T. Som

3.3k total citations
201 papers, 2.8k citations indexed

About

T. Som is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, T. Som has authored 201 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Electrical and Electronic Engineering, 110 papers in Materials Chemistry and 94 papers in Computational Mechanics. Recurrent topics in T. Som's work include Ion-surface interactions and analysis (91 papers), ZnO doping and properties (42 papers) and Integrated Circuits and Semiconductor Failure Analysis (32 papers). T. Som is often cited by papers focused on Ion-surface interactions and analysis (91 papers), ZnO doping and properties (42 papers) and Integrated Circuits and Semiconductor Failure Analysis (32 papers). T. Som collaborates with scholars based in India, Germany and Singapore. T. Som's co-authors include Mohit Kumar, Biswarup Satpati, Ranveer Singh, T. Basu, D. Kanjilal, A. Kanjilal, D.P. Datta, S.N. Sarangi, V. N. Kulkarni and Mahesh Saini and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

T. Som

199 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Som India 27 1.7k 1.7k 848 387 375 201 2.8k
Li Huang Singapore 27 1.5k 0.8× 1.2k 0.7× 660 0.8× 635 1.6× 864 2.3× 55 3.3k
V. A. Gritsenko Russia 38 4.1k 2.4× 2.9k 1.7× 210 0.2× 503 1.3× 411 1.1× 255 4.8k
Michele Perego Italy 32 2.0k 1.1× 2.1k 1.2× 291 0.3× 503 1.3× 257 0.7× 155 3.2k
Alois Lugstein Austria 32 1.8k 1.0× 1.2k 0.7× 378 0.4× 1.3k 3.4× 320 0.9× 165 3.5k
V. I. Merkulov United States 30 815 0.5× 2.6k 1.5× 226 0.3× 308 0.8× 234 0.6× 57 3.3k
Yasuhito Gotoh Japan 23 968 0.6× 956 0.6× 525 0.6× 259 0.7× 111 0.3× 203 1.9k
T. Wágner Czechia 31 2.3k 1.3× 3.0k 1.8× 169 0.2× 425 1.1× 477 1.3× 220 3.8k
Alberto Palmero Spain 26 853 0.5× 869 0.5× 295 0.3× 254 0.7× 294 0.8× 72 1.9k
Junzo Ishikawa Japan 25 871 0.5× 757 0.4× 743 0.9× 281 0.7× 86 0.2× 147 1.9k
Hiroyuki Niino Japan 29 637 0.4× 850 0.5× 1.4k 1.6× 317 0.8× 210 0.6× 196 2.8k

Countries citing papers authored by T. Som

Since Specialization
Citations

This map shows the geographic impact of T. Som'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 T. Som with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Som more than expected).

Fields of papers citing papers by T. Som

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Som

This figure shows the co-authorship network connecting the top 25 collaborators of T. Som. A scholar is included among the top collaborators of T. Som 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 T. Som. T. Som 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.
2.
Ranjan, Mukesh, et al.. (2025). Low-Energy Ion-Implanted Nanometer-Thick Metal Oxide Memristor for Random Number Generation at the Nanoscale. ACS Applied Nano Materials. 8(13). 6327–6335. 3 indexed citations
3.
Sivakumar, R., et al.. (2024). Controllable physicochemical properties of WOx thin films grown under glancing angle. Beilstein Journal of Nanotechnology. 15. 350–359. 4 indexed citations
4.
Som, T., et al.. (2024). Towards on-receptor computing: Electronic nociceptor embedded neuromorphic functionalities at nanoscale. Applied Materials Today. 37. 102103–102103. 19 indexed citations
5.
Saini, Mahesh, Mohit Kumar, Nilanjan Basu, et al.. (2023). Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiOx Surface. Small. 20(7). e2305605–e2305605. 8 indexed citations
6.
Sen, Raja, et al.. (2022). Combining experimental and modelling approaches to understand the expansion of lattice parameter of epitaxial SrTi1-xTaxO3 (x = 0–0.1) films. Computational Materials Science. 217. 111917–111917. 2 indexed citations
7.
Meena, Ramcharan, Ashish Kumar, T. Som, et al.. (2021). Understanding the role of structural distortions on the transport properties of Ar ion irradiated SrTiO3 thin films: X-ray absorption investigation. Journal of Applied Physics. 130(17). 2 indexed citations
8.
Meena, Ramcharan, et al.. (2021). Structural and electrical transport properties of Ge implanted CoSb3 thin films and their conduction mechanisms. Journal of Materials Science Materials in Electronics. 32(23). 27801–27814. 2 indexed citations
9.
Maity, G., Rahul Singhal, P. K. Kulriya, et al.. (2021). Influence of fractal and multifractal morphology on the wettability and reflectivity of crystalline-Si thin film surfaces as photon absorber layers for solar cell. Journal of Applied Physics. 129(4). 22 indexed citations
10.
Kumar, Ashish, et al.. (2020). Defects assisted structural and electrical properties of Ar ion irradiated TiO2/SrTiO3 bilayer. Materials Letters. 282. 128880–128880. 2 indexed citations
11.
Haque, S. Maidul, et al.. (2020). Temperature threshold for localized surface plasmon resonance in glancing angle deposited ultra-thin silver films. Journal of Physics Condensed Matter. 32(39). 395701–395701. 3 indexed citations
12.
Bala, Manju, Ranveer Singh, Vineet Barwal, et al.. (2019). Effect of Fe ion implantation on the thermoelectric properties and electronic structures of CoSb3 thin films. RSC Advances. 9(62). 36113–36122. 22 indexed citations
13.
Haque, S. Maidul, et al.. (2019). Optical, Photocatalytic and Wetting Behavior of GLAD N2‐TiO2 Films. physica status solidi (a). 216(14). 3 indexed citations
14.
Garg, S.K., Rodolfo Cuerno, D. Kanjilal, & T. Som. (2016). Anomalous behavior in temporal evolution of ripple wavelength under medium energy Ar+-ion bombardment on Si: A case of initial wavelength selection. Journal of Applied Physics. 119(22). 5 indexed citations
15.
16.
Kumar, Mohit, S. Mookerjee, & T. Som. (2016). Field-induced doping-mediated tunability in work function of Al-doped ZnO: Kelvin probe force microscopy and first-principle theory. Nanotechnology. 27(37). 375702–375702. 19 indexed citations
17.
Basu, T., D.P. Datta, & T. Som. (2013). Transition from ripples to faceted structures under low-energy argon ion bombardment of silicon: understanding the role of shadowing and sputtering. Nanoscale Research Letters. 8(1). 289–289. 49 indexed citations
18.
Pereira, L. M. C., T. Som, J. Demeulemeester, et al.. (2011). Paramagnetism and antiferromagnetic interactions in Cr-doped GaN. Journal of Physics Condensed Matter. 23(34). 346004–346004. 9 indexed citations
19.
Sivakumar, R., C. Sanjeeviraja, M. Jayachandran, et al.. (2007). Modification of WO3thin films by MeV N+-ion beam irradiation. Journal of Physics Condensed Matter. 19(18). 186204–186204. 30 indexed citations
20.
Som, T., Biswarup Satpati, P.V. Satyam, Pushan Ayyub, & D. Kabiraj. (2003). Swift heavy ion induced formation of preferentially oriented Au0.6Ge0.4 alloy. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 212. 151–156. 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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