Rayner Alfred

2.0k citations
181 papers · 1.5k · h-index 18

Impact in

Papers in

    • Text and Document Classification Technologies 28
    • Sentiment Analysis and Opinion Mining 18
    • Advanced Text Analysis Techniques 17
    • Advanced Clustering Algorithms Research 13
    • Data Mining Algorithms and Applications 32

Rayner Alfred

171 papers receiving 1.4k citations

Peers

Rayner Alfred
Comparison fields: 5 of 131
  • Management Science and Operations Research 256
  • Artificial Intelligence 682
  • Information Systems 351
  • Signal Processing 81
  • Industrial and Manufacturing Engineering 73
Replace V. Vijayakumar with:
V. Vijayakumar India
Dharavath Ramesh India
Rasim Alguliyev Azerbaijan
Thomas Neubauer Austria
Asit Kumar Das India
Mutasem K. Alsmadi Saudi Arabia
Emmanuel Gbenga Dada Nigeria
Nonita Sharma India
Azuraliza Abu Bakar Malaysia
Arie Ben‐David Israel
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Citations per field
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V. Vijayakumar · 1×
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 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021139
2 201388
3 201467
4 202157
5 201746
6 201037
7 201528
8 201328
9 201326
10 201125
11 201425
12 201221
13 201821
14 201018
15 201218
16 201318
17 200618
18 200918
19 201717
20 201617

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 181 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (32 papers), Text and Document Classification Technologies (28 papers), Sentiment Analysis and Opinion Mining (18 papers), Advanced Text Analysis Techniques (17 papers), Scheduling and Timetabling Solutions (16 papers), Advanced Clustering Algorithms Research (13 papers), Face and Expression Recognition (12 papers) and Rough Sets and Fuzzy Logic (12 papers). The work is most often cited by research in Management Science and Operations Research (256 citations), Artificial Intelligence (682 citations), Information Systems (351 citations), Signal Processing (81 citations) and Industrial and Manufacturing Engineering (73 citations). Rayner Alfred has collaborated with scholars based in Malaysia, Indonesia and New Zealand. Frequent co-authors include Joe Henry Obit, Haviluddin Haviluddin, Chin Kim On, Patricia Anthony, Yuto Lim, Mohd Hanafi Ahmad Hijazi, Christie Pei-Yee Chin, Dimitar Kazakov, Frans Coenen and Ag Asri Ag Ibrahim. Their work appears in journals such as IEEE Access, International Journal of Computational Intelligence Systems, Advanced Science Letters, Lecture notes in computer science and Applied Animal Behaviour Science.

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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