J. C. Sekhar

749 total citations
58 papers, 402 citations indexed

About

J. C. Sekhar is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, J. C. Sekhar has authored 58 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 10 papers in Molecular Biology and 9 papers in Agronomy and Crop Science. Recurrent topics in J. C. Sekhar's work include Insect Pest Control Strategies (15 papers), Genetics and Plant Breeding (10 papers) and Insect Resistance and Genetics (9 papers). J. C. Sekhar is often cited by papers focused on Insect Pest Control Strategies (15 papers), Genetics and Plant Breeding (10 papers) and Insect Resistance and Genetics (9 papers). J. C. Sekhar collaborates with scholars based in India, Malaysia and Saudi Arabia. J. C. Sekhar's co-authors include Sujay Rakshit, Sudha Nair, H. S. Gupta, Neeraj Singh, Ashok Kumar, G. Srinivasan, Raman Babu, Zerka Rashid, Tasneem Fatma and N. Sunil and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Agriculture Ecosystems & Environment.

In The Last Decade

J. C. Sekhar

49 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. C. Sekhar India 10 274 100 87 40 35 58 402
S. K. Tiwari India 13 353 1.3× 159 1.6× 100 1.1× 36 0.9× 24 0.7× 72 602
Faisal Saeed Awan Pakistan 14 445 1.6× 133 1.3× 118 1.4× 17 0.4× 48 1.4× 70 590
Shujiang Li China 11 427 1.6× 153 1.5× 58 0.7× 17 0.4× 21 0.6× 66 682
Shalu Jain United States 14 610 2.2× 182 1.8× 140 1.6× 18 0.5× 59 1.7× 49 704
Xiongjian Zhang China 8 353 1.3× 277 2.8× 95 1.1× 23 0.6× 10 0.3× 16 632
Farhatullah Farhatullah Pakistan 13 369 1.3× 136 1.4× 53 0.6× 14 0.3× 97 2.8× 54 473
Mohammed A. M. Aly Egypt 14 349 1.3× 163 1.6× 56 0.6× 29 0.7× 12 0.3× 19 438
Bhupender Kumar India 12 242 0.9× 47 0.5× 89 1.0× 10 0.3× 61 1.7× 42 342
Shu‐Jen Wang Taiwan 16 607 2.2× 231 2.3× 37 0.4× 24 0.6× 18 0.5× 33 741
Hany Mahgoub Egypt 13 387 1.4× 162 1.6× 12 0.1× 25 0.6× 27 0.8× 33 663

Countries citing papers authored by J. C. Sekhar

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Sekhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Sekhar. 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 J. C. Sekhar. The network helps show where J. C. Sekhar may publish in the future.

Co-authorship network of co-authors of J. C. Sekhar

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Sekhar. A scholar is included among the top collaborators of J. C. Sekhar 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 J. C. Sekhar. J. C. Sekhar 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.
Moorthy, Chitti R., J. C. Sekhar, Sibghatullah I. Khan, & Gaurav Agrawal. (2024). Optimized brain tumor identification via graph sample and aggregate-attention network with Artificial Lizard Search Algorithm. Knowledge-Based Systems. 302. 112362–112362. 6 indexed citations
4.
Sunil, N., et al.. (2024). Assessment of Genetic Variability, Heritability and Genetic Advance in Maize Genotypes (Zea mays L.). Journal of Experimental Agriculture International. 46(3). 146–155.
5.
6.
Sekhar, J. C., et al.. (2024). Maximizing Learning Outcomes through Fuzzy Inference System and Graph Theory Based on Learning Analytics. Journal of Advances in Information Technology. 15(6). 784–797. 1 indexed citations
7.
Sunil, N., et al.. (2024). Character Association and Path Coefficient Analysis to Determine Interrelationships among Grain Yield and its Components in Maize Genotypes (Zea mays L.). Journal of Scientific Research and Reports. 30(3). 275–283. 1 indexed citations
8.
Kaur, Chamandeep, et al.. (2024). Advanced hybrid CNN-Bi-LSTM model augmented with GA and FFO for enhanced cyclone intensity forecasting. Alexandria Engineering Journal. 92. 346–357. 8 indexed citations
9.
Sekhar, J. C., et al.. (2020). Isolation and in vitro evaluation of biocontrol agents, fungicides and essential oils against stem blight of tomato caused by Sclerotium rolfsii (Curzi) C.C Tu & Kimber. Journal of Pharmacognosy and Phytochemistry. 9(3). 700–705. 3 indexed citations
10.
Sekhar, J. C., et al.. (2020). Role of soluble, cell wall-bound phenolics, tannin and flavonoid contents in maize resistance to pink stem borer Sesamia inferens Walker. Maydica. 65(1). 12. 3 indexed citations
11.
Sekhar, J. C., et al.. (2020). Isolation and in vitro evaluation of different botanicals on mycelia growth of Alternaria alternata (Fr.) Keissler causing leaf spot of brinjal. Journal of Pharmacognosy and Phytochemistry. 9(4). 889–891. 2 indexed citations
12.
Sekhar, J. C., et al.. (2020). Isolation and in vitro evaluation of fungicides against Pestalotiopsis mangiferae causing grey blight of mango. Journal of Pharmacognosy and Phytochemistry. 9(4). 1368–1370. 1 indexed citations
13.
Mukri, Ganapati, Ramesh Kumar, Bhupender Kumar, et al.. (2018). Strategic selection of white maize inbred lines for tropical adaptation and their utilization in developing stable, medium to long duration maize hybrids. Maydica. 63(2). 8. 4 indexed citations
14.
Sekhar, J. C., et al.. (2016). Potentiality of botanical agents for the management of post harvest insects of maize: a review. Journal of Food Science and Technology. 53(5). 2169–2184. 32 indexed citations
15.
Guleria, Satish K., J. C. Sekhar, Vishal Mahajan, et al.. (2013). Analysis of yield performance and genotype × environment effects on selected maize (Zea mays) landrace accessions of India. The Indian Journal of Agricultural Sciences. 83(3). 5 indexed citations
16.
Sekhar, J. C., et al.. (2012). Detection of epistatic interaction for susceptibility towards pink borer (Sesamia inferens Walker) in maize (Zea mays L.). Indian Journal of Genetics and Plant Breeding (The). 72(3). 284–289. 5 indexed citations
17.
Sekhar, J. C., et al.. (2010). Improvement of resistance level in selected maize genotypes through cycles of selection against pink borer, Sesamia inferens Walker. Indian Journal of Genetics and Plant Breeding (The). 70(2). 204–206. 2 indexed citations
18.
Sekhar, J. C., et al.. (2009). Evaluation of yield performance of selected North East Himalayan (NEH) maize landrace accessions of India, outside their habitat. Indian Journal of Genetics and Plant Breeding (The). 69(3). 191–198. 3 indexed citations
19.
Sekhar, J. C., et al.. (2008). Avoidable losses due to Spodoptera exigua hubner in grain yield of maize sown in rabi season. Indian Journal of Entomology. 70(4). 402–403. 1 indexed citations
20.
Sekhar, J. C., et al.. (1989). Weed Management Studies in Wheat Under High Hill Temperate Zone of Himachai Pradesh. Indian Journal of Weed Science. 21. 78–79. 1 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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