Devvret Verma

1.8k total citations · 1 hit paper
74 papers, 904 citations indexed

About

Devvret Verma is a scholar working on Information Systems, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Devvret Verma has authored 74 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 15 papers in Computer Networks and Communications and 12 papers in Molecular Biology. Recurrent topics in Devvret Verma's work include Internet of Things and AI (11 papers), Blockchain Technology Applications and Security (9 papers) and IoT and Edge/Fog Computing (7 papers). Devvret Verma is often cited by papers focused on Internet of Things and AI (11 papers), Blockchain Technology Applications and Security (9 papers) and IoT and Edge/Fog Computing (7 papers). Devvret Verma collaborates with scholars based in India, Saudi Arabia and United States. Devvret Verma's co-authors include Divya Jain, Debasis Mitra, Rittick Mondal, Sudip Some, Sanjay Kumar, Richa Mishra, Ramgopal Kashyap, Kumud Pant, Rajni Dubey and Sameer Alshehri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Pharmacology and Environmental and Experimental Botany.

In The Last Decade

Devvret Verma

60 papers receiving 847 citations

Hit Papers

Anticancer Drug Discovery... 2024 2026 2024 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Devvret Verma 175 106 102 81 68 74 904
Trần Thị Ngân 77 0.4× 103 1.0× 132 1.3× 60 0.7× 68 1.0× 62 716
Farhan Siddiqui 141 0.8× 41 0.4× 51 0.5× 124 1.5× 28 0.4× 75 1.4k
Qingsong Xu 358 2.0× 72 0.7× 188 1.8× 258 3.2× 150 2.2× 37 1.6k
Miao Zhang 196 1.1× 76 0.7× 219 2.1× 102 1.3× 26 0.4× 59 1.1k
Jameel R. Al‐Obaidi 282 1.6× 230 2.2× 157 1.5× 71 0.9× 24 0.4× 62 1.2k
Chengcheng Chen 124 0.7× 279 2.6× 251 2.5× 70 0.9× 87 1.3× 52 1.3k
Chi‐Chang Chang 530 3.0× 92 0.9× 165 1.6× 110 1.4× 42 0.6× 133 1.5k
Chenggang Song 113 0.6× 127 1.2× 58 0.6× 73 0.9× 20 0.3× 28 598
Bhavesh Patel 111 0.6× 130 1.2× 32 0.3× 177 2.2× 33 0.5× 51 1.6k
Meenakshi Garg 71 0.4× 52 0.5× 330 3.2× 70 0.9× 137 2.0× 46 986

Countries citing papers authored by Devvret Verma

Since Specialization
Citations

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

Fields of papers citing papers by Devvret Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devvret Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Devvret Verma. A scholar is included among the top collaborators of Devvret Verma 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 Devvret Verma. Devvret Verma 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.
Chattaraj, Sourav, Saurabh Gangola, Devvret Verma, et al.. (2025). Phytonutrients: Harnessing Anti-inflammatory and Anti-cancer Potential for Health Benefits. Current Research in Nutrition and Food Science Journal. 53–71.
2.
Mitra, Debasis, et al.. (2025). Revolutionizing insights from genes: Fundamental role of data science in bioinformatics and healthcare. Indian Journal of Microbiology Research. 12(1). 21–33.
4.
Janeeshma, Edappayil, A. M. Shackira, Bahman Khoshru, et al.. (2024). Strigolactone and analogues: A new generation of plant hormones with multifactorial benefits in environmental sustainability. Environmental and Experimental Botany. 223. 105775–105775. 2 indexed citations
5.
Patil, Pritee Chunarkar, Mohammed Kaleem, Richa Mishra, et al.. (2024). Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies. Biomedicines. 12(1). 201–201. 128 indexed citations breakdown →
6.
Roy, Arpita, Devvret Verma, Siaw Foon Lee, et al.. (2024). An updated review on carbon nanomaterials: Types, synthesis, functionalization and applications, degradation and toxicity. Green Processing and Synthesis. 13(1). 8 indexed citations
7.
Elkhrachy, Ismail, Vandana Singh, Ankit Kumar, et al.. (2023). Use of biogenic silver nanoparticles on the cathode to improve bioelectricity production in microbial fuel cells. Frontiers in Chemistry. 11. 1273161–1273161. 4 indexed citations
8.
Jadhav, Vikram, Arpita Roy, Saad Alghamdi, et al.. (2023). Polyol Synthesis of Ag-Doped Copper Oxide Nanoparticles as a Methylene Blue-Degrading Agent. Catalysts. 13(7). 1143–1143. 22 indexed citations
9.
Balaji, V., et al.. (2023). Deep Transfer Learning Technique for Multimodal Disease Classification in Plant Images. Contrast Media & Molecular Imaging. 2023. 1–8. 11 indexed citations
12.
Veeraiah, Vivek, et al.. (2022). Monitoring and Controlling Data Through the Internet of Things (IOT) System: A Framework to Measure the Public Health. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 20. 226–229. 1 indexed citations
13.
Gangadharan, Syam Machinathu Parambil, et al.. (2022). Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network. Computational Intelligence and Neuroscience. 2022. 1–10. 98 indexed citations
14.
Joshi, Kapil, et al.. (2022). Computational Intelligence Approach to Improve The Classification Accuracy of Brain Tumor Detection. Figshare. 8. 1192–1196. 4 indexed citations
15.
Singh, Rajesh, et al.. (2022). Hybrid Soft Computing based Approach for Ageing in Face Recognition. 1046–1049. 1 indexed citations
16.
Verma, Devvret, et al.. (2021). Plant Leaf Disease Detection Using Mobilenetv2. 3241–3246. 8 indexed citations
17.
Tripathi, Vikas, et al.. (2021). PREDICTION OF CROP YIELD IN PRECISIONAGRICULTURE USING MACHINE LEARNINGMETHODS. 2 indexed citations
18.
Mitra, Debasis, Devvret Verma, Bhaswatımayee Mahakur, et al.. (2021). Molecular docking and simulation studies of natural compounds of Vitex negundo L. against papain-like protease (PL pro ) of SARS CoV-2 (coronavirus) to conquer the pandemic situation in the world. Journal of Biomolecular Structure and Dynamics. 40(12). 5665–5686. 31 indexed citations
19.
Verma, Devvret, Debasis Mitra, Manish Paul, et al.. (2021). Potential inhibitors of SARS-CoV-2 (COVID 19) proteases PLpro and Mpro/ 3CLpro: molecular docking and simulation studies of three pertinent medicinal plant natural components. SHILAP Revista de lepidopterología. 2. 100038–100038. 35 indexed citations
20.
Mitra, Debasis, B. Saritha, Edappayil Janeeshma, et al.. (2021). Arbuscular mycorrhizal fungal association boosted the arsenic resistance in crops with special responsiveness to rice plant. Environmental and Experimental Botany. 193. 104681–104681. 33 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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