Kamaldeep Kaur

409 total citations
28 papers, 231 citations indexed

About

Kamaldeep Kaur is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Kamaldeep Kaur has authored 28 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 18 papers in Software and 11 papers in Computer Networks and Communications. Recurrent topics in Kamaldeep Kaur's work include Software Reliability and Analysis Research (17 papers), Software Engineering Research (17 papers) and Software System Performance and Reliability (10 papers). Kamaldeep Kaur is often cited by papers focused on Software Reliability and Analysis Research (17 papers), Software Engineering Research (17 papers) and Software System Performance and Reliability (10 papers). Kamaldeep Kaur collaborates with scholars based in India and United States. Kamaldeep Kaur's co-authors include Arvinder Kaur, Ruchika Malhotra, Shilpi Jain, Parmeet Kaur, Sunil Kumar Khatri, Aditya Khamparia, Divya Anand, Ranjit Kaur, Navjot Kaur and Ashish Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Organic Chemistry and Applied Sciences.

In The Last Decade

Kamaldeep Kaur

25 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamaldeep Kaur India 10 178 158 95 44 11 28 231
Nyyti Saarimäki Finland 6 165 0.9× 99 0.6× 39 0.4× 23 0.5× 14 1.3× 15 200
Jean Petrić United Kingdom 8 307 1.7× 280 1.8× 103 1.1× 63 1.4× 8 0.7× 14 333
Aryaz Eghbali Germany 5 110 0.6× 107 0.7× 40 0.4× 55 1.3× 19 1.7× 7 190
Rahul Krishna United States 9 218 1.2× 154 1.0× 88 0.9× 89 2.0× 9 0.8× 24 271
Georg Buchgeher Austria 10 139 0.8× 43 0.3× 87 0.9× 97 2.2× 10 0.9× 31 201
Mei-Huei Tang United States 5 220 1.2× 203 1.3× 60 0.6× 49 1.1× 8 0.7× 15 253
Maen Hammad Jordan 10 302 1.7× 140 0.9× 99 1.0× 84 1.9× 38 3.5× 29 332
Bartosz Walter Poland 9 311 1.7× 180 1.1× 79 0.8× 64 1.5× 46 4.2× 31 331
Sashank Dara India 5 296 1.7× 240 1.5× 127 1.3× 86 2.0× 26 2.4× 11 335
Quanjun Zhang China 10 185 1.0× 179 1.1× 52 0.5× 76 1.7× 58 5.3× 37 303

Countries citing papers authored by Kamaldeep Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Kamaldeep Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamaldeep Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Kamaldeep Kaur. A scholar is included among the top collaborators of Kamaldeep Kaur 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 Kamaldeep Kaur. Kamaldeep Kaur 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.
2.
Kaur, Kamaldeep, et al.. (2024). Enhancing Plant Disease Detection using Advanced Deep Learning Models. Indian Journal of Science and Technology. 17(17). 1755–1766. 2 indexed citations
3.
Kaur, Kamaldeep, et al.. (2023). Aspect sentiment classification using syntactic neighbour based attention network. Journal of King Saud University - Computer and Information Sciences. 35(2). 612–625. 11 indexed citations
4.
Kaur, Kamaldeep, et al.. (2022). Recommendation of Regression Techniques for Software Maintainability Prediction With Multi-Criteria Decision-Making. International Journal of Information Technology & Decision Making. 22(3). 1061–1105. 5 indexed citations
5.
Kaur, Kamaldeep, et al.. (2022). MCDM- Based Framework to Solve Decision Making Problems in Software Engineering. 1–5. 5 indexed citations
6.
Kaur, Kamaldeep, et al.. (2021). Benchmarking Deep Learning Methods for Aspect Level Sentiment Classification. Applied Sciences. 11(22). 10542–10542. 10 indexed citations
7.
Kaur, Kamaldeep, et al.. (2020). Reproducibility of AOD Algorithm: An Experimental evaluation for Key-Predictors Identification. SHILAP Revista de lepidopterología. 7(20). 164099–164099. 1 indexed citations
8.
Kaur, Ranjit, Kamaldeep Kaur, Aditya Khamparia, & Divya Anand. (2019). An Improved and Adaptive Approach in ANFIS to Predict Knee Diseases. International Journal of Healthcare Information Systems and Informatics. 15(2). 22–37. 5 indexed citations
9.
Kaur, Kamaldeep, et al.. (2017). Evaluation of imbalanced learning with entropy of source code metrics as defect predictors. 403–409. 1 indexed citations
10.
Kaur, Kamaldeep & Parmeet Kaur. (2017). Evaluation of sampling techniques in software fault prediction using metrics and code smells. 1377–1387. 5 indexed citations
11.
Kaur, Arvinder, et al.. (2016). An empirical study of software entropy based bug prediction using machine learning. International Journal of Systems Assurance Engineering and Management. 8(S2). 599–616. 19 indexed citations
12.
Kaur, Arvinder, Kamaldeep Kaur, & Shilpi Jain. (2016). Predicting software change-proneness with code smells and class imbalance learning. 746–754. 10 indexed citations
13.
Kaur, Arvinder & Kamaldeep Kaur. (2016). Value and Applicability of Academic Projects Defect Datasets in Cross-Project Software Defect Prediction. 39. 154–159. 6 indexed citations
14.
Kaur, Kamaldeep, et al.. (2015). A Hybrid Approach of Fuzzy C-mean Clustering and Genetic Algorithm (GA) to Improve Intrusion Detection Rate. International Journal of Science and Research (IJSR). 5(5). 955–959. 1 indexed citations
15.
Kaur, Arvinder & Kamaldeep Kaur. (2014). Performance analysis of ensemble learning for predicting defects in open source software. 219–225. 19 indexed citations
16.
Kaur, Arvinder, et al.. (2014). Software maintainability prediction by data mining of software code metrics. 1–6. 15 indexed citations
17.
Kaur, Arvinder & Kamaldeep Kaur. (2013). STATISTICAL COMPARISON OF MODELLING METHODS FOR SOFTWARE MAINTAINABILITY PREDICTION. International Journal of Software Engineering and Knowledge Engineering. 23(6). 743–774. 34 indexed citations
18.
Kaur, Kamaldeep. (2011). Cleanroom Software Engineering: Towards High-Reliability Software.
19.
Kaur, Arvinder, Kamaldeep Kaur, & Ruchika Malhotra. (2010). Soft Computing Approaches for Prediction of Software Maintenance Effort. International Journal of Computer Applications. 1(16). 80–86. 41 indexed citations
20.
Kaur, Kamaldeep, Arvinder Kaur, & Ruchika Malhotra. (2008). Alternative Methods To Rank The Impact Of Object Oriented Metrics In Fault Prediction Modeling Using Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 2(7). 2460–2465. 5 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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