Machrus Ali

205 total papers · 697 total citations
111 papers, 418 citations indexed

About

Machrus Ali is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Machrus Ali has authored 111 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 28 papers in Control and Systems Engineering and 21 papers in Information Systems. Recurrent topics in Machrus Ali's work include Engineering and Technology Innovations (43 papers), Sensorless Control of Electric Motors (15 papers) and Multimedia Learning Systems (12 papers). Machrus Ali is often cited by papers focused on Engineering and Technology Innovations (43 papers), Sensorless Control of Electric Motors (15 papers) and Multimedia Learning Systems (12 papers). Machrus Ali collaborates with scholars based in Indonesia, Singapore and Malaysia. Machrus Ali's co-authors include Aji Akbar Firdaus, Muhammad Ruswandi Djalal, Hadi Suyono, Muhammad Aziz Muslim, Imam Robandi, Arif Nur Afandi, Aris Puji Widodo, Setiawan Setiawan, Hamzah Arof and Herlambang Setiadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IAES International Journal of Artificial Intelligence and IOP Conference Series Materials Science and Engineering.

In The Last Decade

Machrus Ali

88 papers receiving 412 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Machrus Ali	203	100	71	64	52	111	418
I Nyoman Satya Kumara	194 1.0×	56 0.6×	32 0.5×	69 1.1×	9 0.2×	92	383
Wahyu Mulyo Utomo	190 0.9×	93 0.9×	47 0.7×	66 1.0×	62 1.2×	58	396
Subiyanto Subiyanto	203 1.0×	82 0.8×	138 1.9×	48 0.8×	34 0.7×	79	460
Syafii Syafii	219 1.1×	79 0.8×	63 0.9×	20 0.3×	33 0.6×	128	410
Sandro César Silveira Jucá	225 1.1×	36 0.4×	75 1.1×	27 0.4×	52 1.0×	78	420
Abdul Kadir	96 0.5×	31 0.3×	85 1.2×	155 2.4×	58 1.1×	100	380
Juan Domingo Aguilar-Peña	192 0.9×	30 0.3×	170 2.4×	28 0.4×	36 0.7×	39	441
Moh. Khairudin	66 0.3×	175 1.8×	36 0.5×	92 1.4×	126 2.4×	88	492
Sherwin R.U.A. Sompie	174 0.9×	27 0.3×	52 0.7×	174 2.7×	40 0.8×	68	388
Muhardi Muhardi	71 0.3×	12 0.1×	57 0.8×	142 2.2×	34 0.7×	112	388

Countries citing papers authored by Machrus Ali

Since Specialization

Citations

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

Fields of papers citing papers by Machrus Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Machrus Ali

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

All Works

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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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