Alaknanda Ashok

796 total citations
47 papers, 430 citations indexed

About

Alaknanda Ashok is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Alaknanda Ashok has authored 47 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Alaknanda Ashok's work include Advanced Steganography and Watermarking Techniques (6 papers), Brain Tumor Detection and Classification (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Alaknanda Ashok is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Brain Tumor Detection and Classification (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Alaknanda Ashok collaborates with scholars based in India, Australia and Malaysia. Alaknanda Ashok's co-authors include Ankur Dumka, Parag Verma, Anuj Bhardwaj, Mukesh Saraswat, Sandeep Singh, Tarun Kumar Rawat, M. A. Ansari, Pankaj Kumar, Ahmed Elbeltagi and Alban Kuriqi and has published in prestigious journals such as Scientific Reports, IEEE Access and Future Generation Computer Systems.

In The Last Decade

Alaknanda Ashok

36 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alaknanda Ashok India 12 141 105 47 39 37 47 430
Minakhi Rout India 13 67 0.5× 187 1.8× 19 0.4× 81 2.1× 17 0.5× 43 488
Yasser A. Ali Saudi Arabia 10 57 0.4× 83 0.8× 27 0.6× 12 0.3× 10 0.3× 26 428
J. Rene Beulah India 7 38 0.3× 106 1.0× 66 1.4× 11 0.3× 10 0.3× 13 356
Mukesh Kumar India 13 47 0.3× 169 1.6× 84 1.8× 7 0.2× 37 1.0× 55 584
Lele Qin China 8 62 0.4× 104 1.0× 25 0.5× 75 1.9× 4 0.1× 24 557
Ziyan Zhang China 7 112 0.8× 260 2.5× 30 0.6× 13 0.3× 10 0.3× 15 430
Rashad Ahmed United States 11 37 0.3× 76 0.7× 58 1.2× 89 2.3× 10 0.3× 34 382
Babita Majhi India 11 33 0.2× 157 1.5× 40 0.9× 114 2.9× 6 0.2× 44 518
Junaid Khan South Korea 8 34 0.2× 97 0.9× 62 1.3× 9 0.2× 19 0.5× 18 347

Countries citing papers authored by Alaknanda Ashok

Since Specialization
Citations

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

Fields of papers citing papers by Alaknanda Ashok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alaknanda Ashok

This figure shows the co-authorship network connecting the top 25 collaborators of Alaknanda Ashok. A scholar is included among the top collaborators of Alaknanda Ashok 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 Alaknanda Ashok. Alaknanda Ashok 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
2.
Ashok, Alaknanda, et al.. (2024). Design expert based optimization of the pyrolysis process for the production of cattle dung bio-oil and properties characterization. Scientific Reports. 14(1). 9421–9421. 6 indexed citations
3.
Ashok, Alaknanda, et al.. (2024). Personal Exercise Trainer Using Computer Vision. 1–6. 1 indexed citations
4.
Ashok, Alaknanda, et al.. (2024). Role of Artificial Intelligence in Automobiles: A Review. SSRN Electronic Journal.
5.
Maheshwari, Basant, Dharmappa Hagare, Ricky‐John Spencer, et al.. (2023). Mentoring in the young water professionals' training program: Lessons for effective capacity development. 9(3). 334–348.
6.
Singh, Sandeep, Tarun Kumar Rawat, & Alaknanda Ashok. (2023). Nonlinear system identification using butterfly optimisation algorithm and Hammerstein model. International Journal of Modelling Identification and Control. 42(2). 171–171. 1 indexed citations
7.
Ashok, Alaknanda, et al.. (2023). Bird Species Detection Using Deep Learning Method. 8. 1–5.
8.
Ashok, Alaknanda, et al.. (2023). Yoga Pose Detection and Correction Using Computer Vision. 192–198. 1 indexed citations
9.
Verma, Parag, et al.. (2022). Security Issues for Wireless Sensor Networks.
10.
Kumar, Pankaj, Dinesh Kumar Vishwakarma, Alaknanda Ashok, et al.. (2022). Watershed prioritization using morphometric analysis by MCDM approaches. Ecological Informatics. 70. 101763–101763. 68 indexed citations
11.
Saraswat, Mukesh, Alaknanda Ashok, Himanshu Mittal, et al.. (2022). From classical to soft computing based watermarking techniques: A comprehensive review. Future Generation Computer Systems. 141. 738–754. 38 indexed citations
12.
Verma, Parag, Ankur Dumka, Rajesh Singh, et al.. (2021). A Deep Learning Based Approach for Patient Pulmonary CT Image Screening to Predict Coronavirus (SARS-CoV-2) Infection. Diagnostics. 11(9). 1735–1735. 14 indexed citations
13.
Ashok, Alaknanda, et al.. (2021). An optimized robust watermarking technique using CKGSA in frequency domain. Journal of Information Security and Applications. 58. 102734–102734. 20 indexed citations
14.
Verma, Parag, Ankur Dumka, Anuj Bhardwaj, & Alaknanda Ashok. (2021). Product Review-Based Customer Sentiment Analysis Using an Ensemble of mRMR and Forest Optimization Algorithm (FOA). International Journal of Applied Metaheuristic Computing. 13(1). 1–21. 11 indexed citations
15.
Dumka, Ankur, et al.. (2020). Advanced Digital Image Processing and Its Applications in Big Data. 5 indexed citations
16.
Ansari, M. A., et al.. (2020). Review of Feature Extraction and Classification Methods used in CAD System. 11. 222–227. 1 indexed citations
17.
Ansari, Mushtaq Ahmad, et al.. (2019). A Hybrid Framework for Brain Tumor Classification using Grey Wolf Optimization and Multi-Class Support Vector Machine. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 7746–7752. 5 indexed citations
18.
Ashok, Alaknanda, et al.. (2018). Brain Tumor Classification Using Hybrid Model Of PSO And SVM Classifier. 1022–1026. 33 indexed citations
19.
Anand, R. S., et al.. (2011). Analysis of radiographical weld flaws using image-processing approach. International Journal of Signal and Imaging Systems Engineering. 4(4). 228–228. 1 indexed citations
20.
Omar, Shobit, Sushil Kumar Mandal, Alaknanda Ashok, A. R. Harish, & Monica Katiyar. (2011). Organic inverter: Theoretical analysis using load matching technique. Microelectronics Reliability. 51(12). 2173–2178. 3 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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