Habibullah Akbar

441 total citations
60 papers, 271 citations indexed

About

Habibullah Akbar is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Habibullah Akbar has authored 60 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 21 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Habibullah Akbar's work include Edcuational Technology Systems (9 papers), Blockchain Technology in Education and Learning (8 papers) and Data Mining and Machine Learning Applications (7 papers). Habibullah Akbar is often cited by papers focused on Edcuational Technology Systems (9 papers), Blockchain Technology in Education and Learning (8 papers) and Data Mining and Machine Learning Applications (7 papers). Habibullah Akbar collaborates with scholars based in Indonesia, Malaysia and India. Habibullah Akbar's co-authors include Anton Satria Prabuwono, Suharjito Suharjito, Ariadi Nugroho, Sfenrianto Sfenrianto, Mochamad Wahyudi, Nanna Suryana, Hang Tuah Jaya, Shahrin Sahib, Puji Rahayu and M. A. Burhanuddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Electrical Engineering and International Journal of Emerging Technologies in Learning (iJET).

In The Last Decade

Habibullah Akbar

48 papers receiving 256 citations

Peers

Habibullah Akbar
Comparison fields: 5 of 84
  • Artificial Intelligence 69
  • Information Systems 49
  • Computer Vision and Pattern Recognition 47
  • Industrial and Manufacturing Engineering 43
  • Health Information Management 41
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Citations per field, relative to Habibullah Akbar
Habibullah Akbar · 1×
Citations per year, relative to Habibullah Akbar
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Countries citing papers authored by Habibullah Akbar

Since Specialization
Citations

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

Fields of papers citing papers by Habibullah Akbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Habibullah Akbar

This figure shows the co-authorship network connecting the top 25 collaborators of Habibullah Akbar. A scholar is included among the top collaborators of Habibullah Akbar 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 Habibullah Akbar. Habibullah Akbar 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
# Work Indexed citations
1 0
2 1
3 0
4 0
5 1
6 1
7 2
8 1
9 0
10 7
11 1
12 0
13 1
14 0
15 0
16 1
17 1
18 2
19
THE NEXT WAVE OF DISRUPTIVE TECHNOLOGY ON LANGUAGE AND CULTURE
1
20
Controlling B-Spline Snake Behavior using Particle Swarm Optimization
1

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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