of Isoniazid Manufactured by SLS 3D Printing: In Vitro and In Vivo Characterization. Molecular Pharmaceutics. 19(8). 2937–2949. 21 indexed citations
11.
Velumani, S., G. Regmi, Min‐Ho Lee, et al.. (2021). Engineered Zr/Zn/Ti oxide nanocomposite coatings for multifunctionality. Applied Surface Science. 563. 150353–150353. 14 indexed citations
12.
Mohamed, Eman M., Sogra F. Barakh Ali, Ziyaur Rahman, et al.. (2020). Formulation Optimization of Selective Laser Sintering 3D-Printed Tablets of Clindamycin Palmitate Hydrochloride by Response Surface Methodology. AAPS PharmSciTech. 21(6). 232–232. 57 indexed citations
13.
Liu, Michael, Abhishek Kumar, Satish Bukkapatnam, & Mathew Kuttolamadom. (2020). A Review of the Anomalies in Directed Energy Deposition (DED) Processes and Potential Solutions. arXiv (Cornell University). 3 indexed citations
14.
Kuttolamadom, Mathew, et al.. (2020). Motivating STEM Participation through a 'Making as Micro-manufacture (M3)' Model. 3 indexed citations
15.
16.
Ali, Sogra F. Barakh, Eman M. Mohamed, Tanil Ozkan, et al.. (2019). Understanding the effects of formulation and process variables on the printlets quality manufactured by selective laser sintering 3D printing. International Journal of Pharmaceutics. 570. 118651–118651. 94 indexed citations
17.
Kuttolamadom, Mathew, et al.. (2015). Correlation of the Volumetric Tool Wear Rate of Carbide Milling Inserts With the Material Removal Rate of Ti–6Al–4V. Journal of Manufacturing Science and Engineering. 137(2). 12 indexed citations
18.
Kuttolamadom, Mathew, Laine Mears, & Thomas R. Kurfess. (2014). The Correlation of the Volumetric Wear Rate of Turning Tool Inserts With Carbide Grain Sizes. Journal of Manufacturing Science and Engineering. 137(1). 7 indexed citations
19.
Mears, Laine, et al.. (2012). Manufacturing Process Modeling and Application to Intelligent Control. Scholar Commons (University of South Carolina). 10(1). 5. 2 indexed citations
20.

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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