Rayner Alfred

1.9k citations
119 papers · 917 · h-index 15

Impact in

Papers in

    • Text and Document Classification Technologies 13
    • Sentiment Analysis and Opinion Mining 10
    • Advanced Text Analysis Techniques 9
    • Advanced Clustering Algorithms Research 7
    • Evolutionary Algorithms and Applications 7
    • Data Mining Algorithms and Applications 16

Rayner Alfred

110 papers receiving 848 citations

Peers

Rayner Alfred
Comparison fields: 5 of 120
  • Management Science and Operations Research 155
  • Artificial Intelligence 378
  • Information Systems 193
  • Modeling and Simulation 20
  • Industrial and Manufacturing Engineering 41
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Citations per field
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Citations per year

Countries citing papers authored by Rayner Alfred

Since Specialization
Citations

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

Fields of papers citing papers by Rayner Alfred

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rayner Alfred, 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 Rayner Alfred Line = papers co-authored together Rayner Alfred links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021118
2 201368
3 201457
4 202151
5 201743
6 201528
7 201326
8 201422
9 201118
10
Daily Network Traffic Prediction Based on Backpropagation Neural Network
201416
11 201515
12 201715
13
Agent Architecture: An Overviews
201414
14 201214
15 201414
16
Current status of Asian elephants in Borneo
201113
17 201913
18 201812
19 201511
20 201310

About Rayner Alfred

Rayner Alfred is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Vision and Pattern Recognition and Signal Processing, having authored 119 papers that have together received 917 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (16 papers), Text and Document Classification Technologies (13 papers), Sentiment Analysis and Opinion Mining (10 papers), Stock Market Forecasting Methods (10 papers), Advanced Text Analysis Techniques (9 papers), Scheduling and Timetabling Solutions (8 papers), Advanced Clustering Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Management Science and Operations Research (155 citations), Artificial Intelligence (378 citations), Information Systems (193 citations), Modeling and Simulation (20 citations) and Industrial and Manufacturing Engineering (41 citations). Rayner Alfred has collaborated with scholars based in Malaysia, Indonesia and New Zealand. Frequent co-authors include Haviluddin Haviluddin, Joe Henry Obit, Chin Kim On, Patricia Anthony, Yuto Lim, Mohd Hanafi Ahmad Hijazi, Christie Pei-Yee Chin, Frans Coenen, Ag Asri Ag Ibrahim and Dimitar Kazakov. Their work appears in journals such as IEEE Access, International Journal of Computational Intelligence Systems, Advanced Science Letters, Applied Animal Behaviour Science and Heliyon.

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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