Deepak Kamalanathan

554 total citations
9 papers, 381 citations indexed

About

Deepak Kamalanathan is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Deepak Kamalanathan has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 2 papers in Polymers and Plastics and 2 papers in Materials Chemistry. Recurrent topics in Deepak Kamalanathan's work include Semiconductor materials and devices (7 papers), Advanced Memory and Neural Computing (7 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Deepak Kamalanathan is often cited by papers focused on Semiconductor materials and devices (7 papers), Advanced Memory and Neural Computing (7 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Deepak Kamalanathan collaborates with scholars based in United States, Italy and India. Deepak Kamalanathan's co-authors include Michael N. Kozicki, Ugo Russo, Daniele Ielmini, Andrea L. Lacaita, John R. Jameson, M.N. Kozicki, Ali Akhavan, Shane Hollmer and David R. Allee and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Electron Devices and Nanotechnology.

In The Last Decade

Deepak Kamalanathan

9 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Kamalanathan United States	5	373	138	107	85	23	9	381
Shane Hollmer United States	8	344 0.9×	106 0.8×	78 0.7×	70 0.8×	22 1.0×	10	358
Patrick R. Mickel United States	13	460 1.2×	203 1.5×	68 0.6×	96 1.1×	52 2.3×	33	489
Foroozan Koushan United States	7	357 1.0×	130 0.9×	77 0.7×	74 0.9×	35 1.5×	12	366
C. Liu South Korea	3	369 1.0×	102 0.7×	145 1.4×	119 1.4×	26 1.1×	5	376
Hyung Dong Lee South Korea	7	344 0.9×	63 0.5×	124 1.2×	128 1.5×	10 0.4×	14	356
Wei-Su Chen Taiwan	15	594 1.6×	163 1.2×	131 1.2×	138 1.6×	11 0.5×	39	612
Eszter Piros Germany	11	342 0.9×	91 0.7×	66 0.6×	103 1.2×	19 0.8×	25	368
Shuichiro Yasuda United States	6	305 0.8×	62 0.4×	96 0.9×	122 1.4×	12 0.5×	9	331
D. J. Seong South Korea	9	562 1.5×	82 0.6×	208 1.9×	210 2.5×	12 0.5×	9	579
Jiun-Jia Huang Taiwan	10	529 1.4×	112 0.8×	103 1.0×	101 1.2×	12 0.5×	19	541

Countries citing papers authored by Deepak Kamalanathan

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Kamalanathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Kamalanathan

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

All Works

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9 of 9 papers shown

1.

Kamalanathan, Deepak, et al.. (2022). Evaluation of Hardness and Fracture Toughness of Feldspathic Porcelain by Various Surface Finishing Techniques. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 1 indexed citations

2.

Kamalanathan, Deepak, et al.. (2021). Effect of Cocos nucifera Oil in the Management of Post-denture Insertion Mucosal Changes: A Cross-sectional Survey. World Journal of Dentistry. 13(1). 62–66. 2 indexed citations

3.

Kamalanathan, Deepak, et al.. (2016). An Ultra Low-Power Non-Volatile Memory Design Enabled by Subquantum Conductive-Bridge RAM. 98. 1–4. 4 indexed citations

4.

Jameson, John R. & Deepak Kamalanathan. (2016). Subquantum conductive-bridge memory. Applied Physics Letters. 108(5). 28 indexed citations

5.

Kamalanathan, Deepak, Ali Akhavan, & M.N. Kozicki. (2011). Low voltage cycling of programmable metallization cell memory devices. Nanotechnology. 22(25). 254017–254017. 13 indexed citations

6.

Russo, Ugo, Deepak Kamalanathan, Daniele Ielmini, Andrea L. Lacaita, & Michael N. Kozicki. (2009). Study of Multilevel Programming in Programmable Metallization Cell (PMC) Memory. IEEE Transactions on Electron Devices. 56(5). 1040–1047. 261 indexed citations

7.

Kamalanathan, Deepak, Ugo Russo, Daniele Ielmini, & Michael N. Kozicki. (2009). Voltage-Driven On–Off Transition and Tradeoff With Program and Erase Current in Programmable Metallization Cell (PMC) Memory. IEEE Electron Device Letters. 30(5). 553–555. 61 indexed citations

8.

Kamalanathan, Deepak, et al.. (2007). ON State Stability of Programmable Metalization Cell (PMC) Memory. 91–96. 8 indexed citations

9.

Kamalanathan, Deepak, et al.. (2007). Solid electrolyte memory for flexible electronics. 86–90. 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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