Rashid Naseem

1.1k total citations
31 papers, 654 citations indexed

About

Rashid Naseem is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Rashid Naseem has authored 31 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 11 papers in Artificial Intelligence and 10 papers in Software. Recurrent topics in Rashid Naseem's work include Software Engineering Research (15 papers), Software Reliability and Analysis Research (8 papers) and Software System Performance and Reliability (7 papers). Rashid Naseem is often cited by papers focused on Software Engineering Research (15 papers), Software Reliability and Analysis Research (8 papers) and Software System Performance and Reliability (7 papers). Rashid Naseem collaborates with scholars based in Pakistan, Malaysia and Saudi Arabia. Rashid Naseem's co-authors include Bilal Khan, Onaiza Maqbool, Mohd Najib Mohd Salleh, Kashif Hussain, Shi Cheng, Mustafa Mat Deris, Muhammad Arif Shah, Fazal Muhammad, Sunghwan Kim and Ghulam Abbas and has published in prestigious journals such as IEEE Access, Artificial Intelligence Review and Journal of Systems and Software.

In The Last Decade

Rashid Naseem

28 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashid Naseem Pakistan 16 295 266 148 134 120 31 654
Manjari Gupta India 14 298 1.0× 252 0.9× 145 1.0× 81 0.6× 106 0.9× 68 783
Md. Monirul Islam India 5 706 2.4× 96 0.4× 32 0.2× 36 0.3× 76 0.6× 13 861
G. Narsimha India 12 213 0.7× 121 0.5× 29 0.2× 232 1.7× 88 0.7× 69 531
Andrew J. Novobilski United States 5 285 1.0× 202 0.8× 105 0.7× 189 1.4× 11 0.1× 11 647
Márcio P. Basgalupp Brazil 14 452 1.5× 213 0.8× 56 0.4× 34 0.3× 21 0.2× 45 696
S. Kanmani India 12 311 1.1× 392 1.5× 223 1.5× 136 1.0× 14 0.1× 62 761
Elpida Keravnou Cyprus 15 384 1.3× 117 0.4× 11 0.1× 94 0.7× 81 0.7× 42 577
Chhabi Rani Panigrahi India 15 113 0.4× 205 0.8× 56 0.4× 311 2.3× 14 0.1× 72 612
Nadim Obeid Jordan 14 400 1.4× 182 0.7× 7 0.0× 51 0.4× 64 0.5× 61 651
Zahoor Ur Rehman Pakistan 11 137 0.5× 81 0.3× 23 0.2× 203 1.5× 11 0.1× 24 509

Countries citing papers authored by Rashid Naseem

Since Specialization
Citations

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

Fields of papers citing papers by Rashid Naseem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashid Naseem

This figure shows the co-authorship network connecting the top 25 collaborators of Rashid Naseem. A scholar is included among the top collaborators of Rashid Naseem 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 Rashid Naseem. Rashid Naseem 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.
Saleem, Kashif, et al.. (2023). Bug Prioritization Using Average One Dependence Estimator. Intelligent Automation & Soft Computing. 36(3). 3517–3533.
2.
Khan, Bilal, Rashid Naseem, Iftikhar Alam, et al.. (2022). Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements. IEEE Access. 10. 98220–98231. 6 indexed citations
3.
Muhammad, Fazal, Bilal Khan, Rashid Naseem, et al.. (2022). Liver Ailment Prediction Using Random Forest Model. Computers, materials & continua/Computers, materials & continua (Print). 74(1). 1049–1067. 6 indexed citations
4.
Naseem, Rashid, Muhammad Irfan, Muhammad Arif Shah, et al.. (2021). Empirical Assessment of Machine Learning Techniques for Software Requirements Risk Prediction. Electronics. 10(2). 168–168. 24 indexed citations
5.
Zhang, Huaping, et al.. (2021). ABioNER: A BERT‐Based Model for Arabic Biomedical Named‐Entity Recognition. Complexity. 2021(1). 31 indexed citations
6.
Naseem, Rashid, et al.. (2020). Determining Bug Prioritization Using Feature Reduction and Clustering With Classification. IEEE Access. 8. 215661–215678. 11 indexed citations
7.
Khan, Bilal, Rashid Naseem, Muhammad Binsawad, Muzammil Khan, & Arshad Ahmad. (2020). Software Cost Estimation Using Flower Pollination Algorithm. 網際網路技術學刊. 21(5). 1243–1251. 7 indexed citations
8.
Naseem, Rashid, Bilal Khan, Muhammad Arif Shah, et al.. (2020). Performance Assessment of Classification Algorithms on Early Detection of Liver Syndrome. Journal of Healthcare Engineering. 2020. 1–13. 31 indexed citations
9.
Aamir, Muhammad, Nazri Mohd Nawi, Hairulnizam Mahdin, Rashid Naseem, & Muhammad Zulqarnain. (2020). Auto-Encoder Variants for Solving Handwritten Digits Classification Problem. International Journal of Fuzzy Logic and Intelligent Systems. 20(1). 8–16. 10 indexed citations
10.
Naseem, Rashid, Bilal Khan, Arshad Ahmad, et al.. (2020). Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects. Complexity. 2020. 1–21. 18 indexed citations
11.
Khan, Bilal, et al.. (2019). Machine Learning Approaches for Liver Disease Diagnosing. 1(1). 27–31. 21 indexed citations
12.
Iqbal, Zafar, et al.. (2019). Fetal Heart Rate Classification and Comparative Analysis Using Cardiotocography Data and Known Classifiers. International Journal of Grid and Distributed Computing. 12(1). 31–42. 19 indexed citations
13.
Naseem, Rashid, et al.. (2018). A Dataset for Software Requirements Risk Prediction. 112–118. 20 indexed citations
14.
Hussain, Kashif, Mohd Najib Mohd Salleh, Shi Cheng, Yuhui Shi, & Rashid Naseem. (2018). Artificial bee colony algorithm: A component-wise analysis using diversity measurement. Journal of King Saud University - Computer and Information Sciences. 32(7). 794–808. 26 indexed citations
15.
Naseem, Rashid, et al.. (2017). Improved binary similarity measures for software modularization. Frontiers of Information Technology & Electronic Engineering. 18(8). 1082–1107. 5 indexed citations
16.
Uddin, Jamal, Rozaida Ghazali, Mustafa Mat Deris, Rashid Naseem, & Habib Shah. (2016). A survey on bug prioritization. Artificial Intelligence Review. 47(2). 145–180. 69 indexed citations
17.
Naseem, Rashid, et al.. (2014). Software modularization using Combination of Multiple Clustering. 8. 277–281. 3 indexed citations
18.
Naseem, Rashid, et al.. (2013). Cooperative clustering for software modularization. Journal of Systems and Software. 86(8). 2045–2062. 40 indexed citations
19.
20.
Naseem, Rashid, et al.. (2011). Improved Similarity Measures for Software Clustering. 45–54. 27 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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