Alhadi Bustamam

1.9k citations
142 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Machine Learning in Bioinformatics (42 papers)Gene expression and cancer classification (29 papers)Bioinformatics and Genomic Networks (25 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsBMC Genomics

In The Last Decade

Alhadi Bustamam

133 papers receiving 1.1k citations

Hit Papers

Deep Learning in Image Classification using Residual Netw...20212026202220242021100200300

Peers

Alhadi Bustamam
Comparison fields: 5 of 155
  • Artificial Intelligence 432
  • Radiology, Nuclear Medicine and Imaging 377
  • Computer Vision and Pattern Recognition 247
  • Molecular Biology 207
  • Information Systems 104
Replace Devvi Sarwinda with:
Devvi Sarwinda Indonesia
Diyar Qader Zeebaree Iraq
Muhammad Mateen China
Munish Khanna India
Nasrullah Nasrullah China
Law Kumar Singh India
Seba Susan India
Gaurav Gupta India
Alaa S. Al‐Waisy Iraq
Jyotismita Chaki India
Alhadi Bustamam relative to Devvi Sarwinda Indonesia Devvi Sarwinda's profile →
Citations per field
00.5×2.6×
Devvi Sarwinda · 1×
Citations per year

Countries citing papers authored by Alhadi Bustamam

Since Specialization
Citations

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

Fields of papers citing papers by Alhadi Bustamam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alhadi Bustamam

This figure shows the co-authorship network connecting the top 25 collaborators of Alhadi Bustamam. A scholar is included among the top collaborators of Alhadi Bustamam 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 Alhadi Bustamam. Alhadi Bustamam 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
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Diabetic Retinopathy Detection and Classification Using GoogleNet and Attention Mechanism Through Fundus Images
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The development of integrated computing platform to improve user satisfaction and cost efficiency of in silico drug discovery activities
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An efficient parallel implementation of Markov clustering algorithm for large-scale protein-protein interaction networks that uses MPI
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About Alhadi Bustamam

Alhadi Bustamam is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 142 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (42 papers), Gene expression and cancer classification (29 papers) and Bioinformatics and Genomic Networks (25 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (377 citations), Health Information Management (70 citations) and Artificial Intelligence (432 citations). Alhadi Bustamam has collaborated with scholars based in Indonesia, Australia and United Kingdom. Frequent co-authors include Devvi Sarwinda, Pinkie Anggia, Titin Siswantining, Arry Yanuar, Kevin Burrage, Nicholas Hamilton, Dipo Aldila, Wibowo Mangunwardoyo, Beti Ernawati Dewi and Hengki Tasman. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and BMC Genomics.

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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