Ganesh Kumar

710 total citations · 1 hit paper
18 papers, 342 citations indexed

About

Ganesh Kumar is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Ganesh Kumar has authored 18 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 6 papers in Artificial Intelligence and 6 papers in Software. Recurrent topics in Ganesh Kumar's work include Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers) and Software Engineering Techniques and Practices (3 papers). Ganesh Kumar is often cited by papers focused on Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers) and Software Engineering Techniques and Practices (3 papers). Ganesh Kumar collaborates with scholars based in Malaysia, Nigeria and Canada. Ganesh Kumar's co-authors include Abdullahi Abubakar Imam, Abdullateef Oluwagbemiga Balogun, Shuib Basri, Saipunidzam Mahamad, Luiz Fernando Capretz, Bashir Abubakar Abdulkadir, Muhammad Abdulkarim, Aliyu Nuhu Shuaibu, Mohammed Abdullahi and Aliyu Garba and has published in prestigious journals such as IEEE Access, Applied Sciences and Electronics.

In The Last Decade

Ganesh Kumar

17 papers receiving 323 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.

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey

2022 121 citations Abdullahi Abubakar Imam, Abdullateef Oluwagbemiga Balogun et al. Healthcare profile →

Peers

Ganesh Kumar

SOFTW

CNC

Abdullahi Abubakar Imam Nigeria

Zahra Shakeri Hossein Abad Canada

Danilo F. S. Santos Brazil

Mark D. Syer Canada

Leandro Dias da Silva Brazil

Boudhir Anouar Abdelhakim Morocco

Abhishek Pandey India

Farrukh Nadeem Saudi Arabia

Wadha Labda Qatar

Mahtab J. Fard United States

Abdullahi Abubakar Imam Nigeria

Ganesh Kumar

181 ×2.0

92 ×1.5

49 ×1.0

87 ×1.7

SOFTW

112 ×2.3

CNC

Citations per year, relative to Ganesh Kumar Ganesh Kumar (= 1×) peers Abdullahi Abubakar Imam

Countries citing papers authored by Ganesh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Ganesh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Kumar

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Basri, Shuib, et al.. (2024). BiasTrap: Runtime Detection of Biased Prediction in Machine Learning Systems. Journal of Advanced Research in Applied Sciences and Engineering Technology. 40(2). 127–139.

Kumar, Ganesh, Abdullahi Abubakar Imam, Shuib Basri, et al.. (2024). Ensemble Balanced Nested Dichotomy Fuzzy Models for Software Requirement Risk Prediction. IEEE Access. 12. 146225–146243. 1 indexed citations

Ajibade, Samuel-Soma M., et al.. (2024). Application of Artificial Intelligence in Malignant Tumors: A Science Mapping Analysis. 102–107. 1 indexed citations

Balogun, Abdullateef Oluwagbemiga, Shuib Basri, Luiz Fernando Capretz, et al.. (2023). Software Requirement Risk Prediction Using Enhanced Fuzzy Induction Models. Electronics. 12(18). 3805–3805. 5 indexed citations

Basri, Shuib, et al.. (2023). Search-Based Fairness Testing: An Overview. 89–94. 2 indexed citations

Basri, Shuib, et al.. (2023). Current Trend of Software Requirement Engineering Process in IT Small and Medium Enterprises (SMEs)-A Systematic Literature Review. 82–87. 1 indexed citations

Imam, Abdullahi Abubakar, Muhammad Abdulkarim, Abdullateef Oluwagbemiga Balogun, et al.. (2022). Recent Advances in Artificial Intelligence and Wearable Sensors in Healthcare Delivery. Applied Sciences. 12(20). 10271–10271. 45 indexed citations

Imam, Abdullahi Abubakar, Aliyu Nuhu Shuaibu, Shuib Basri, et al.. (2022). Artificial Intelligence, Sensors and Vital Health Signs: A Review. Applied Sciences. 12(22). 11475–11475. 10 indexed citations

Zakaria, Nordin, et al.. (2022). Analysis of Deep Learning Techniques for Dental Informatics: A Systematic Literature Review. Healthcare. 10(10). 1892–1892. 32 indexed citations

10.

Imam, Abdullahi Abubakar, et al.. (2022). NoInjection: Preventing Unsafe Queries on NoSQL-Document-model Databases. 243–247. 2 indexed citations

11.

Imam, Abdullahi Abubakar, Abdullateef Oluwagbemiga Balogun, Liyanage C. De Silva, et al.. (2022). Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey. Healthcare. 10(10). 1940–1940. 121 indexed citations breakdown →

12.

Afzal, Hammad, et al.. (2021). Identification of HATE speech tweets in Pashto language using Machine Learning techniques. International Journal of Advanced Trends in Computer Science and Engineering. 10(3). 1501–1508. 2 indexed citations

13.

Balogun, Abdullateef Oluwagbemiga, Shuib Basri, Saipunidzam Mahamad, et al.. (2021). Empirical Analysis of Rank Aggregation-Based Multi-Filter Feature Selection Methods in Software Defect Prediction. Electronics. 10(2). 179–179. 24 indexed citations

14.

Balogun, Abdullateef Oluwagbemiga, Shuib Basri, Luiz Fernando Capretz, et al.. (2021). Software Defect Prediction Using Wrapper Feature Selection Based on Dynamic Re-Ranking Strategy. Symmetry. 13(11). 2166–2166. 18 indexed citations

15.

Balogun, Abdullateef Oluwagbemiga, Shuib Basri, Saipunidzam Mahamad, et al.. (2021). A Novel Rank Aggregation‐Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction. Computational Intelligence and Neuroscience. 2021(1). 5069016–5069016. 16 indexed citations

16.

Balogun, Abdullateef Oluwagbemiga, Shuib Basri, Luiz Fernando Capretz, et al.. (2021). An Adaptive Rank Aggregation-Based Ensemble Multi-Filter Feature Selection Method in Software Defect Prediction. Entropy. 23(10). 1274–1274. 21 indexed citations

17.

Kumar, Ganesh, Shuib Basri, Abdullahi Abubakar Imam, et al.. (2021). Data Harmonization for Heterogeneous Datasets: A Systematic Literature Review. Applied Sciences. 11(17). 8275–8275. 40 indexed citations

18.

Kumar, Ganesh, et al.. (2017). Mammogram Classification Based Onk-Nearest Neighbor Classifier. Indian Journal of Public Health Research & Development. 8(3s). 83–83. 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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