Sanjay Kumar Sonbhadra

945 total citations
16 papers, 159 citations indexed

About

Sanjay Kumar Sonbhadra is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sanjay Kumar Sonbhadra has authored 16 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sanjay Kumar Sonbhadra's work include Anomaly Detection Techniques and Applications (6 papers), Time Series Analysis and Forecasting (3 papers) and Spam and Phishing Detection (2 papers). Sanjay Kumar Sonbhadra is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Time Series Analysis and Forecasting (3 papers) and Spam and Phishing Detection (2 papers). Sanjay Kumar Sonbhadra collaborates with scholars based in India and Indonesia. Sanjay Kumar Sonbhadra's co-authors include Sonali Agarwal, P. Nagabhushan, M. Tanveer, Narinder Singh Punn and Yash Patel and has published in prestigious journals such as Knowledge-Based Systems, Pattern Recognition Letters and Chaos Solitons & Fractals.

In The Last Decade

Sanjay Kumar Sonbhadra

14 papers receiving 153 citations

Peers

Sanjay Kumar Sonbhadra
Sanjay Kumar Sonbhadra
Citations per year, relative to Sanjay Kumar Sonbhadra Sanjay Kumar Sonbhadra (= 1×) peers Bùi Thanh Hùng

Countries citing papers authored by Sanjay Kumar Sonbhadra

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kumar Sonbhadra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Kumar Sonbhadra

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

All Works

16 of 16 papers shown
1.
Sonbhadra, Sanjay Kumar, Sonali Agarwal, & P. Nagabhushan. (2024). Pinball-OCSVM for Early-Stage COVID-19 Diagnosis with Limited Posteroanterior Chest X-Ray Images. International Journal of Pattern Recognition and Artificial Intelligence. 38(3). 1 indexed citations
3.
Sonbhadra, Sanjay Kumar, Sonali Agarwal, & P. Nagabhushan. (2022). Target-class guided sample length reduction and training set selection of univariate time-series. Applied Intelligence. 53(6). 7056–7073. 1 indexed citations
4.
Agarwal, Sonali, Sanjay Kumar Sonbhadra, & Narinder Singh Punn. (2022). Software Testing and Quality Assurance for Data Intensive Applications. 461–462. 2 indexed citations
5.
Sonbhadra, Sanjay Kumar, Sonali Agarwal, & P. Nagabhushan. (2021). Learning Target Class Feature Subspace (LTC-FS) Using Eigenspace Analysis and N-ary Search-Based Autonomous Hyperparameter Tuning for OCSVM. International Journal of Pattern Recognition and Artificial Intelligence. 35(13). 2 indexed citations
6.
Sonbhadra, Sanjay Kumar, Sonali Agarwal, & P. Nagabhushan. (2020). Target specific mining of COVID-19 scholarly articles using one-class approach. Chaos Solitons & Fractals. 140. 110155–110155. 22 indexed citations
7.
Sonbhadra, Sanjay Kumar, et al.. (2020). Person tracking with non-overlapping multiple cameras. 137–143. 1 indexed citations
9.
Sonbhadra, Sanjay Kumar, et al.. (2020). One-class support vector classifiers: A survey. Knowledge-Based Systems. 196. 105754–105754. 98 indexed citations
10.
Sonbhadra, Sanjay Kumar, et al.. (2020). An Application of Ensemble and Deep Learning Models in Predictive Analytics. 31999. 574–582. 1 indexed citations
11.
Sonbhadra, Sanjay Kumar, et al.. (2020). Email classification via intention-based segmentation. 38–44. 6 indexed citations
12.
Sonbhadra, Sanjay Kumar, et al.. (2020). Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD). Pattern Recognition Letters. 131. 268–276. 14 indexed citations
13.
Sonbhadra, Sanjay Kumar, et al.. (2019). Privacy Control In Social Networks By Trust Aware Link Prediction. 410–415. 3 indexed citations
14.
Sonbhadra, Sanjay Kumar, et al.. (2019). Predictive Analytics using Ensemble Models. 1–5. 1 indexed citations
15.
Sonbhadra, Sanjay Kumar, et al.. (2018). Favour prediction of Taxi services using real-time visualization. 160. 2276–2282. 3 indexed citations
16.
Sonbhadra, Sanjay Kumar, et al.. (2018). Post-Surgical Survival Forecasting of Breast Cancer Patient: A Novel Approach. 3. 37–41. 4 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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