Anindya Iqbal

1.3k citations
48 papers · 632 indexed · 1 hit paper · h-index 12
Topics
Software Engineering Research (15 papers)Indoor and Outdoor Localization Technologies (8 papers)Software Engineering Techniques and Practices (7 papers)

In The Last Decade

Anindya Iqbal

43 papers receiving 609 citations

Hit Papers

A benchmark study of machine learning models for online f...202120262022202420214080120

Peers

Anindya Iqbal
Comparison fields: 5 of 64
  • Information Systems 397
  • Artificial Intelligence 312
  • Sociology and Political Science 157
  • Signal Processing 107
  • Computer Networks and Communications 101
Replace Maleknaz Nayebi with:
Maleknaz Nayebi Canada
Christos Kalloniatis Greece
Inah Omoronyia United Kingdom
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Anindya Iqbal relative to Maleknaz Nayebi Canada Maleknaz Nayebi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anindya Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Iqbal. A scholar is included among the top collaborators of Anindya Iqbal 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 Anindya Iqbal. Anindya Iqbal 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
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7 85
8 11
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A benchmark study of machine learning models for online fake news detectionbreakdown →
137
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13 8
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Holistic static and animated 3D scene generation from diverse text descriptions.
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About Anindya Iqbal

Anindya Iqbal is a scholar working on Computer Science Applications, Software and Information Systems, having authored 48 papers that have together received 632 indexed citations. Recurring topics across this work include Software Engineering Research (15 papers), Indoor and Outdoor Localization Technologies (8 papers) and Software Engineering Techniques and Practices (7 papers). The work is most often cited by research in Information Systems (397 citations), Signal Processing (107 citations) and Software (37 citations). Anindya Iqbal has collaborated with scholars based in Bangladesh, Australia and United States. Frequent co-authors include Amiangshu Bosu, Rifat Shahriyar, Gias Uddin, Sadia Afroz, Partha Chakraborty, Junaed Younus Khan, Toufique Ahmed, Shahram Rahimi, Manzur Murshed and Atif Rahman. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Network and Computer 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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