Ashok Kumar Nanda

966 total citations
32 papers, 646 citations indexed

About

Ashok Kumar Nanda is a scholar working on Ophthalmology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ashok Kumar Nanda has authored 32 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ophthalmology, 8 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ashok Kumar Nanda's work include Ophthalmology and Visual Impairment Studies (6 papers), Intraocular Surgery and Lenses (5 papers) and Retinal Imaging and Analysis (5 papers). Ashok Kumar Nanda is often cited by papers focused on Ophthalmology and Visual Impairment Studies (6 papers), Intraocular Surgery and Lenses (5 papers) and Retinal Imaging and Analysis (5 papers). Ashok Kumar Nanda collaborates with scholars based in India, Australia and Saudi Arabia. Ashok Kumar Nanda's co-authors include Rakhi Dandona, Catherine A. McCarty, Thomas Naduvilath, Srinivas Marmamula, Lalit Dandona, Partha Mandal, Gullapalli N. Rao, S. Neelakandan, Kuruva Lakshmanna and Saleh Alghamdi and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Chemosphere.

In The Last Decade

Ashok Kumar Nanda

25 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashok Kumar Nanda India 10 404 247 246 74 49 32 646
D. Ashok Kumar India 11 177 0.4× 85 0.3× 160 0.7× 35 0.5× 49 1.0× 29 427
Agung W. Setiawan Indonesia 12 82 0.2× 19 0.1× 201 0.8× 19 0.3× 26 0.5× 99 561
Pradeep Kumar Singh India 9 31 0.1× 21 0.1× 127 0.5× 66 0.9× 27 0.6× 51 431
Shigeru Takano Japan 7 121 0.3× 54 0.2× 93 0.4× 6 0.1× 11 0.2× 46 279
José Carlos Quadrado Portugal 9 94 0.2× 21 0.1× 104 0.4× 7 0.1× 167 3.4× 42 445
Jiaming Hong China 10 75 0.2× 8 0.0× 91 0.4× 12 0.2× 21 0.4× 26 284
Reza Zarei Iran 15 437 1.1× 29 0.1× 347 1.4× 9 0.1× 4 0.1× 67 612
Surbhi Gupta India 15 17 0.0× 30 0.1× 188 0.8× 45 0.6× 19 0.4× 24 563
Muhammad Haris Pakistan 7 67 0.2× 6 0.0× 108 0.4× 25 0.3× 18 0.4× 24 398
Masum Shah Junayed Türkiye 10 53 0.1× 32 0.1× 108 0.4× 4 0.1× 8 0.2× 26 340

Countries citing papers authored by Ashok Kumar Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Kumar Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashok Kumar Nanda

This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Kumar Nanda. A scholar is included among the top collaborators of Ashok Kumar Nanda 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 Ashok Kumar Nanda. Ashok Kumar Nanda 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.
Sekhar, J. C., et al.. (2025). Stochastic gradient boosted distributed decision trees security approach for detecting cyber anomalies and classifying multiclass cyber-attacks. Computers & Security. 151. 104320–104320. 1 indexed citations
2.
Nanda, Ashok Kumar, et al.. (2024). An optimal multipath routing protocol using hybrid gravitational search particle swarm optimization for secure communication. International Journal of Communication Systems. 37(7).
3.
Nanda, Ashok Kumar, et al.. (2024). Determination of the time of refractive stability after uneventful phacoemulsification in Indian eyes. PubMed. 14(2). 95016–95016.
4.
Nanda, Ashok Kumar, et al.. (2024). Forecasting deep learning-based risk assessment of vector-borne diseases using hybrid methodology. Technology and Health Care. 32(5). 3341–3361.
5.
Nanda, Ashok Kumar, et al.. (2024). An Evolutionary Computation-Based Federated Learning for Host Intrusion Detection in Real-Time Traffic Analysis. Wireless Personal Communications. 2 indexed citations
6.
Nanda, Ashok Kumar, et al.. (2023). Multi-layer perceptron's neural network with optimization algorithm for greenhouse gas forecasting systems. Environmental Challenges. 11. 100708–100708. 15 indexed citations
7.
Narayana, M., et al.. (2023). Enhanced Energy Efficient with a Trust Aware in MANET for Real-Time Applications. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 587–607. 1 indexed citations
8.
Nanda, Ashok Kumar, et al.. (2023). Deep convolutional neural network with Kalman filter based objected tracking and detection in underwater communications. Wireless Networks. 30(6). 5571–5588. 13 indexed citations
9.
Neelakandan, S., M. Prakash, B. T. Geetha, et al.. (2022). Metaheuristics with Deep Transfer Learning Enabled Detection and classification model for industrial waste management. Chemosphere. 308(Pt 1). 136046–136046. 36 indexed citations
10.
Nanda, Ashok Kumar, et al.. (2022). Spoofing E-Mail Detection Using Stacking Algorithm. 1–4. 1 indexed citations
11.
Nanda, Ashok Kumar, et al.. (2022). Comparison of ocular biometry and refractive outcome between ANTERION and IOL Master 700. Indian Journal of Ophthalmology. 70(5). 1594–1598. 6 indexed citations
12.
Nanda, Ashok Kumar, et al.. (2022). Prevalence of sickle cell disease among children in India. International Journal of Health Sciences. 13083–13099. 2 indexed citations
14.
Nanda, Ashok Kumar, et al.. (2019). ECDSA Security Protocol for WSBNs. International Journal of Innovative Technology and Exploring Engineering. 8(6S4). 138–145. 1 indexed citations
15.
Nanda, Ashok Kumar, et al.. (2015). Pseudoexfoliation - A Dreaded Nightmare in Cataract Surgery. International Journal of Biomedical and Advance Research. 6(2). 159–159. 4 indexed citations
16.
Mahapatra, Ashoka, et al.. (2011). Ocular filariasis. Tropical parasitology. 1(2). 116–116. 2 indexed citations
17.
Ak, Mandal, Harmohina Bagga, Rishita Nutheti, Vijaya K. Gothwal, & Ashok Kumar Nanda. (2003). Trabeculectomy with or without mitomycin-C for paediatric glaucoma in aphakia and pseudophakia following congenital cataract surgery. Eye. 17(1). 53–62. 47 indexed citations
18.
Dandona, Lalit, Rakhi Dandona, Thomas Naduvilath, et al.. (1999). Burden of moderate visual impairment in an urban population in southern India. Ophthalmology. 106(3). 497–504. 89 indexed citations
19.
Dandona, Lalit, Rakhi Dandona, Thomas Naduvilath, et al.. (1999). Population-based assessment of the outcome of cataract surgery in an urban population in southern India. American Journal of Ophthalmology. 127(6). 650–658. 117 indexed citations
20.
Dandona, Lalit, Rakhi Dandona, Thomas Naduvilath, et al.. (1998). Is current eye-care-policy focus almost exclusively on cataract adequate to deal with blindness in India?. The Lancet. 351(9112). 1312–1316. 122 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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