Vikas Jain

820 total citations
58 papers, 622 citations indexed

About

Vikas Jain is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Vikas Jain has authored 58 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nuclear and High Energy Physics, 16 papers in Aerospace Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Vikas Jain's work include NMR spectroscopy and applications (16 papers), Nuclear reactor physics and engineering (13 papers) and Nuclear Engineering Thermal-Hydraulics (13 papers). Vikas Jain is often cited by papers focused on NMR spectroscopy and applications (16 papers), Nuclear reactor physics and engineering (13 papers) and Nuclear Engineering Thermal-Hydraulics (13 papers). Vikas Jain collaborates with scholars based in India, British Virgin Islands and United States. Vikas Jain's co-authors include Arun K. Nayak, Tapas K. Das, Abhijit Gosavi, R.K. Sinha, P.K. Vijayan, Dilip Saha, Chanh Cao Minh, Aria Abubakar, Po-Yen Wu and Mandar Kulkarni and has published in prestigious journals such as IEEE Access, Reliability Engineering & System Safety and Marine and Petroleum Geology.

In The Last Decade

Vikas Jain

50 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vikas Jain India	16	205	148	135	101	93	58	622
Y. Zhou China	19	127 0.6×	56 0.4×	28 0.2×	50 0.5×	483 5.2×	107	1.1k
E.M. Oblow United States	14	211 1.0×	54 0.4×	99 0.7×	29 0.3×	30 0.3×	51	538
David A. Barajas‐Solano United States	12	76 0.4×	127 0.9×	145 1.1×	55 0.5×	6 0.1×	31	887
A. Zolfaghari Iran	20	656 3.2×	99 0.7×	40 0.3×	64 0.6×	34 0.4×	101	1.2k
Maria Rightley United States	4	65 0.3×	45 0.3×	264 2.0×	22 0.2×	23 0.2×	8	640
Stefano Lorenzi Italy	18	634 3.1×	122 0.8×	143 1.1×	17 0.2×	24 0.3×	97	1.0k
Timothy Wildey United States	16	27 0.1×	57 0.4×	233 1.7×	141 1.4×	12 0.1×	52	644
Song Chen China	16	184 0.9×	170 1.1×	29 0.2×	61 0.6×	8 0.1×	88	890
Sai Hung Cheung Singapore	15	102 0.5×	99 0.7×	688 5.1×	145 1.4×	6 0.1×	46	1.1k

Countries citing papers authored by Vikas Jain

Since Specialization

Citations

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

Fields of papers citing papers by Vikas Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Jain. A scholar is included among the top collaborators of Vikas Jain 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 Vikas Jain. Vikas Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Das, Sanchali, et al.. (2025). Leveraging Deep Learning for Comprehensive Multilingual Hate Speech Detection. Procedia Computer Science. 252. 832–840. 1 indexed citations

Jain, Vikas, et al.. (2024). Enhancing Classification Power: Tree Strength-Infused Enriched Random Forest. 1–6.

Gupta, Shalini, et al.. (2024). ULTRASONIC STUDY OF BINARY MIXTURES OF DHMOH AND ACETONE AT 288.15-313.15 K. RASAYAN Journal of Chemistry. 17(4). 1621–1630.

Roy, Santanu, Rahul N. Khurana, & Vikas Jain. (2023). Log-Base2 of Gaussian kernel for nuclei segmentation from colorectal cancer H and E-stained histopathology images. 2–2.

Roy, Santanu, et al.. (2022). SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset. Computers in Biology and Medicine. 150. 106092–106092. 21 indexed citations

Jain, Vikas, et al.. (2018). New technique for accurate porosity estimation from logging-while-drilling nuclear magnetic resonance data, NGHP-02 expedition, offshore, India. Marine and Petroleum Geology. 108. 570–580. 15 indexed citations

Minh, Chanh Cao, et al.. (2018). Next Generation LWD NMR for Slim Holes. 2 indexed citations

Jain, Vikas, et al.. (2017). Scalable Generative Models for Multi-label Learning with Missing Labels. International Conference on Machine Learning. 1636–1644. 12 indexed citations

Wang, Pu, Lalitha Venkataramanan, & Vikas Jain. (2017). Sparse Clustered Bayesian-Inspired $T_{1}-T_{2}$ Inversion From Borehole NMR Measurements. IEEE Transactions on Computational Imaging. 3(2). 355–368. 11 indexed citations

10.

Venkataramanan, Lalitha, Fred K. Gruber, J.-B. Lavigne, et al.. (2014). New Method to Estimate Porosity More Accuately From NMR Data With Short Relaxation Times. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 56(2). 147–157. 6 indexed citations

11.

Jain, Vikas, et al.. (2014). Comparative Studies of Physico-Chemical Properties of the Roadside Soil at Morena (M.P.). Current World Environment. 9(1). 220–222. 4 indexed citations

12.

Jain, Vikas, et al.. (2013). ROLE OF PASSIVE SAFETY FEATURES IN PREVENTION AND MITIGATION OF SEVERE PLANT CONDITIONS IN INDIAN ADVANCED HEAVY WATER REACTOR. Nuclear Engineering and Technology. 45(5). 625–636. 9 indexed citations

13.

Kumar, Mukesh, Arun K. Nayak, Vikas Jain, P.K. Vijayan, & K.K. Vaze. (2013). MANAGING A PROLONGED STATION BLACKOUT CONDITION IN AHWR BY PASSIVE MEANS. Nuclear Engineering and Technology. 45(5). 605–612. 15 indexed citations

14.

Jain, Vikas, Arun K. Nayak, P.K. Vijayan, Dilip Saha, & R.K. Sinha. (2010). Experimental investigation on the flow instability behavior of a multi-channel boiling natural circulation loop at low-pressures. Experimental Thermal and Fluid Science. 34(6). 776–787. 42 indexed citations

15.

Arora, Ajat Shatru, et al.. (2009). Comparison of the techniques used for sgmentation of EMG signals. 173(3). 124–129. 14 indexed citations

16.

Nayak, Arun K., Vikas Jain, Manas Ranjan Gartia, et al.. (2009). Reliability assessment of passive isolation condenser system of AHWR using APSRA methodology. Reliability Engineering & System Safety. 94(6). 1064–1075. 19 indexed citations

17.

Nayak, Arun K., Vikas Jain, Manas Ranjan Gartia, et al.. (2008). Reliability assessment of passive containment isolation system using APSRA methodology. Annals of Nuclear Energy. 35(12). 2270–2279. 8 indexed citations

18.

Vijayan, P.K., Vikas Jain, Manish Sharma, et al.. (2002). AHWR integral test loop scaling philosophy and system description. 7 indexed citations

19.

Das, Tapas K., Vikas Jain, & Abhijit Gosavi. (1997). Economic design of dual-sampling-interval policies for X¯ charts with and without run rules. IIE Transactions. 29(6). 497–506. 22 indexed citations

20.

Gupta, Harsh, et al.. (1994). A scheme for the evaluation of γ-modes of a neutron diffusion equation. Annals of Nuclear Energy. 21(3). 195–199. 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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