Najeeb Ullah

533 total citations
26 papers, 284 citations indexed

About

Najeeb Ullah is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Najeeb Ullah has authored 26 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Najeeb Ullah's work include Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers) and Reliability and Maintenance Optimization (5 papers). Najeeb Ullah is often cited by papers focused on Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers) and Reliability and Maintenance Optimization (5 papers). Najeeb Ullah collaborates with scholars based in Pakistan, Malaysia and Italy. Najeeb Ullah's co-authors include Maurizio Morisio, Sikandar Ali, Muhammad Usman, Antonio Vetrò, Muhammad Faisal Abrar, Ali Samad, Sajid Ullah Khan, Imran Ahmed, Irshad Ahmad and Dan Pan and has published in prestigious journals such as Scientific Reports, IEEE Access and Computer.

In The Last Decade

Najeeb Ullah

25 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Najeeb Ullah Pakistan	8	85	84	75	60	47	26	284
Lucas Amorim Brazil	4	57 0.7×	43 0.5×	14 0.2×	62 1.0×	29 0.6×	8	236
Ali Samad Pakistan	8	38 0.4×	11 0.1×	103 1.4×	96 1.6×	42 0.9×	19	263
Zuhaira Muhammad Zain Saudi Arabia	6	64 0.8×	26 0.3×	51 0.7×	191 3.2×	68 1.4×	18	303
Somya Goyal India	10	214 2.5×	186 2.2×	21 0.3×	97 1.6×	14 0.3×	28	309
Youcef Gheraibia United Kingdom	7	67 0.8×	22 0.3×	5 0.1×	55 0.9×	6 0.1×	15	202
Vinay Arora India	11	83 1.0×	32 0.4×	3 0.0×	108 1.8×	75 1.6×	41	355
Kailas Devadkar India	6	75 0.9×	10 0.1×	166 2.2×	141 2.4×	39 0.8×	30	349
Rashi Kohli India	8	50 0.6×	13 0.2×	9 0.1×	63 1.1×	15 0.3×	16	205
Mohammed Amine Chikh Algeria	10	60 0.7×	7 0.1×	36 0.5×	138 2.3×	46 1.0×	34	279
Sallauddin Mohmmad India	7	44 0.5×	2 0.0×	53 0.7×	51 0.8×	19 0.4×	37	221

Countries citing papers authored by Najeeb Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Najeeb Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Najeeb Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Najeeb Ullah. A scholar is included among the top collaborators of Najeeb Ullah 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 Najeeb Ullah. Najeeb Ullah 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

Ullah, Najeeb, et al.. (2024). The Role of Artificial Intelligence (AI) In Transforming Educational Practices: Opportunities, Challenges, and Implications. Zenodo (CERN European Organization for Nuclear Research). 5(2). 348–359. 5 indexed citations

Ullah, Rezwan, et al.. (2024). Unlocking Employees Creative Potential: The Role of Self-Efficacy and Innovation in Sustainability. 2(2). 255–264. 1 indexed citations

Ahmad, Shafiq, et al.. (2023). A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning. IEEE Access. 11. 63579–63597. 18 indexed citations

Khan, Sajid Ullah, et al.. (2023). A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19). Scientific Reports. 13(1). 6601–6601. 6 indexed citations

Zeng, An, Wen Xie, Jin Hong, et al.. (2023). ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images. Computerized Medical Imaging and Graphics. 109. 102287–102287. 37 indexed citations

Yousif, Muhammad, et al.. (2023). Monitoring Transient Stability in Electric Power Systems Using a Hybrid Model of Convolutional Neural Network and Random Forest. Electric Power Components and Systems. 52(6). 946–958.

Usman, Muhammad, et al.. (2022). A Method for Improving Prediction of Human Heart Disease Using Machine Learning Algorithms. Mobile Information Systems. 2022. 1–9. 85 indexed citations

Abrar, Muhammad Faisal, et al.. (2021). Freelancing as an alternative Market for software Professionals in Pakistan. VFAST Transactions on Software Engineering. 9(3). 78–92. 1 indexed citations

Usman, Muhammad, et al.. (2021). Scaling Agile Adoption Motivators from Management Perspective: An Analytical Hierarchy Process Approach. Scientific Programming. 2021. 1–16. 5 indexed citations

10.

Khan, Imran Ullah, et al.. (2019). Directional weighted spatial fuzzy C-means for segmentation of brain MRI images. Journal of X-Ray Science and Technology. 27(6). 1087–1099. 4 indexed citations

11.

Ahmed, Sheeraz, et al.. (2018). Congestion Control Reliability and Adaptive Cooperation for Efficient Underwater Sensor Networks. ICST Transactions on Scalable Information Systems. 5(16). 154470–154470. 2 indexed citations

12.

Iqbal, Shahid, Najeeb Ullah, & Ahsan Ali. (2018). Effect of Maximum Aggregate Size on the Bond Strength of Reinforcements in Concrete. Engineering Technology & Applied Science Research. 8(3). 2892–2896. 4 indexed citations

13.

Rahim, Muhammad, et al.. (2017). AnyCasting In Dual Sink Approach (ACIDS) for WBASNs. International Journal of Advanced Computer Science and Applications. 8(3). 4 indexed citations

14.

Khan, Sajid Ullah, et al.. (2017). MRI Images Enhancement Using Genetic Programming Based Hybrid Noise Removal Filter Approach. Current Medical Imaging Formerly Current Medical Imaging Reviews. 14(6). 867–873. 4 indexed citations

15.

Ullah, Najeeb, et al.. (2017). Path-Loss and Energy Efficient Model (PLEEM) for wireless body area networks (WBANs). 51. 1–6. 6 indexed citations

16.

Ullah, Najeeb, et al.. (2016). Impulse noise reduction using image fusion approach. 15. 261–264. 3 indexed citations

17.

Ullah, Najeeb & Jungchul Lee. (2014). Development of a Music Score Editor based on MusicXML. Journal of the Korea Society of Computer and Information. 19(2). 77–90. 2 indexed citations

18.

Ullah, Najeeb, Maurizio Morisio, & Antonio Vetrò. (2014). Selecting the Best Reliability Model to Predict Residual Defects in Open Source Software. Computer. 48(6). 50–58. 12 indexed citations

19.

Ullah, Najeeb. (2014). A method for predicting open source software residual defects. Software Quality Journal. 23(1). 55–76. 13 indexed citations

20.

Ullah, Najeeb & Maurizio Morisio. (2012). An Empirical Study of Reliability Growth of Open versus Closed Source Software through Software Reliability Growth Models. 53. 356–361. 7 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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