Somya Goyal

851 total citations
28 papers, 309 citations indexed

About

Somya Goyal is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Somya Goyal has authored 28 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 16 papers in Software and 8 papers in Artificial Intelligence. Recurrent topics in Somya Goyal's work include Software Engineering Research (17 papers), Software Reliability and Analysis Research (16 papers) and Imbalanced Data Classification Techniques (6 papers). Somya Goyal is often cited by papers focused on Software Engineering Research (17 papers), Software Reliability and Analysis Research (16 papers) and Imbalanced Data Classification Techniques (6 papers). Somya Goyal collaborates with scholars based in India, Singapore and Japan. Somya Goyal's co-authors include Pradeep Kumar Bhatia, Anubha Parashar, Rohit Jain, Thi Hong Tran, Shubham Chauhan, Kentaroh Toyoda, Tadashi Nakano, Shoji Kasahara and Varij Panwar and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Artificial Intelligence Review.

In The Last Decade

Somya Goyal

24 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Somya Goyal India 10 214 186 97 79 21 28 309
Sushant Kumar Pandey India 9 295 1.4× 265 1.4× 95 1.0× 135 1.7× 5 0.2× 24 367
Yuchen Guo China 6 301 1.4× 270 1.5× 113 1.2× 123 1.6× 6 0.3× 10 400
Gufran Ahmad Ansari India 10 99 0.5× 74 0.4× 126 1.3× 43 0.5× 157 7.5× 37 326
Rashi Kohli India 8 50 0.2× 13 0.1× 63 0.6× 71 0.9× 9 0.4× 16 205
Nuo Li China 11 146 0.7× 117 0.6× 92 0.9× 34 0.4× 1 0.0× 33 272
Dharini Balasubramaniam United Kingdom 10 193 0.9× 66 0.4× 161 1.7× 135 1.7× 34 300
Spencer S. Pearson United States 6 246 1.1× 268 1.4× 43 0.4× 96 1.2× 7 356
Jan S. Rellermeyer Netherlands 9 121 0.6× 59 0.3× 87 0.9× 165 2.1× 26 278
Durmuş Özkan Şahi̇n Türkiye 8 116 0.5× 59 0.3× 95 1.0× 171 2.2× 3 0.1× 25 278
Pooja Yadav India 7 66 0.3× 23 0.1× 67 0.7× 106 1.3× 4 0.2× 14 274

Countries citing papers authored by Somya Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Somya Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Somya Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Somya Goyal. A scholar is included among the top collaborators of Somya Goyal 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 Somya Goyal. Somya Goyal 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.
Goyal, Somya. (2025). Hybrid balancing method for software fault prediction leveraging stacked ensembles. International Journal of Information Technology. 17(5). 3131–3139. 1 indexed citations
3.
Goyal, Somya. (2025). Current Trends in Class Imbalance Learning for Software Defect Prediction. IEEE Access. 13. 16896–16917. 1 indexed citations
4.
Goyal, Somya, et al.. (2024). A comparative analysis of efficacy of machine learning techniques for disease detection in some economically important crops. Crop Protection. 190. 107093–107093. 6 indexed citations
5.
6.
Goyal, Somya. (2023). Ev-MDP : A Novel Metaheuristic Technique for Heart Disease Detection. 188–191. 1 indexed citations
7.
Goyal, Somya. (2022). 3PcGE: 3-parent child-based genetic evolution for software defect prediction. Innovations in Systems and Software Engineering. 19(2). 197–216. 7 indexed citations
8.
Chauhan, Shubham, et al.. (2022). Development of flexible piezoresistive pressure sensors based on ionic membrane. AIP conference proceedings. 2767. 20013–20013.
9.
Goyal, Somya. (2022). Genetic Evolution-Based Feature Selection for Software Defect Prediction Using SVMs. Journal of Circuits Systems and Computers. 31(11). 9 indexed citations
10.
Goyal, Somya. (2022). Software Measurements Using Machine Learning Techniques - A Review. Recent Advances in Computer Science and Communications. 16(1). 3 indexed citations
11.
Goyal, Somya. (2022). Static code metrics-based deep learning architecture for software fault prediction. Soft Computing. 26(24). 13765–13797. 7 indexed citations
12.
Goyal, Somya & Pradeep Kumar Bhatia. (2021). Software fault prediction using lion optimization algorithm. International Journal of Information Technology. 13(6). 2185–2190. 10 indexed citations
13.
Goyal, Somya. (2021). Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction. Artificial Intelligence Review. 55(3). 2023–2064. 86 indexed citations
14.
Goyal, Somya. (2021). Predicting the Defects using Stacked Ensemble Learner with Filtered Dataset. Automated Software Engineering. 28(2). 17 indexed citations
15.
Goyal, Somya. (2020). Heterogeneous Stacked Ensemble Classifier for Software Defect Prediction. 126–130. 15 indexed citations
16.
Goyal, Somya & Pradeep Kumar Bhatia. (2019). A Non-Linear Technique for Effective Software Effort Estimation using Multi-Layer Perceptrons. 1–4. 14 indexed citations
17.
Goyal, Somya & Anubha Parashar. (2018). Machine Learning Application to Improve COCOMO Model using Neural Networks. International Journal of Information Technology and Computer Science. 10(3). 35–51. 20 indexed citations
18.
Parashar, Anubha, et al.. (2017). Identification of gait data using machine learning technique to categories human locomotion. 229–234. 3 indexed citations
19.
Goyal, Somya & Anubha Parashar. (2017). Selecting the COTS Components Using Ad-hoc Approach. International Journal of Wireless and Microwave Technologies. 7(5). 22–31. 1 indexed citations
20.
Parashar, Anubha, et al.. (2016). Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean. 1–6. 6 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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