Arif Ridho Lubis

1.2k citations
89 papers · 801 indexed · h-index 16

Arif Ridho Lubis

81 papers receiving 776 citations

Peers

Arif Ridho Lubis
Comparison fields: 5 of 107
  • Information Systems 518
  • Management Information Systems 69
  • Artificial Intelligence 224
  • Information Systems and Management 47
  • Signal Processing 46
Replace Suriayati Chuprat with:
Suriayati Chuprat Malaysia
Daniel Siahaan Indonesia
Claudio Schifanella Italy
José Palazzo Moreira de Oliveira Brazil
Ema Utami Indonesia
Chetna Gupta India
Irum Inayat Pakistan
Anushree Agrawal India
Ankur Singh Bist India
Areej Alhogail Saudi Arabia
Arif Ridho Lubis relative to Suriayati Chuprat Malaysia Suriayati Chuprat's profile →
Citations per field
00.5×1.7×
Suriayati Chuprat · 1×
Citations per year

Countries citing papers authored by Arif Ridho Lubis

Since Specialization
Citations

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

Fields of papers citing papers by Arif Ridho Lubis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Arif Ridho Lubis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arif Ridho Lubis Line = papers co-authored together Arif Ridho Lubis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20245
4 20240
5 20241
6 20230
7 20232
8 20230
9 20234
10 20232
11 20231
12 20231
13 20224
14 20221
15 20229
16 202210
17 202014
18 202022
19 201821
20 201576

About Arif Ridho Lubis

Arif Ridho Lubis is a scholar working on Information Systems, Artificial Intelligence and Information Systems and Management, having authored 89 papers that have together received 801 indexed citations. Recurring topics across this work include Information Retrieval and Data Mining (48 papers), Multimedia Learning Systems (11 papers), Edcuational Technology Systems (10 papers), Data Mining and Machine Learning Applications (10 papers), Islamic Finance and Communication (6 papers), IoT-based Smart Home Systems (6 papers), ICT in Developing Communities (5 papers) and Cybercrime and Law Enforcement Studies (5 papers). The work is most often cited by research in Information Systems (518 citations), Management Information Systems (69 citations) and Artificial Intelligence (224 citations). Arif Ridho Lubis has collaborated with scholars based in Indonesia, Malaysia and Cambodia. Frequent co-authors include Muharman Lubis, Al-Khowarizmi Al-Khowarizmi, Abdul Rahman Ahlan, Mahyuddin K. M. Nasution, Elviawaty Muisa Zamzami, Opim Salim Sitompul, Tien Fabrianti Kusumasari, A. Akrim, Romi Fadillah Rahmat and Dini Handayani. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Science Letters and Journal of Physics Conference Series.

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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