Karamath Ateeq

577 total citations
24 papers, 275 citations indexed

About

Karamath Ateeq is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Karamath Ateeq has authored 24 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Karamath Ateeq's work include IoT and Edge/Fog Computing (5 papers), Blockchain Technology Applications and Security (4 papers) and Cloud Data Security Solutions (3 papers). Karamath Ateeq is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Blockchain Technology Applications and Security (4 papers) and Cloud Data Security Solutions (3 papers). Karamath Ateeq collaborates with scholars based in United Arab Emirates, Pakistan and Saudi Arabia. Karamath Ateeq's co-authors include Taher M. Ghazal, Muhammad Adnan Khan, Iftikhar Naseer, Amir Haider, Mohammad Kamrul Hasan, Munir Ahmad, Sagheer Abbas, MuhibUr Rahman, Shahan Yamin Siddiqui and Junaid Khan and has published in prestigious journals such as IEEE Access, Applied Sciences and Computational Intelligence and Neuroscience.

In The Last Decade

Karamath Ateeq

19 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karamath Ateeq United Arab Emirates 6 87 44 36 33 27 24 275
Shazia Saqib Pakistan 9 61 0.7× 68 1.5× 36 1.0× 14 0.4× 24 0.9× 22 280
Mohammed Alojail Saudi Arabia 8 47 0.5× 30 0.7× 13 0.4× 21 0.6× 16 0.6× 32 192
Iftikhar Naseer Pakistan 10 184 2.1× 38 0.9× 47 1.3× 176 5.3× 14 0.5× 15 457
Adel A. Bahaddad Saudi Arabia 12 89 1.0× 60 1.4× 30 0.8× 32 1.0× 7 0.3× 42 288
P. Jeyanthi India 8 63 0.7× 28 0.6× 27 0.8× 9 0.3× 14 0.5× 32 213
Tianqi Wang China 10 69 0.8× 25 0.6× 45 1.3× 14 0.4× 59 2.2× 42 249
Anas W. Abulfaraj Saudi Arabia 10 75 0.9× 35 0.8× 47 1.3× 19 0.6× 5 0.2× 26 215
Sonali Vyas India 10 77 0.9× 115 2.6× 62 1.7× 14 0.4× 8 0.3× 41 285
Alamsyah Alamsyah Indonesia 11 142 1.6× 115 2.6× 20 0.6× 12 0.4× 5 0.2× 50 300
Ettikan Kandasamy Karuppiah Malaysia 7 125 1.4× 76 1.7× 39 1.1× 29 0.9× 5 0.2× 32 311

Countries citing papers authored by Karamath Ateeq

Since Specialization
Citations

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

Fields of papers citing papers by Karamath Ateeq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karamath Ateeq

This figure shows the co-authorship network connecting the top 25 collaborators of Karamath Ateeq. A scholar is included among the top collaborators of Karamath Ateeq 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 Karamath Ateeq. Karamath Ateeq 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
1.
Ateeq, Karamath, et al.. (2025). Harnessing AI for Faster Innovation: How AI Concept Generation Impacts Development Timelines and Market Agility. Journal of Posthumanism. 5(2). 37–50.
2.
Al-Dmour, Nidal A., et al.. (2024). Role of Cloud Computing in Education. 1–4. 1 indexed citations
3.
Niu, Yitong, et al.. (2024). Cloud-Based 3D Virtual Interactive Lab Design. 1–6. 1 indexed citations
4.
5.
Nasir, Muhammad Umar, et al.. (2024). Federated Machine Learning Based Fetal Health Prediction Empowered with Bio-Signal Cardiotocography. Computers, materials & continua/Computers, materials & continua (Print). 78(3). 3303–3321. 4 indexed citations
6.
7.
Nasir, Muhammad Umar, et al.. (2024). Cervical Cancer Prediction Empowered with Federated Machine Learning. Computers, materials & continua/Computers, materials & continua (Print). 79(1). 963–981. 7 indexed citations
8.
9.
Ateeq, Karamath, et al.. (2023). A Mechanism for Bitcoin Price Forecasting using Deep Learning. International Journal of Advanced Computer Science and Applications. 14(8). 4 indexed citations
10.
Anbar, Mohammed, et al.. (2023). Enhancing Cloud Computing Analysis: A CCE-Based HTTP-GET Log Dataset. Applied Sciences. 13(16). 9086–9086. 3 indexed citations
11.
Naseer, Iftikhar, et al.. (2023). User Feedback based Trust Analysis in Cloud Computing using Machine Learning Approach. 30. 1–8. 1 indexed citations
12.
Ateeq, Karamath, et al.. (2022). NABA: Novel Adaptive Broadcast Storm Avoidance in NDN and SDN based FANET. 1–5. 1 indexed citations
13.
Issa, Ghassan F., et al.. (2022). IoT Based Smart Fish-Feeder and Monitoring System. 1–4. 14 indexed citations
14.
Alyas, Tahir, et al.. (2022). Security Analysis for Virtual Machine Allocation in Cloud Computing. 5. 1–9. 3 indexed citations
15.
Ateeq, Karamath. (2022). Hybrid Working Method: An Integrative Review. 1–8. 6 indexed citations
16.
Siddiqui, Shahan Yamin, Amir Haider, Taher M. Ghazal, et al.. (2021). IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning. IEEE Access. 9. 146478–146491. 139 indexed citations
17.
Pradhan, Manas Ranjan, Karamath Ateeq, & Beenu Mago. (2021). Wearable Device Based on IoT in the Healthcare System for Disease Detection and Symptom Recognition. International Journal of Artificial Intelligence Tools. 30(06n08). 1 indexed citations
18.
19.
Ganapathy, Gopinath, et al.. (2019). A Reliability-Driven Methodology to enhance the Healthcare Quality. 260–262. 1 indexed citations
20.
Ateeq, Karamath & Gopinath Ganapathy. (2017). A Hybrid Genetic-Relative Reduct Algorithm for Pre-Processing the Diabetic Dataset. International Journal of Advanced Research in Computer Science. 8(1). 60–64.

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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