Iskandar Ishak

544 total citations
45 papers, 328 citations indexed

About

Iskandar Ishak is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Iskandar Ishak has authored 45 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 12 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Iskandar Ishak's work include Data Quality and Management (9 papers), Data Mining Algorithms and Applications (4 papers) and Disaster Management and Resilience (4 papers). Iskandar Ishak is often cited by papers focused on Data Quality and Management (9 papers), Data Mining Algorithms and Applications (4 papers) and Disaster Management and Resilience (4 papers). Iskandar Ishak collaborates with scholars based in Malaysia, Nigeria and Saudi Arabia. Iskandar Ishak's co-authors include Fatimah Sidi, Lilly Suriani Affendey, Marzanah A. Jabar, Rohaya Latip, Umar Ali Bukar, Hamidah Ibrahim, Salfarina Abdullah, Maslina Zolkepli, Navin Kumar Devaraj and Ahmad Sobri Muda and has published in prestigious journals such as IEEE Access, Sustainability and Heliyon.

In The Last Decade

Iskandar Ishak

38 papers receiving 304 citations

Peers

Iskandar Ishak

SPS

CVPR

RNMI

Wan Mohd Nazmee Wan Zainon Malaysia

Tanveer Ahmed India

Hemant Palivela India

Karthikeyan Kaliyaperumal Ethiopia

Adel A. Bahaddad Saudi Arabia

Saikat Gochhait India

Kawther Saeedi Saudi Arabia

Yidong Chai China

Russell Lock United Kingdom

Saravanakumar Kandasamy India

Wan Mohd Nazmee Wan Zainon Malaysia

Iskandar Ishak

252 ×1.9

101 ×1.3

33 ×0.6

SPS

116 ×2.4

CVPR

24 ×0.6

RNMI

Citations per year, relative to Iskandar Ishak Iskandar Ishak (= 1×) peers Wan Mohd Nazmee Wan Zainon

Countries citing papers authored by Iskandar Ishak

Since Specialization

Citations

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

Fields of papers citing papers by Iskandar Ishak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iskandar Ishak

This figure shows the co-authorship network connecting the top 25 collaborators of Iskandar Ishak. A scholar is included among the top collaborators of Iskandar Ishak 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 Iskandar Ishak. Iskandar Ishak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sidi, Fatimah, et al.. (2024). Challenges in Supervised and Unsupervised Learning: A Comprehensive Overview. International Journal on Advanced Science Engineering and Information Technology. 14(4). 1449–1455. 5 indexed citations

Ibrahim, Hamidah, et al.. (2024). A User Control Framework for Cloud Data Migration in Software as a Service. International Journal of Advanced Computer Science and Applications. 15(3).

Mustapha, Abdul Raufu, et al.. (2024). Application of machine learning approach on halal meat authentication principle, challenges, and prospects: A review. Heliyon. 10(12). e32189–e32189. 3 indexed citations

Sidi, Fatimah, et al.. (2024). Leveraging Data Lake Architecture for Predicting Academic Student Performance. International Journal on Advanced Science Engineering and Information Technology. 14(6). 2121–2129.

Ishak, Iskandar, et al.. (2024). Road Crash Injury Severity Prediction Using a Graph Neural Network Framework. IEEE Access. 12. 37540–37556. 5 indexed citations

Ishak, Iskandar, et al.. (2023). Deep Learning-Based Recommendation System: Systematic Review and Classification. IEEE Access. 11. 113790–113835. 18 indexed citations

Ishak, Iskandar, et al.. (2023). A Thematic Review on Predicting Student Performance Using Data Mining. International Journal of Academic Research in Business and Social Sciences. 13(11). 1 indexed citations

Sidi, Fatimah, et al.. (2023). AutoImpute: An Autonomous Web Tool for Data Imputation Based on Extremely Randomized Trees. 598–605.

Sidi, Fatimah, et al.. (2022). ExtraImpute: A Novel Machine Learning Method for Missing Data Imputation. Journal of Advances in Information Technology. 13(5). 5 indexed citations

10.

Ishak, Iskandar, et al.. (2022). A Review of Open Source Software Tools for Time Series Analysis. arXiv (Cornell University). 2 indexed citations

11.

Bukar, Umar Ali, et al.. (2022). A Multistage Analysis of Predicting Public Resilience of Impactful Social Media Crisis Communication in Flooding Emergencies. IEEE Access. 10. 57266–57282. 9 indexed citations

12.

Bukar, Umar Ali, et al.. (2022). Mobile Social Media Use in Flooding Emergencies: The Impact of Information Seeking and Sharing through Social Media Crisis Communication and Resilience Model. 51–56. 1 indexed citations

13.

Bukar, Umar Ali, et al.. (2021). How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation. Journal of Computational Social Science. 5(1). 781–809. 20 indexed citations

14.

Ishak, Iskandar, et al.. (2020). A Cloud-Based Distributed Platform for Secured EPUB EBOOK Contents. International Journal of Emerging Trends in Engineering Research. 8(10). 6630–6637. 1 indexed citations

15.

Ishak, Iskandar, et al.. (2019). Influencing Factors in Determining Research Data Repository Infrastructure for Research Data Management. International Journal of Engineering and Advanced Technology. 9(1). 1655–1660. 1 indexed citations

16.

Ishak, Iskandar, et al.. (2019). NetMob: A Mobile Application Development Framework with Enhanced Large Objects Access for Mobile Cloud Storage Service. International Journal of Advanced Computer Science and Applications. 10(7). 3 indexed citations

17.

Sidi, Fatimah, Iskandar Ishak, & Marzanah A. Jabar. (2018). MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents. International Journal of Electrical and Computer Engineering (IJECE). 8(1). 1–1. 4 indexed citations

18.

Ishak, Iskandar, et al.. (2018). A Review of Data Synchronization and Consistency Frameworks for Mobile Cloud Applications. International Journal of Advanced Computer Science and Applications. 9(12). 3 indexed citations

19.

Affendey, Lilly Suriani, et al.. (2017). Classification of Histopathology Images of Breast into Benign and Malignant using a Single-layer Convolutional Neural Network. 50–53. 36 indexed citations

20.

Ishak, Iskandar, Fatimah Sidi, & Marzanah A. Jabar. (2016). Object recognizer for organizing and structuring unstructured documents using Interrogative Knowledge. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 1 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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