Anindya Iqbal

1.3k total citations · 1 hit paper
48 papers, 632 citations indexed

About

Anindya Iqbal is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Anindya Iqbal has authored 48 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Information Systems, 20 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Anindya Iqbal's work include Software Engineering Research (15 papers), Indoor and Outdoor Localization Technologies (8 papers) and Software Engineering Techniques and Practices (7 papers). Anindya Iqbal is often cited by papers focused on Software Engineering Research (15 papers), Indoor and Outdoor Localization Technologies (8 papers) and Software Engineering Techniques and Practices (7 papers). Anindya Iqbal collaborates with scholars based in Bangladesh, Australia and United States. Anindya Iqbal's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Network and Computer Applications.

In The Last Decade

Anindya Iqbal

43 papers receiving 609 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A benchmark study of machine learning models for online fake news detection

2021 137 citations Junaed Younus Khan, Sadia Afroz et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anindya Iqbal Bangladesh	12	397	312	157	107	101	48	632
Loredana Parasiliti Provenza Italy	7	218 0.5×	590 1.9×	162 1.0×	46 0.4×	61 0.6×	17	744
Basel Katt Norway	11	334 0.8×	149 0.5×	70 0.4×	141 1.3×	211 2.1×	65	580
Christos Kalloniatis Greece	17	498 1.3×	269 0.9×	332 2.1×	198 1.9×	154 1.5×	77	850
Jaap-Henk Hoepman Netherlands	12	213 0.5×	234 0.8×	163 1.0×	66 0.6×	118 1.2×	55	527
Inah Omoronyia United Kingdom	11	216 0.5×	119 0.4×	61 0.4×	54 0.5×	82 0.8×	30	353
Laura Sebastiá Spain	11	292 0.7×	196 0.6×	171 1.1×	62 0.6×	101 1.0×	36	566
Maleknaz Nayebi Canada	12	411 1.0×	150 0.5×	45 0.3×	58 0.5×	68 0.7×	39	520
Robin Gandhi United States	11	353 0.9×	167 0.5×	44 0.3×	72 0.7×	106 1.0×	51	474
Dimitri Van Landuyt Belgium	17	597 1.5×	247 0.8×	91 0.6×	108 1.0×	413 4.1×	96	772
Nur Haryani Zakaria Malaysia	12	256 0.6×	89 0.3×	130 0.8×	131 1.2×	123 1.2×	45	534

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Adnan, Muhammad Abdullah, et al.. (2025). Bridging the Last Mile: Unpacking the Rural Digital Divide in Bangladesh. 150–166. 1 indexed citations

Chakraborty, Partha, et al.. (2024). A comparative study of software development practices in Bangladesh, an emerging country. 2(2). 149–187. 2 indexed citations

Uddin, Gias, et al.. (2023). A mixed method study of DevOps challenges. Information and Software Technology. 161. 107244–107244. 3 indexed citations

Iqbal, Anindya, et al.. (2023). Towards Automated Classification of Code Review Feedback to Support Analytics. 1–12. 5 indexed citations

Islam, Md. Jahidul, et al.. (2023). Actual rating calculation of the zoom cloud meetings app using user reviews on google play store with sentiment annotation of BERT and hybridization of RNN and LSTM. Expert Systems with Applications. 223. 119919–119919. 12 indexed citations

Afroz, Sadia, et al.. (2022). A Hiring Story: Experiences of Employers in Hiring CS Graduates in Software Startups. 126–129. 1 indexed citations

Bhattacharjee, Abhik, Tahmid Hasan, Wasi Uddin Ahmad, et al.. (2022). BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla. 1318–1327. 85 indexed citations

Iqbal, Anindya, et al.. (2022). What Do Firebase Developers Discuss About? An Empirical Study on Stack Overflow Posts. 63–74. 2 indexed citations

Uddin, Gias, et al.. (2022). A Mixed Method Study of Devops Challenges. SSRN Electronic Journal.

10.

Uddin, Gias, et al.. (2022). Developer discussion topics on the adoption and barriers of low code software development platforms. Empirical Software Engineering. 28(1). 4–4. 11 indexed citations

11.

Khan, Junaed Younus, et al.. (2021). A benchmark study of machine learning models for online fake news detection. SHILAP Revista de lepidopterología. 4. 100032–100032. 137 indexed citations breakdown →

12.

Chakraborty, Partha, Rifat Shahriyar, Anindya Iqbal, & Gias Uddin. (2021). How do developers discuss and support new programming languages in technical Q&A site? An empirical study of Go, Swift, and Rust in Stack Overflow. Information and Software Technology. 137. 106603–106603. 19 indexed citations

13.

Shahriyar, Rifat, et al.. (2021). SQLIFIX: Learning Based Approach to Fix SQL Injection Vulnerabilities in Source Code. 354–364. 8 indexed citations

14.

Iqbal, Anindya, et al.. (2021). Review4Repair: Code review aided automatic program repairing. Information and Software Technology. 143. 106765–106765. 8 indexed citations

15.

Iqbal, Anindya, et al.. (2020). Holistic static and animated 3D scene generation from diverse text descriptions.. arXiv (Cornell University). 1 indexed citations

16.

Ahmed, Toufique, et al.. (2019). Early Prediction for Merged vs Abandoned Code Changes in Modern Code Reviews. arXiv (Cornell University). 12 indexed citations

17.

Chakraborty, Partha, Rifat Shahriyar, & Anindya Iqbal. (2019). Empirical Analysis of the Growth and Challenges of New Programming Languages. 191–196. 1 indexed citations

18.

Islam, Md. Saiful, et al.. (2019). Automatic Detection of NoSQL Injection Using Supervised Learning. 760–769. 12 indexed citations

19.

Murshed, Manzur, et al.. (2013). Verifiable and Privacy Preserving Electronic Voting with Untrusted Machines. FedUni ResearchOnline (Federation University Australia). 4. 798–804. 3 indexed citations

20.

Iqbal, Anindya & Manzur Murshed. (2010). Attack-Resistant Sensor Localization under Realistic Wireless Signal Fading. FedUni ResearchOnline (Federation University Australia). 52. 1–6. 5 indexed citations

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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