Anjali Goyal

679 total citations
45 papers, 374 citations indexed

About

Anjali Goyal is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anjali Goyal has authored 45 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 19 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anjali Goyal's work include Software Engineering Research (14 papers), AI in cancer detection (9 papers) and Software Reliability and Analysis Research (6 papers). Anjali Goyal is often cited by papers focused on Software Engineering Research (14 papers), AI in cancer detection (9 papers) and Software Reliability and Analysis Research (6 papers). Anjali Goyal collaborates with scholars based in India, Estonia and Saudi Arabia. Anjali Goyal's co-authors include Neetu Sardana, Sanjay Kumar Singh, Ekta Walia, Vishu Madaan, Yogita Gigras, Harshita Abul Barkat, Md. Abul Barkat, Faheem Hyder Pottoo, Chandan Singh and Priyanka Verma and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Anjali Goyal

43 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anjali Goyal India 11 124 112 108 47 44 45 374
Gülşen Demiröz Türkiye 5 229 1.8× 76 0.7× 61 0.6× 50 1.1× 17 0.4× 7 382
R. Kiran Kumar India 10 110 0.9× 59 0.5× 55 0.5× 10 0.2× 76 1.7× 43 285
Amit Sinhal India 8 70 0.6× 43 0.4× 45 0.4× 10 0.2× 42 1.0× 39 235
K. Reddy Madhavi India 9 80 0.6× 77 0.7× 40 0.4× 3 0.1× 48 1.1× 98 380
Gufran Ahmad Ansari India 10 126 1.0× 8 0.1× 99 0.9× 74 1.6× 43 1.0× 37 326
Vishal Borate India 10 95 0.8× 31 0.3× 74 0.7× 8 0.2× 46 1.0× 35 321
Krzysztof Grąbczewski Poland 9 305 2.5× 55 0.5× 61 0.6× 5 0.1× 23 0.5× 26 409
Shuo Yang China 12 78 0.6× 175 1.6× 52 0.5× 3 0.1× 51 1.2× 69 443
M. S. Prasad Babu India 8 234 1.9× 44 0.4× 97 0.9× 2 0.0× 41 0.9× 36 407
Dilip Kumar Choubey India 14 217 1.8× 37 0.3× 60 0.6× 3 0.1× 31 0.7× 37 497

Countries citing papers authored by Anjali Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Anjali Goyal. A scholar is included among the top collaborators of Anjali 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 Anjali Goyal. Anjali 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.
Goyal, Anjali, et al.. (2025). A Survey of Federated Learning for IoT: Addressing Resource Constraints and Heterogeneous Challenges. Informatica. 49(17). 1 indexed citations
2.
Sagar, Anil Kumar, et al.. (2024). A machine learning based framework for breast cancer prediction using biomarkers. IAES International Journal of Artificial Intelligence. 13(4). 4344–4344. 1 indexed citations
3.
Sagar, Anil Kumar, et al.. (2024). Correlation of Prognostic Factors of Invasive Lobular Carcinoma and Invasive Ductal Carcinoma. International Journal of experimental research and review. 42. 50–59. 1 indexed citations
4.
Chauhan, Ruby, et al.. (2023). DENATURE: duplicate detection and type identification in open source bug repositories. International Journal of Systems Assurance Engineering and Management. 14(S1). 275–292. 3 indexed citations
5.
6.
Verma, Priyanka, Anjali Goyal, & Yogita Gigras. (2020). Email phishing: Text classification using natural language processing. 1(1). 1–12. 13 indexed citations
7.
Singh, Sanjay Kumar & Anjali Goyal. (2020). Three stage cervical cancer classifier based on hybrid ensemble learning with modified binary PSO using pretrained neural networks. The Imaging Science Journal. 68(1). 41–55. 7 indexed citations
8.
Goyal, Anjali & Neetu Sardana. (2020). Performance Assessment of Bug Fixing Process in Open Source Repositories. Procedia Computer Science. 167. 2070–2079. 3 indexed citations
9.
Goyal, Anjali, et al.. (2019). Study of Computerized Segmentation & Classification Techniques: An Application to Histopathological Imagery. Informatica. 43(4). 5 indexed citations
10.
11.
Goyal, Anjali & Neetu Sardana. (2019). An empirical study of non-reproducible bugs. International Journal of Systems Assurance Engineering and Management. 10(5). 1186–1220. 7 indexed citations
12.
Singh, Sanjay Kumar & Anjali Goyal. (2019). A Stack Autoencoders Based Deep Neural Network Approach for Cervical Cell Classification in Pap-Smear Images. Recent Advances in Computer Science and Communications. 14(1). 62–70. 10 indexed citations
13.
Goyal, Anjali, et al.. (2018). Multiclass Classification ApproachSMS Categorization. SSRN Electronic Journal.
14.
Parameswaran, Aditya, et al.. (2018). Automatic email response suggestion for support departments within a university. 2 indexed citations
15.
16.
Goyal, Anjali, et al.. (2018). An empirical analysis of machine learning models for automated essay grading. 2 indexed citations
17.
Singh, Sanjay Kumar, Rohit Singh, & Anjali Goyal. (2018). Semi-Automatic Segmentation of Overlapping Cells in Pap Smear Image. 5 indexed citations
18.
Goyal, Anjali. (2017). Effective Bug Triage for Non-Reproducible Bugs. 20. 487–488. 4 indexed citations
19.
Goyal, Anjali & Ekta Walia. (2012). An Analysis of Shape Based Image Retrieval Using Variants of Zernike Moments as Features. 7(1). 44–69. 7 indexed citations
20.

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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