Sultan Alfarhood

1.8k citations
91 papers · 743 indexed · 1 hit paper · h-index 15
Topics
Smart Agriculture and AI (9 papers)IoT and Edge/Fog Computing (8 papers)Brain Tumor Detection and Classification (8 papers)

In The Last Decade

Sultan Alfarhood

81 papers receiving 699 citations

Hit Papers

A multimodal approach to cross-lingual sentiment analysis...20242026202520241020304050

Peers

Sultan Alfarhood
Comparison fields: 5 of 114
  • Artificial Intelligence 238
  • Information Systems 123
  • Computer Vision and Pattern Recognition 113
  • Computer Networks and Communications 89
  • Plant Science 87
Replace R Surendran with:
R Surendran India
Ramgopal Kashyap India
Mejdl Safran Saudi Arabia
Vandana Sharma India
Avinash Sharma India
Amitabha Chakrabarty Bangladesh
V. Muneeswaran India
Jaafar Alghazo Saudi Arabia
Shakila Basheer Saudi Arabia
Ahmed A. Elngar Egypt
Sultan Alfarhood relative to R Surendran India R Surendran's profile →
Citations per field
00.5×10×13×
R Surendran · 1×
Citations per year

Countries citing papers authored by Sultan Alfarhood

Since Specialization
Citations

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

Fields of papers citing papers by Sultan Alfarhood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sultan Alfarhood

This figure shows the co-authorship network connecting the top 25 collaborators of Sultan Alfarhood. A scholar is included among the top collaborators of Sultan Alfarhood 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 Sultan Alfarhood. Sultan Alfarhood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 2
3 1
4 6
5 17
6 10
7 6
8 4
9 1
10 6
11 17
12 15
13 2
14 10
15 1
16 2
17 11
18 5
19 4
20 4

About Sultan Alfarhood

Sultan Alfarhood is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology, having authored 91 papers that have together received 743 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), IoT and Edge/Fog Computing (8 papers) and Brain Tumor Detection and Classification (8 papers). The work is most often cited by research in Health Information Management (48 citations), Artificial Intelligence (238 citations) and Health Informatics (10 citations). Sultan Alfarhood has collaborated with scholars based in Saudi Arabia, Bangladesh and United States. Frequent co-authors include Mejdl Safran, M. F. Mridha, Dunren Che, Md. Mohsin Kabir, Imran Ashraf, Susan Gauch, Ketan Kotecha, Mustafa Ibrahim Khaleel, Md Saef Ullah Miah and Michelle Zhu. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

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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