Sameem Abdul Kareem

2.8k total citations
104 papers, 1.7k citations indexed

About

Sameem Abdul Kareem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sameem Abdul Kareem has authored 104 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 17 papers in Information Systems. Recurrent topics in Sameem Abdul Kareem's work include Semantic Web and Ontologies (13 papers), AI in cancer detection (11 papers) and Advanced Database Systems and Queries (10 papers). Sameem Abdul Kareem is often cited by papers focused on Semantic Web and Ontologies (13 papers), AI in cancer detection (11 papers) and Advanced Database Systems and Queries (10 papers). Sameem Abdul Kareem collaborates with scholars based in Malaysia, Pakistan and Nigeria. Sameem Abdul Kareem's co-authors include Haruna Chiroma, Tutut Herawan, Siow‐Wee Chang, Hany Ariffin, Rosnah Binti Zain, Hwa Jen Yap, Ram Gopal Raj, Amir Feisal Merican, Kien‐Thai Yong and Maizatul Akmar Ismail and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Energy.

In The Last Decade

Sameem Abdul Kareem

99 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sameem Abdul Kareem Malaysia 23 614 500 266 204 158 104 1.7k
Jyotir Moy Chatterjee India 19 590 1.0× 279 0.6× 430 1.6× 422 2.1× 97 0.6× 68 2.2k
Aun Irtaza Pakistan 27 789 1.3× 1.2k 2.5× 362 1.4× 60 0.3× 87 0.6× 101 2.5k
Prashant Kumar Shukla India 26 573 0.9× 272 0.5× 374 1.4× 100 0.5× 20 0.1× 91 2.4k
Sami Bourouis Saudi Arabia 29 845 1.4× 596 1.2× 249 0.9× 67 0.3× 37 0.2× 110 2.5k
Mohd Shafry Mohd Rahim Malaysia 28 627 1.0× 1.1k 2.2× 376 1.4× 120 0.6× 22 0.1× 156 2.2k
Muhammad Umer Pakistan 30 1.1k 1.8× 324 0.6× 353 1.3× 111 0.5× 24 0.2× 115 2.5k
M. Irfan Uddin Pakistan 25 784 1.3× 425 0.8× 275 1.0× 64 0.3× 44 0.3× 130 2.2k
Jana Shafi Saudi Arabia 25 457 0.7× 262 0.5× 173 0.7× 76 0.4× 24 0.2× 89 1.7k
Piyush Kumar Shukla India 30 842 1.4× 515 1.0× 455 1.7× 108 0.5× 32 0.2× 181 2.8k
Manoj Kumar India 31 726 1.2× 683 1.4× 167 0.6× 108 0.5× 30 0.2× 236 3.0k

Countries citing papers authored by Sameem Abdul Kareem

Since Specialization
Citations

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

Fields of papers citing papers by Sameem Abdul Kareem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameem Abdul Kareem. 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 Sameem Abdul Kareem. The network helps show where Sameem Abdul Kareem may publish in the future.

Co-authorship network of co-authors of Sameem Abdul Kareem

This figure shows the co-authorship network connecting the top 25 collaborators of Sameem Abdul Kareem. A scholar is included among the top collaborators of Sameem Abdul Kareem 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 Sameem Abdul Kareem. Sameem Abdul Kareem 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.
Farnaghi, Mahdi, et al.. (2025). Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases. Geospatial health. 20(1). 2 indexed citations
2.
Kareem, Sameem Abdul, et al.. (2024). Integrating color histogram analysis and convolutional neural networks for skin lesion classification. Computers in Biology and Medicine. 183. 109250–109250. 4 indexed citations
3.
Kareem, Sameem Abdul, et al.. (2024). Asymmetric lesion detection with geometric patterns and CNN-SVM classification. Computers in Biology and Medicine. 179. 108851–108851. 3 indexed citations
4.
Kareem, Sameem Abdul, et al.. (2024). Pigment network detection and classification in dermoscopic images using directional imaging algorithms and convolutional neural networks. Biomedical Signal Processing and Control. 99. 106883–106883.
5.
Kareem, Sameem Abdul, et al.. (2024). Bluish veil detection and lesion classification using custom deep learnable layers with explainable artificial intelligence (XAI). Computers in Biology and Medicine. 178. 108758–108758. 4 indexed citations
6.
Bulgiba, Awang, et al.. (2024). Deciphering Abbreviations in Malaysian Clinical Notes Using Machine Learning. Methods of Information in Medicine. 63(05/06). 195–202. 1 indexed citations
7.
Mahmud, Rohana, et al.. (2022). Feature Selection for Location Metonymy Using Augmented Bag-of-Words. IEEE Access. 10. 81777–81786. 2 indexed citations
8.
Chiroma, Haruna & Sameem Abdul Kareem. (2016). Neuro-genetic model for crude oil price prediction while considering the impact of uncertainties. International Journal of Oil Gas and Coal Technology. 6 indexed citations
9.
Kareem, Sameem Abdul, et al.. (2015). A fuzzy logic decision support system for assessing clinical nutritional risk. SHILAP Revista de lepidopterología. 4 indexed citations
10.
Chang, Siow‐Wee, Sameem Abdul Kareem, Amir Feisal Merican, & Rosnah Binti Zain. (2014). A Hybrid Prognostic Model for Oral Cancer based on Clinicopathologic and Genomic Markers. Sains Malaysiana. 43(4). 2 indexed citations
11.
Chang, Siow‐Wee, Sameem Abdul Kareem, Amir Feisal Merican, & Rosnah Binti Zain. (2013). Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods. BMC Bioinformatics. 14(1). 170–170. 114 indexed citations
12.
Zainuddin, Roziati, et al.. (2013). DETECTING FACES IN COLORED IMAGES USING MULTI-SKIN COLOR MODELS AND NEURAL NETWORK WITH TEXTURE ANALYSIS. Malaysian Journal of Computer Science. 26(2). 101–123. 1 indexed citations
13.
Ismail, Maizatul Akmar, et al.. (2012). Support System for Novice Researchers (SSNR): Usability Evaluation of the First Use. The International Arab Journal of Information Technology. 9(4). 361–367. 2 indexed citations
14.
Raj, Ram Gopal & Sameem Abdul Kareem. (2011). A PATTERN BASED APPROACH FOR THE DERIVATION OF BASE FORMS OF VERBS FROM PARTICIPLES AND TENSES FOR FLEXIBLE NLP. Malaysian Journal of Computer Science. 24(2). 63–72. 16 indexed citations
15.
Ismail, Maizatul Akmar & Sameem Abdul Kareem. (2011). Identifying how novice researchers search, locate, choose and use web resources at the early stage of research. Malaysian Journal of Library & Information Science. 16(3). 67–85. 13 indexed citations
16.
Ismail, Maizatul Akmar, et al.. (2008). Semantic Support Environment for Research Activity.. 美中教育评论. 5(1). 36–51. 6 indexed citations
17.
Barnaghi, Payam & Sameem Abdul Kareem. (2007). Relation Robustness Evaluation for the Semantic Associations. Electronic Journal of Knowledge Management. 5(3). 2 indexed citations
18.
19.
Kareem, Sameem Abdul, et al.. (2005). The application of genetic algorithm (GA) and a hybrid method on the prediction of the survival of NPC. 1035–1052. 1 indexed citations
20.
Kareem, Sameem Abdul, et al.. (2005). Variable Selection and Data Preprocessing for Neural Network Models. 915–922. 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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