Deepti D. Shrimankar

1.1k total citations
41 papers, 759 citations indexed

About

Deepti D. Shrimankar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Deepti D. Shrimankar has authored 41 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Deepti D. Shrimankar's work include Genomics and Phylogenetic Studies (7 papers), Video Analysis and Summarization (6 papers) and Bamboo properties and applications (6 papers). Deepti D. Shrimankar is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Video Analysis and Summarization (6 papers) and Bamboo properties and applications (6 papers). Deepti D. Shrimankar collaborates with scholars based in India, Italy and Denmark. Deepti D. Shrimankar's co-authors include Krishan Kumar, Navjot Singh, Manish Paliwal, Ankush D. Sawarkar, Lal Singh, Manish Kumar, Sunil Kumar, Ajay Kumar, Aman Kumar and G. Phani Kumar and has published in prestigious journals such as IEEE Access, Industrial Crops and Products and IEEE Sensors Journal.

In The Last Decade

Deepti D. Shrimankar

40 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepti D. Shrimankar India 16 292 229 129 108 104 41 759
Lijun He China 15 237 0.8× 206 0.9× 127 1.0× 142 1.3× 175 1.7× 53 756
S. P. Raja India 13 176 0.6× 113 0.5× 184 1.4× 110 1.0× 197 1.9× 152 833
Jianxin Guo China 14 214 0.7× 109 0.5× 57 0.4× 153 1.4× 116 1.1× 81 774
Ajay Kaul India 12 145 0.5× 202 0.9× 130 1.0× 224 2.1× 313 3.0× 22 848
Cong Zhao China 17 348 1.2× 242 1.1× 332 2.6× 173 1.6× 93 0.9× 63 971
Aman Jain United States 9 326 1.1× 83 0.4× 66 0.5× 78 0.7× 65 0.6× 26 567
Ningxin Zheng China 8 299 1.0× 112 0.5× 107 0.8× 75 0.7× 42 0.4× 14 598
Radwa Marzouk Saudi Arabia 14 131 0.4× 85 0.4× 142 1.1× 59 0.5× 28 0.3× 58 478
Wahab Khan China 13 203 0.7× 159 0.7× 73 0.6× 99 0.9× 56 0.5× 20 542
Pankaj Dadheech India 16 145 0.5× 306 1.3× 218 1.7× 178 1.6× 52 0.5× 85 759

Countries citing papers authored by Deepti D. Shrimankar

Since Specialization
Citations

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

Fields of papers citing papers by Deepti D. Shrimankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepti D. Shrimankar. 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 Deepti D. Shrimankar. The network helps show where Deepti D. Shrimankar may publish in the future.

Co-authorship network of co-authors of Deepti D. Shrimankar

This figure shows the co-authorship network connecting the top 25 collaborators of Deepti D. Shrimankar. A scholar is included among the top collaborators of Deepti D. Shrimankar 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 Deepti D. Shrimankar. Deepti D. Shrimankar 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.
Shrimankar, Deepti D., Mahesh Maindarkar, Mrinalini Bhagawati, et al.. (2025). Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey. Rheumatology International. 45(1). 14–14. 1 indexed citations
2.
3.
Sawarkar, Ankush D., et al.. (2024). Alcohol Quality Analysis Using Machine Learning Regression Technique. 1 indexed citations
4.
Sawarkar, Ankush D., et al.. (2024). Bamboo Plant Classification Using Deep Transfer Learning with a Majority Multiclass Voting Algorithm. Applied Sciences. 14(3). 1023–1023. 11 indexed citations
5.
6.
Shrimankar, Deepti D., et al.. (2023). A Study and Analysis of Disease Identification using Genomic Sequence Processing Models: An Empirical Review. Current Genomics. 24(4). 207–235. 4 indexed citations
7.
Sawarkar, Ankush D., et al.. (2023). Bamboo as a sustainable crop for land restoration in India: challenges and opportunities. Environment Development and Sustainability. 27(1). 157–189. 15 indexed citations
8.
Shrimankar, Deepti D., et al.. (2022). Heuristic Analysis of Genomic Sequence Processing Models for High Efficiency Prediction: A Statistical Perspective. Current Genomics. 23(5). 299–317. 4 indexed citations
9.
Shrimankar, Deepti D., et al.. (2019). Secure & efficient intra-MME handovers via mobile relays within the LTE-A and future 5G high-speed train networks. Peer-to-Peer Networking and Applications. 13(3). 762–779. 7 indexed citations
10.
Paliwal, Manish & Deepti D. Shrimankar. (2019). Effective Resource Management in SDN Enabled Data Center Network Based on Traffic Demand. IEEE Access. 7. 69698–69706. 18 indexed citations
11.
Shrimankar, Deepti D., et al.. (2018). Dynamic Group Based Efficient Access Authentication and Key Agreement Protocol for MTC in LTE-A Networks. Wireless Personal Communications. 101(2). 829–856. 16 indexed citations
12.
Shrimankar, Deepti D., et al.. (2018). A privacy-preserving authentication protocol with secure handovers for the LTE/LTE-A networks. Sadhana. 43(8). 12 indexed citations
13.
Shrimankar, Deepti D., et al.. (2018). N-PSO: endmember extraction using advance particle swarm optimization for NLMM. Sadhana. 43(9). 1 indexed citations
14.
Kumar, Krishan & Deepti D. Shrimankar. (2018). Deep Event Learning boosT-up Approach: DELTA. Multimedia Tools and Applications. 77(20). 26635–26655. 59 indexed citations
15.
Shrimankar, Deepti D., et al.. (2017). An oracle penalty and modified augmented Lagrangian methods with firefly algorithm for constrained optimization problems. Operational Research. 20(2). 985–1010. 3 indexed citations
16.
Kumar, Krishan, Deepti D. Shrimankar, & Navjot Singh. (2016). Equal Partition Based Clustering Approach for Event Summarization in Videos. 119–126. 38 indexed citations
17.
Shrimankar, Deepti D., et al.. (2016). Analysis of Parallel Algorithms on SMP Node and Cluster of Workstations Using Parallel Programming Models with New Tile-based Method for Large Biological Datasets. Bioinformatics and Biology Insights. 10. BBI.S40744–BBI.S40744. 2 indexed citations
18.
Shrimankar, Deepti D., et al.. (2013). Parallelizing and Analyzing the Behavior of Sequence Alignment Algorithm on a Cluster of Workstations for Large Datasets. International Journal of Computer Applications. 74(21). 18–30. 2 indexed citations
19.
Shrimankar, Deepti D., et al.. (2012). Implementation of parallel algorithms on cluster of workstations. 126–131. 2 indexed citations
20.
Shrimankar, Deepti D., et al.. (2011). Parallelization of DNA sequence alignment using OpenMP. 200–200. 5 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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