K. I. Mohammed

2.9k total citations · 2 hit papers
23 papers, 2.1k citations indexed

About

K. I. Mohammed is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Health Information Management. According to data from OpenAlex, K. I. Mohammed has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Information Systems and 7 papers in Health Information Management. Recurrent topics in K. I. Mohammed's work include Artificial Intelligence in Healthcare (6 papers), User Authentication and Security Systems (6 papers) and Biometric Identification and Security (5 papers). K. I. Mohammed is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), User Authentication and Security Systems (6 papers) and Biometric Identification and Security (5 papers). K. I. Mohammed collaborates with scholars based in Malaysia, Iraq and Jordan. K. I. Mohammed's co-authors include A. A. Zaidan, B. B. Zaidan, A. S. Albahri, O. S. Albahri, M. A. Alsalem, A. H. Alamoodi, A. H. Mohsin, E. M. Almahdi, Mohammed Hashim and M.A. Chyad and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computer Methods and Programs in Biomedicine.

In The Last Decade

K. I. Mohammed

22 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review

2020 261 citations A. H. Alamoodi, B. B. Zaidan et al. Expert Systems with Applications profile →
Telehealth utilization during the Covid-19 pandemic: A systematic review

2021 242 citations Salem Garfan, A. H. Alamoodi et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. I. Mohammed Malaysia	22	519	440	413	306	279	23	2.1k
Feipei Lai Taiwan	30	774 1.5×	542 1.2×	720 1.7×	305 1.0×	184 0.7×	293	3.5k
Sharnil Pandya India	28	1.0k 2.0×	411 0.9×	590 1.4×	427 1.4×	242 0.9×	61	2.8k
M. A. Alsalem Malaysia	38	682 1.3×	709 1.6×	710 1.7×	525 1.7×	354 1.3×	46	3.1k
A. H. Alamoodi Iraq	35	1.2k 2.3×	560 1.3×	564 1.4×	342 1.1×	530 1.9×	102	4.3k
Wei Luo China	25	763 1.5×	515 1.2×	384 0.9×	357 1.2×	217 0.8×	145	3.0k
Surbhi Bhatia Saudi Arabia	29	846 1.6×	529 1.2×	450 1.1×	338 1.1×	229 0.8×	192	2.7k
Atta Rahman Saudi Arabia	28	761 1.5×	389 0.9×	540 1.3×	328 1.1×	289 1.0×	163	2.4k
Peter Haddawy Thailand	30	1.0k 2.0×	324 0.7×	192 0.5×	199 0.7×	132 0.5×	146	2.6k
Ashish Gupta United States	26	589 1.1×	337 0.8×	127 0.3×	219 0.7×	208 0.7×	89	2.9k
José Luis Fernández‐Alemán Spain	27	696 1.3×	916 2.1×	235 0.6×	201 0.7×	112 0.4×	135	3.6k

Countries citing papers authored by K. I. Mohammed

Since Specialization

Citations

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

Fields of papers citing papers by K. I. Mohammed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. I. Mohammed. 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 K. I. Mohammed. The network helps show where K. I. Mohammed may publish in the future.

Co-authorship network of co-authors of K. I. Mohammed

This figure shows the co-authorship network connecting the top 25 collaborators of K. I. Mohammed. A scholar is included among the top collaborators of K. I. Mohammed 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 K. I. Mohammed. K. I. Mohammed 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

Mohammed, K. I.. (2024). LLM-driven automation in vulnerability management. 12(1). 30–51.

Garfan, Salem, A. H. Alamoodi, B. B. Zaidan, et al.. (2021). Telehealth utilization during the Covid-19 pandemic: A systematic review. Computers in Biology and Medicine. 138. 104878–104878. 242 indexed citations breakdown →

Mohsin, A. H., A. A. Zaidan, B. B. Zaidan, et al.. (2021). PSO–Blockchain-based image steganography: towards a new method to secure updating and sharing COVID-19 data in decentralised hospitals intelligence architecture. Multimedia Tools and Applications. 80(9). 14137–14161. 39 indexed citations

Mohammed, K. I., Jafreezal Jaafar, A. A. Zaidan, et al.. (2020). A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated From Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method. IEEE Access. 8. 91521–91530. 56 indexed citations

