Arvind Gautam

1.1k total citations
36 papers, 823 citations indexed

About

Arvind Gautam is a scholar working on Materials Chemistry, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Arvind Gautam has authored 36 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 12 papers in Biomedical Engineering and 5 papers in Organic Chemistry. Recurrent topics in Arvind Gautam's work include Material Dynamics and Properties (6 papers), Advanced Polymer Synthesis and Characterization (5 papers) and Shape Memory Alloy Transformations (4 papers). Arvind Gautam is often cited by papers focused on Material Dynamics and Properties (6 papers), Advanced Polymer Synthesis and Characterization (5 papers) and Shape Memory Alloy Transformations (4 papers). Arvind Gautam collaborates with scholars based in India, Australia and Belgium. Arvind Gautam's co-authors include Amit Acharyya, Madhuri Panwar, Dwaipayan Biswas, Kumardeep Chaudhary, Gajendra P. S. Raghava, Atul Tyagi, Rahul Kumar, Pallavi Kapoor, Harinder Singh and Avadhesh Kumar Yadav and has published in prestigious journals such as IEEE Access, RSC Advances and Journal of Alloys and Compounds.

In The Last Decade

Arvind Gautam

36 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arvind Gautam India 12 299 295 134 107 107 36 823
Tianyu Li China 18 354 1.2× 256 0.9× 15 0.1× 12 0.1× 119 1.1× 57 1.1k
Marzia Bedoni Italy 24 438 1.5× 876 3.0× 25 0.2× 12 0.1× 112 1.0× 61 1.6k
Young-Zoon Yoon South Korea 11 439 1.5× 135 0.5× 188 1.4× 5 0.0× 72 0.7× 13 761
Yuhong Xu China 18 836 2.8× 1.3k 4.5× 29 0.2× 14 0.1× 48 0.4× 28 2.4k
Zhuoran Zhang China 22 568 1.9× 155 0.5× 24 0.2× 5 0.0× 82 0.8× 73 1.3k
Zhengxing Li United States 14 969 3.2× 266 0.9× 9 0.1× 18 0.2× 119 1.1× 28 1.6k
Zhaotian Zhang China 14 173 0.6× 236 0.8× 5 0.0× 104 1.0× 71 0.7× 66 940
Daiki Kato Japan 18 90 0.3× 197 0.7× 53 0.4× 10 0.1× 145 1.4× 130 978
Jennifer J. Pastore United States 8 584 2.0× 300 1.0× 29 0.2× 60 0.6× 97 0.9× 11 1.7k

Countries citing papers authored by Arvind Gautam

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Gautam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Gautam

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Gautam. A scholar is included among the top collaborators of Arvind Gautam 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 Arvind Gautam. Arvind Gautam 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.
Gautam, Arvind, et al.. (2024). Molecular dynamic study to investigate the system size effects on tetrahedral materials in supercooled region. Materials Today Proceedings. 111. 193–198. 1 indexed citations
2.
Gautam, Arvind, et al.. (2024). Molecular dynamics study on relaxation of supercooled liquid water at different cooling rates. Materials Today Communications. 39. 108777–108777. 2 indexed citations
3.
Gautam, Arvind, et al.. (2023). ZnO 2 ‐Based Carbon Composite Doped with Sulphur for the Removal of Highly Toxic Thiamethoxam from Wastewater. ChemistrySelect. 8(46). 1 indexed citations
4.
Chandra, Avinash, et al.. (2023). Enzyme-assisted turmeric oil extraction from turmeric rhizomes. Chemical and Process Engineering New Frontiers. 3 indexed citations
5.
Pant, R. P., Vidya Nand Singh, Komal Jain, & Arvind Gautam. (2023). Material Aspects of Ferrofluids. ePrints@IISc (Indian Institute of Science). 7 indexed citations
6.
7.
Verma, Ajay Kumar, Bhasker Gahtori, Arvind Gautam, et al.. (2021). Field dependence of magnetic entropy change in Mn5Ge3 near room temperature. Journal of Alloys and Compounds. 876. 159908–159908. 20 indexed citations
8.
Gautam, Arvind & Kuldeep Singh. (2021). Preparation and characterization of fragrance by extracting the essential oils from different raw materials. Journal of the Indian Chemical Society. 98(11). 100178–100178. 2 indexed citations
9.
Gautam, Arvind, Madhuri Panwar, Sridhar P. Arjunan, et al.. (2020). Locomo-Net: A Low -Complex Deep Learning Framework for sEMG-Based Hand Movement Recognition for Prosthetic Control. IEEE Journal of Translational Engineering in Health and Medicine. 8. 1–12. 49 indexed citations
10.
Gautam, Arvind, Madhuri Panwar, Dwaipayan Biswas, & Amit Acharyya. (2020). MyoNet: A Transfer-Learning-Based LRCN for Lower Limb Movement Recognition and Knee Joint Angle Prediction for Remote Monitoring of Rehabilitation Progress From sEMG. IEEE Journal of Translational Engineering in Health and Medicine. 8. 1–10. 86 indexed citations
11.
Gautam, Arvind & Avinash Chandra. (2020). A computational study of excess properties for mW potential model of water in supercooled region. Physica A Statistical Mechanics and its Applications. 548. 124495–124495. 1 indexed citations
12.
Panwar, Madhuri, Arvind Gautam, Dwaipayan Biswas, & Amit Acharyya. (2020). PP-Net: A Deep Learning Framework for PPG-Based Blood Pressure and Heart Rate Estimation. IEEE Sensors Journal. 20(17). 10000–10011. 169 indexed citations
13.
Saikia, Prakash J., et al.. (2019). RAFT mediated miniemulsion copolymerization of ethylene and BMA and their non-isothermal model-free kinetic analysis. Polymer Bulletin. 76(12). 6437–6458. 1 indexed citations
14.
Gautam, Arvind, Neide Simões‐Capela, Giuseppina Schiavone, et al.. (2018). A Data Driven Empirical Iterative Algorithm for GSR Signal Pre-Processing. 1162–1166. 14 indexed citations
15.
Gautam, Arvind, et al.. (2017). Poly(ethylene-co-BMA) via dual concurrent ATRP–RAFT and its thermokinetic study. Journal of Thermal Analysis and Calorimetry. 131(2). 1517–1526. 13 indexed citations
16.
Baruah, Reshita, et al.. (2016). Native hydrocarbonoclastic bacteria and hydrocarbon mineralization processes. International Biodeterioration & Biodegradation. 112. 18–30. 11 indexed citations
17.
18.
Mehta, Divya, Paras Anand, Vinod Kumar, et al.. (2014). ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures. Database. 2014(0). bau051–bau051. 69 indexed citations
19.
Gautam, Arvind, Harinder Singh, Atul Tyagi, et al.. (2012). CPPsite: a curated database of cell penetrating peptides. Database. 2012(0). bas015–bas015. 165 indexed citations
20.
Dredge, Keith, Edward Hammond, Keith Davis, et al.. (2009). The PG500 series: novel heparan sulfate mimetics as potent angiogenesis and heparanase inhibitors for cancer therapy. Investigational New Drugs. 28(3). 276–283. 95 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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