Deepshikha Bhargava

665 total citations
48 papers, 240 citations indexed

About

Deepshikha Bhargava is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Deepshikha Bhargava has authored 48 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Deepshikha Bhargava's work include Multi-Agent Systems and Negotiation (7 papers), Business Process Modeling and Analysis (6 papers) and Magnetic and transport properties of perovskites and related materials (4 papers). Deepshikha Bhargava is often cited by papers focused on Multi-Agent Systems and Negotiation (7 papers), Business Process Modeling and Analysis (6 papers) and Magnetic and transport properties of perovskites and related materials (4 papers). Deepshikha Bhargava collaborates with scholars based in India, United Arab Emirates and Singapore. Deepshikha Bhargava's co-authors include Sonali Vyas, Guna Sekhar Sajja, Samrat Ray, Ramesh Chandra Poonia, B. Suresh Kumar, Manu Sehgal, Samiya Khan, Sankar P. Sanyal, B. Prasanalakshmi and Thavavel Vaiyapuri and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Physica B Condensed Matter and Wireless Communications and Mobile Computing.

In The Last Decade

Deepshikha Bhargava

41 papers receiving 217 citations

Peers

Deepshikha Bhargava
Haoyu Wen China
Deepshikha Bhargava
Citations per year, relative to Deepshikha Bhargava Deepshikha Bhargava (= 1×) peers Haoyu Wen

Countries citing papers authored by Deepshikha Bhargava

Since Specialization
Citations

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

Fields of papers citing papers by Deepshikha Bhargava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepshikha Bhargava

This figure shows the co-authorship network connecting the top 25 collaborators of Deepshikha Bhargava. A scholar is included among the top collaborators of Deepshikha Bhargava 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 Deepshikha Bhargava. Deepshikha Bhargava 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
3.
Bhargava, Deepshikha, et al.. (2024). Deep-Fake Finder: Uncovering Forgery Image Through Neural Network Analysis. 1–5. 1 indexed citations
4.
Bhargava, Deepshikha, et al.. (2024). Fitness Algorithm for Human Posture Detection and Correction. 1–6. 1 indexed citations
6.
Das, Lipsa, et al.. (2024). Sensor-driven Smart Environments: Enabling Technologies for IoT Applications. 1706–1713. 1 indexed citations
8.
Kushwaha, Pradeep Kumar, et al.. (2024). Heart Diseases Prediction Using Machine Learning. 1–6.
9.
Mathur, Sandeep, et al.. (2024). Artificial Intelligence Based Predictive Analytics for Website Performance Optimization. 795–800. 1 indexed citations
10.
Bhargava, Deepshikha, et al.. (2022). CUCKOO‐ANN Based Novel Energy‐Efficient Optimization Technique for IoT Sensor Node Modelling. Wireless Communications and Mobile Computing. 2022(1). 16 indexed citations
11.
Bhargava, Deepshikha & Sonali Vyas. (2021). Smart Health Systems: Emerging Trends. 1 indexed citations
12.
Vyas, Sonali & Deepshikha Bhargava. (2021). Smart Health Systems. 8 indexed citations
13.
Bhargava, Deepshikha, et al.. (2020). Improved African buffalo optimisation algorithm for petroleum product supply chain management. International Journal of Grid and Utility Computing. 11(6). 769–769. 6 indexed citations
14.
Poonia, Ramesh Chandra, et al.. (2017). Foreword. Journal of Information and Optimization Sciences. 38(6). iii–iv. 1 indexed citations
15.
Poonia, Ramesh Chandra & Deepshikha Bhargava. (2016). A Review of Coupling Simulator for Vehicular Ad-hoc Networks. International Journal of Information Technology and Computer Science. 8(5). 44–51. 7 indexed citations
16.
Bhargava, Deepshikha, et al.. (2015). Run-time performance analysis of non-agent based solution for Inter Process Synchronization problem. 1–5. 3 indexed citations
17.
Kumar, B. Suresh, Deepshikha Bhargava, & Ramesh Chandra Poonia. (2014). Fuzzy keyword search and ranking frame work of DRS based file information management system using TF-RDF ranking strategy. 1–5. 6 indexed citations
18.
Bhargava, Deepshikha, et al.. (2013). Effect of Cr doping in Structure and Magneto-transport Properties of (La0.67Sr0.33)MnO3. Journals & Books Hosting (International Knowledge Sharing Platform). 19. 130–134. 1 indexed citations
19.
Bhargava, Deepshikha, et al.. (2013). Transport, magneto transport and magnetic properties of Ru substituted NdMnO[sub 3]. AIP conference proceedings. 865–866. 1 indexed citations
20.
Bhargava, Deepshikha. (2012). Design of an intelligent agent based technique for solving inter process synchronization problem. Shodhganga. 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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