Mohsin, A. H., M. J. Baqer, A. H. Alamoodi, et al.. (2020). Finger Vein Biometrics: Taxonomy Analysis, Open Challenges, Future Directions, and Recommended Solution for Decentralised Network Architectures. IEEE Access. 8. 9821–9845. 41 indexed citations

Albahri, A. S., Rula A. Hamid, Jwan K. Alwan, et al.. (2020). Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review. Journal of Medical Systems. 44(7). 122–122. 201 indexed citations

Alamoodi, A. H., B. B. Zaidan, A. A. Zaidan, et al.. (2020). Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert Systems with Applications. 167. 114155–114155. 261 indexed citations breakdown →

Talal, Mohammed, A. A. Zaidan, B. B. Zaidan, et al.. (2019). Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review. Journal of Medical Systems. 43(3). 42–42. 172 indexed citations

Mohammed, K. I., A. A. Zaidan, B. B. Zaidan, et al.. (2019). Novel technique for reorganisation of opinion order to interval levels for solving several instances representing prioritisation in patients with multiple chronic diseases. Computer Methods and Programs in Biomedicine. 185. 105151–105151. 57 indexed citations

10.

Mohsin, A. H., A. A. Zaidan, B. B. Zaidan, et al.. (2019). Based Medical Systems for Patient’s Authentication: Towards a New Verification Secure Framework Using CIA Standard. Journal of Medical Systems. 43(7). 192–192. 37 indexed citations

11.

Mohammed, K. I., A. A. Zaidan, B. B. Zaidan, et al.. (2019). Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure. Journal of Medical Systems. 43(7). 223–223. 119 indexed citations

12.

Mohsin, A. H., A. A. Zaidan, B. B. Zaidan, et al.. (2019). Based blockchain-PSO-AES techniques in finger vein biometrics: A novel verification secure framework for patient authentication. Computer Standards & Interfaces. 66. 103343–103343. 62 indexed citations

13.

Albahri, A. S., O. S. Albahri, A. A. Zaidan, et al.. (2019). Based Multiple Heterogeneous Wearable Sensors: A Smart Real-Time Health Monitoring Structured for Hospitals Distributor. IEEE Access. 7. 37269–37323. 79 indexed citations

14.

Albahri, O. S., A. S. Albahri, A. A. Zaidan, et al.. (2019). Fault-Tolerant mHealth Framework in the Context of IoT-Based Real-Time Wearable Health Data Sensors. IEEE Access. 7. 50052–50080. 98 indexed citations

15.

Alsalem, M. A., A. A. Zaidan, B. B. Zaidan, et al.. (2019). Multiclass Benchmarking Framework for Automated Acute Leukaemia Detection and Classification Based on BWM and Group-VIKOR. Journal of Medical Systems. 43(7). 73 indexed citations

16.

Albahri, O. S., A. S. Albahri, K. I. Mohammed, et al.. (2018). Systematic Review of Real-time Remote Health Monitoring System in Triage and Priority-Based Sensor Technology: Taxonomy, Open Challenges, Motivation and Recommendations. Journal of Medical Systems. 42(5). 80–80. 152 indexed citations

17.

Mohsin, A. H., A. A. Zaidan, B. B. Zaidan, et al.. (2018). Real-Time Remote Health Monitoring Systems Using Body Sensor Information and Finger Vein Biometric Verification: A Multi-Layer Systematic Review. Journal of Medical Systems. 42(12). 238–238. 49 indexed citations

18.

Mohsin, A. H., A. A. Zaidan, B. B. Zaidan, et al.. (2018). Real-Time Medical Systems Based on Human Biometric Steganography: a Systematic Review. Journal of Medical Systems. 42(12). 245–245. 46 indexed citations

19.

Mohsin, A. H., A. A. Zaidan, B. B. Zaidan, et al.. (2018). Blockchain authentication of network applications: Taxonomy, classification, capabilities, open challenges, motivations, recommendations and future directions. Computer Standards & Interfaces. 64. 41–60. 98 indexed citations

20.

Alsalem, M. A., A. A. Zaidan, B. B. Zaidan, et al.. (2018). Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological Aspects. Journal of Medical Systems. 42(11). 204–204. 102 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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