Muhammad Arif

52 total papers · 601 total citations
30 papers, 328 citations indexed

About

Muhammad Arif is a scholar working on Organizational Behavior and Human Resource Management, Marketing and Demography. According to data from OpenAlex, Muhammad Arif has authored 30 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organizational Behavior and Human Resource Management, 14 papers in Marketing and 14 papers in Demography. Recurrent topics in Muhammad Arif's work include SMEs Development and Digital Marketing (14 papers), Consumer Behavior and Marketing Influence (12 papers) and Employee Performance and Leadership (9 papers). Muhammad Arif is often cited by papers focused on SMEs Development and Digital Marketing (14 papers), Consumer Behavior and Marketing Influence (12 papers) and Employee Performance and Leadership (9 papers). Muhammad Arif collaborates with scholars based in Indonesia, Pakistan and China. Muhammad Arif's co-authors include Waqar Ahmed, Arsalan Najmi, Jufrizen Jufrizen, Muhammad Fahmi, Muhammad Aslam Khan, Muhammad Andi Prayogi, Ade Gunawan, Nel Arianty, Hasan Hasan and Suwarno Suwarno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Smart and Sustainable Built Environment and International Journal of Energy Economics and Policy.

In The Last Decade

Muhammad Arif

21 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Muhammad Arif	133	122	84	83	74	30	328
I Ketut Setia Sapta	158 1.2×	48 0.4×	53 0.6×	114 1.4×	66 0.9×	28	305
Satria Tirtayasa	206 1.5×	76 0.6×	29 0.3×	198 2.4×	99 1.3×	28	365
Anak Agung Putu Agung	110 0.8×	75 0.6×	67 0.8×	84 1.0×	101 1.4×	28	339
Muhammad Irfan Nasution	93 0.7×	74 0.6×	21 0.3×	73 0.9×	75 1.0×	26	288
Heri Erlangga	149 1.1×	72 0.6×	37 0.4×	91 1.1×	83 1.1×	40	285
Meily Margaretha	159 1.2×	48 0.4×	33 0.4×	121 1.5×	54 0.7×	29	308
Meithiana Indrasari	105 0.8×	143 1.2×	30 0.4×	52 0.6×	128 1.7×	31	314
Lieli Suharti	90 0.7×	39 0.3×	39 0.5×	41 0.5×	103 1.4×	45	351
Mohd Hasanur Raihan Joarder	155 1.2×	58 0.5×	34 0.4×	39 0.5×	37 0.5×	34	363
Astadi Pangarso	78 0.6×	28 0.2×	70 0.8×	67 0.8×	33 0.4×	31	309

Countries citing papers authored by Muhammad Arif

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Arif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Arif

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arif. A scholar is included among the top collaborators of Muhammad Arif 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 Muhammad Arif. Muhammad Arif 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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