Lov Kumar

1.1k total citations
73 papers, 615 citations indexed

About

Lov Kumar is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Lov Kumar has authored 73 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Information Systems, 44 papers in Software and 30 papers in Computer Networks and Communications. Recurrent topics in Lov Kumar's work include Software Engineering Research (52 papers), Software Reliability and Analysis Research (41 papers) and Software System Performance and Reliability (26 papers). Lov Kumar is often cited by papers focused on Software Engineering Research (52 papers), Software Reliability and Analysis Research (41 papers) and Software System Performance and Reliability (26 papers). Lov Kumar collaborates with scholars based in India, Australia and Norway. Lov Kumar's co-authors include Santanu Kumar Rath, Ashish Sureka, Sanjay Misra, Lalita Bhanu Murthy Neti, Aneesh Krishna, Shashank Mouli Satapathy, Mukesh Kumar, Durga Prasad Mohapatra, Chittaranjan Hota and Ricardo Colomo‐Palacios and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Lov Kumar

67 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lov Kumar India 14 461 385 230 108 73 73 615
Om Prakash Sangwan India 14 337 0.7× 378 1.0× 210 0.9× 129 1.2× 84 1.2× 63 623
Junyan Qian China 12 341 0.7× 276 0.7× 204 0.9× 169 1.6× 32 0.4× 67 565
Francesca Lonetti Italy 13 210 0.5× 191 0.5× 190 0.8× 90 0.8× 43 0.6× 58 539
Leire Etxeberria Spain 15 220 0.5× 291 0.8× 115 0.5× 216 2.0× 12 0.2× 44 494
Chan-Gun Lee South Korea 13 202 0.4× 106 0.3× 185 0.8× 108 1.0× 67 0.9× 52 444
Aitor Arrieta Spain 15 184 0.4× 384 1.0× 96 0.4× 154 1.4× 16 0.2× 54 526
Mohammed I. Younis Iraq 12 135 0.3× 245 0.6× 103 0.4× 41 0.4× 26 0.4× 57 429
Junfeng Tian China 10 427 0.9× 51 0.1× 253 1.1× 203 1.9× 67 0.9× 87 590
A. Charan Kumari India 11 192 0.4× 103 0.3× 89 0.4× 102 0.9× 12 0.2× 53 387
Junyang Qiu China 11 183 0.4× 63 0.2× 265 1.2× 191 1.8× 270 3.7× 21 463

Countries citing papers authored by Lov Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Lov Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lov Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Lov Kumar. A scholar is included among the top collaborators of Lov 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 Lov Kumar. Lov Kumar 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.
Kumar, Lov, et al.. (2025). Nested deep learning with learned network embeddings for software defect prediction. Applied Soft Computing. 174. 113057–113057.
2.
Kumar, Lov, et al.. (2025). An empirical analysis on webservice antipattern prediction in different variants of machine learning perspective. Scientific Reports. 15(1). 5183–5183. 1 indexed citations
3.
4.
Misra, Sanjay, et al.. (2023). Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction. Expert Systems with Applications. 223. 119806–119806. 24 indexed citations
5.
6.
Kumar, Lov, et al.. (2023). An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. SHILAP Revista de lepidopterología. 37. 187–194. 1 indexed citations
7.
Kumar, Lov, et al.. (2022). Detection of web service anti-patterns using weighted extreme learning machine. Computer Standards & Interfaces. 82. 103621–103621. 8 indexed citations
8.
9.
Hota, Chittaranjan, et al.. (2019). An Evolutionary GA-Based Approach for Community Detection in IoT. IEEE Access. 7. 100512–100534. 6 indexed citations
10.
Kumar, Lov & Ashish Sureka. (2018). An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework. 2–11. 9 indexed citations
11.
Kumar, Lov, et al.. (2018). An effective fault prediction model developed using an extreme learning machine with various kernel methods. Frontiers of Information Technology & Electronic Engineering. 19(7). 864–888. 9 indexed citations
12.
13.
Kumar, Lov & Ashish Sureka. (2017). Aging Related Bug Prediction using Extreme Learning Machines. 1–6. 8 indexed citations
14.
Kumar, Lov & Santanu Kumar Rath. (2017). Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept. International Journal of Systems Assurance Engineering and Management. 8(S2). 1487–1502. 25 indexed citations
15.
Kumar, Lov, Sanjay Misra, & Santanu Kumar Rath. (2017). An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes. Computer Standards & Interfaces. 53. 1–32. 35 indexed citations
16.
Kumar, Lov, et al.. (2016). Analysis of control flow complexity metrics for web service composition. 1. 389–394. 3 indexed citations
17.
Kumar, Lov & Santanu Kumar Rath. (2015). A model to assess the effectiveness of fault prediction techniques for quality assurance. 1–6. 3 indexed citations
18.
Kumar, Lov & Santanu Kumar Rath. (2015). Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines. 238–245. 3 indexed citations
19.
Kumar, Lov & Santanu Kumar Rath. (2015). Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept. 100–109. 13 indexed citations
20.
Kumar, Lov & Santanu Kumar Rath. (2014). Hybrid neural network approach for predicting maintainability of object-oriented software. Americanae (AECID Library). 13(2). 10–21. 2 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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