Tasadduq Imam

1.8k total citations · 1 hit paper
40 papers, 1.1k citations indexed

About

Tasadduq Imam is a scholar working on Artificial Intelligence, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Tasadduq Imam has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Economics and Econometrics and 9 papers in Computer Networks and Communications. Recurrent topics in Tasadduq Imam's work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (8 papers) and Artificial Intelligence in Healthcare (7 papers). Tasadduq Imam is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (8 papers) and Artificial Intelligence in Healthcare (7 papers). Tasadduq Imam collaborates with scholars based in Australia, Fiji and United States. Tasadduq Imam's co-authors include Jesmin Nahar, Kevin S. Tickle, Yi‐Ping Phoebe Chen, Joarder Kamruzzaman, Md. Mamunur Rashid, Steven Gordon, Santoso Wibowo, Mohammad Mehedi Hassan, Shahadat Uddin and Mohammad Ali Moni and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Personality and Individual Differences.

In The Last Decade

Tasadduq Imam

36 papers receiving 1.0k citations

Hit Papers

Association rule mining t... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tasadduq Imam Australia 13 533 287 260 207 166 40 1.1k
Ankur Teredesai United States 20 638 1.2× 195 0.7× 163 0.6× 348 1.7× 117 0.7× 83 1.6k
Rahul Katarya India 25 1.0k 1.9× 253 0.9× 335 1.3× 715 3.5× 183 1.1× 142 2.3k
Jim Davies United Kingdom 21 695 1.3× 92 0.3× 224 0.9× 407 2.0× 42 0.3× 115 2.2k
Kasturi Dewi Varathan Malaysia 16 665 1.2× 343 1.2× 144 0.6× 275 1.3× 145 0.9× 34 1.3k
John H. Gennari United States 27 977 1.8× 458 1.6× 232 0.9× 326 1.6× 92 0.6× 97 2.5k
Rayid Ghani United States 25 1.5k 2.9× 111 0.4× 114 0.4× 544 2.6× 121 0.7× 76 2.5k
David Gotz United States 29 909 1.7× 140 0.5× 110 0.4× 211 1.0× 432 2.6× 92 2.5k
Pedro Pereira Rodrigues Portugal 19 854 1.6× 47 0.2× 176 0.7× 136 0.7× 292 1.8× 120 1.7k
Matloob Khushi Australia 20 737 1.4× 197 0.7× 47 0.2× 139 0.7× 45 0.3× 56 1.5k
Carlos Fernández-Llatas Spain 23 288 0.5× 75 0.3× 100 0.4× 202 1.0× 39 0.2× 90 1.5k

Countries citing papers authored by Tasadduq Imam

Since Specialization
Citations

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

Fields of papers citing papers by Tasadduq Imam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tasadduq Imam

This figure shows the co-authorship network connecting the top 25 collaborators of Tasadduq Imam. A scholar is included among the top collaborators of Tasadduq Imam 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 Tasadduq Imam. Tasadduq Imam 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
2.
Vandelanotte, Corneel, Carol Maher, Tasadduq Imam, et al.. (2024). Perceptions and expectations of an artificially intelligent physical activity digital assistant — A focus group study. Applied Psychology Health and Well-Being. 16(4). 2362–2380. 2 indexed citations
4.
Rashid, Md. Mamunur, Joarder Kamruzzaman, Tasadduq Imam, Santoso Wibowo, & Steven Gordon. (2022). A tree-based stacking ensemble technique with feature selection for network intrusion detection. Applied Intelligence. 52(9). 9768–9781. 99 indexed citations
5.
Imam, Tasadduq & Shahadat Uddin. (2022). How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave. BMC Public Health. 22(1). 785–785. 6 indexed citations
6.
Imam, Tasadduq. (2022). Venturing and managing disruptive digital innovations: financial management concept motivated propositions. International Journal of Innovation Science. 15(5). 733–755. 1 indexed citations
7.
Imam, Tasadduq, et al.. (2021). How Australian SMEs engage social media as digital touchpoints – a content analysis. Small Enterprise Research. 28(2). 170–189. 2 indexed citations
8.
Uddin, Shahadat, Tasadduq Imam, Md Ekramul Hossain, et al.. (2021). Intelligent type 2 diabetes risk prediction from administrative claim data. Informatics for Health and Social Care. 47(3). 243–257. 3 indexed citations
9.
Uddin, Shahadat, Tasadduq Imam, Matloob Khushi, Arif Khan, & Mohammad Ali Moni. (2021). How did socio-demographic status and personal attributes influence compliance to COVID-19 preventive behaviours during the early outbreak in Japan? Lessons for pandemic management. Personality and Individual Differences. 175. 110692–110692. 61 indexed citations
10.
Uddin, Shahadat, Tasadduq Imam, Mohammad Ali Moni, & Anne Marie Thow. (2020). Onslaught of COVID-19: How Did Governments React and at What Point of the Crisis?. Population Health Management. 24(1). 13–19. 11 indexed citations
11.
Kamruzzaman, Joarder, et al.. (2020). Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning. FedUni ResearchOnline (Federation University Australia). 150. 1–6. 1 indexed citations
12.
Rashid, Md. Mamunur, Joarder Kamruzzaman, Mohammad Mehedi Hassan, Tasadduq Imam, & Steven Gordon. (2020). Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques. International Journal of Environmental Research and Public Health. 17(24). 9347–9347. 110 indexed citations
13.
Uddin, Shahadat, Tasadduq Imam, & Mohammad Mozumdar. (2020). Research interdisciplinarity: STEM versus non-STEM. Scientometrics. 126(1). 603–618. 14 indexed citations
14.
Kamruzzaman, Joarder, et al.. (2019). Mobile Malware Detection: An Analysis of Deep Learning Model. Acquire (CQUniversity). abs 1706 947. 1161–1166. 4 indexed citations
15.
Imam, Tasadduq, et al.. (2019). Robust Malware Defense in Industrial IoT Applications using Machine Learning with Selective Adversarial Samples. IEEE Transactions on Industry Applications. 1–1. 37 indexed citations
16.
Nahar, Jesmin, A. B. M. Shawkat Ali, Tasadduq Imam, Kevin S. Tickle, & Yi‐Ping Phoebe Chen. (2016). Brain Cancer Diagnosis-Association Rule Based Computational Intelligence Approach. Acquire (CQUniversity). 89–95. 4 indexed citations
17.
Nahar, Jesmin, et al.. (2015). Medical knowledge based data mining for cardiac stress test diagnostics. Acquire (CQUniversity). 5. 1–7. 2 indexed citations
18.
Nahar, Jesmin, Tasadduq Imam, Kevin S. Tickle, A. B. M. Shawkat Ali, & Yi‐Ping Phoebe Chen. (2012). Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer. Expert Systems with Applications. 39(16). 12371–12377. 39 indexed citations
19.
Imam, Tasadduq. (2012). Intelligent Computing and Foreign Exchange Rate Prediction: What We Know and We Don��t. 1(1). 1–15. 3 indexed citations
20.
Boekema, C., et al.. (2007). Magnetism in and near YBa2Cu3O7 vortex cores and its field dependence. Physica C Superconductivity. 460-462. 1255–1256. 2 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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