Mohd Sapiyan Baba

779 citations
32 papers · 563 · h-index 10

Impact in

Papers in

Mohd Sapiyan Baba

30 papers receiving 537 citations

Peers

Mohd Sapiyan Baba
Comparison fields: 5 of 101
  • Communication 103
  • Information Systems and Management 82
  • Artificial Intelligence 246
  • Computational Theory and Mathematics 115
  • Computer Vision and Pattern Recognition 83
Replace Andreas Schmidt with:
Andreas Schmidt Germany
Alison Kidd United Kingdom
Tapan Kumar Das India
Xiaocong Fan United States
Flavio De Paoli Italy
Pablo de la Fuente Spain
Walter Van de Velde Belgium
Allen H. Dutoit Germany
Qing Tan Canada
Mohd Sapiyan Baba relative to Andreas Schmidt Germany Andreas Schmidt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohd Sapiyan Baba

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Sapiyan Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohd Sapiyan Baba. 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 Mohd Sapiyan Baba. The network helps show where Mohd Sapiyan Baba may publish in the future.

Co-authors

The 24 scholars most cited alongside Mohd Sapiyan Baba, 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 Mohd Sapiyan Baba Line = papers co-authored together Mohd Sapiyan Baba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018167
2 2013104
3 201465
4 201440
5 200734
6 200734
7 201418
8 201615
9 201612
10 201311
11
Fuzzy Multi Criteria Decision Making Applications: A Review Study.
20147
12 20096
13 20116
14 20086
15 20125
16
Parameters' fine tuning of differential evolution algorithm.
20154
17 20084
18 20104
19 20093
20
Intelligent Decision Support Systems for Oil Price Forecasting
20152

About Mohd Sapiyan Baba

Mohd Sapiyan Baba is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Management Science and Operations Research and Molecular Biology, having authored 32 papers that have together received 563 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Water Quality Monitoring Technologies (4 papers), Neural Networks and Applications (4 papers), Water Quality Monitoring and Analysis (4 papers), Knowledge Management and Sharing (3 papers), Technology Adoption and User Behaviour (3 papers), Evolutionary Algorithms and Applications (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Communication (103 citations), Information Systems and Management (82 citations), Artificial Intelligence (246 citations), Computational Theory and Mathematics (115 citations) and Computer Vision and Pattern Recognition (83 citations). Mohd Sapiyan Baba has collaborated with scholars based in Malaysia, Kuwait and Pakistan. Frequent co-authors include Rawaa Dawoud Al-Dabbagh, Alireza Tamjidyamcholo, Norisma Idris, Ferrante Neri, Ahmed Mueen, Roziati Zainuddin, Liyana Shuib, Saad Mekhilef, Shahaboddin Shamshirband and Sorayya Malek. Their work appears in journals such as Journal of Digital Imaging, BMC Bioinformatics, Journal of Medical Systems, Journal of Applied Sciences and Applied Artificial Intelligence.

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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