Hari Mohan Gaur

412 total citations
22 papers, 171 citations indexed

About

Hari Mohan Gaur is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Hari Mohan Gaur has authored 22 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 15 papers in Computational Theory and Mathematics and 12 papers in Artificial Intelligence. Recurrent topics in Hari Mohan Gaur's work include Quantum-Dot Cellular Automata (15 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Quantum Computing Algorithms and Architecture (12 papers). Hari Mohan Gaur is often cited by papers focused on Quantum-Dot Cellular Automata (15 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Quantum Computing Algorithms and Architecture (12 papers). Hari Mohan Gaur collaborates with scholars based in India, Germany and United Kingdom. Hari Mohan Gaur's co-authors include Ashutosh Kumar Singh, Umesh Ghanekar, Devendra Kumar Sharma, Anand Mohan, Dhiraj K. Pradhan, Xiaoqing Wen, Vaibhav Jain, Trailokya Nath Sasamal, Masahiro Fujita and Volker Lindenstruth and has published in prestigious journals such as ACM Computing Surveys, Electronics Letters and Optik.

In The Last Decade

Hari Mohan Gaur

22 papers receiving 163 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hari Mohan Gaur India 8 126 119 107 16 15 22 171
Zahra Sasanian Canada 9 222 1.8× 85 0.7× 264 2.5× 15 0.9× 18 1.2× 10 277
Michael Kirkedal Thomsen Denmark 6 109 0.9× 50 0.4× 132 1.2× 16 1.0× 14 0.9× 13 143
Daniel Bochen Tan United States 8 44 0.3× 32 0.3× 153 1.4× 27 1.7× 52 3.5× 11 162
Thomas Gatterman United States 2 44 0.3× 38 0.3× 199 1.9× 8 0.5× 111 7.4× 2 216
David Francois United States 3 44 0.3× 38 0.3× 203 1.9× 8 0.5× 115 7.7× 5 220
Avraham Ben-Aroya Israel 7 38 0.3× 25 0.2× 72 0.7× 7 0.4× 18 1.2× 21 108
Thomas G. Draper United States 2 90 0.7× 19 0.2× 149 1.4× 6 0.4× 33 2.2× 2 152
John J. Cannon Australia 9 64 0.5× 80 0.7× 149 1.4× 3 0.2× 4 0.3× 26 264
Emmanuel Jeandel France 5 82 0.7× 10 0.1× 86 0.8× 4 0.3× 17 1.1× 16 128
Alexander Poremba United States 3 45 0.4× 27 0.2× 217 2.0× 9 0.6× 91 6.1× 5 229

Countries citing papers authored by Hari Mohan Gaur

Since Specialization
Citations

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

Fields of papers citing papers by Hari Mohan Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hari Mohan Gaur. 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 Hari Mohan Gaur. The network helps show where Hari Mohan Gaur may publish in the future.

Co-authorship network of co-authors of Hari Mohan Gaur

This figure shows the co-authorship network connecting the top 25 collaborators of Hari Mohan Gaur. A scholar is included among the top collaborators of Hari Mohan Gaur 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 Hari Mohan Gaur. Hari Mohan Gaur 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.
Ronchetti, F., Valentina Akishina, Jan de Cuveland, et al.. (2025). Efficient high performance computing with the ALICE event processing nodes GPU-based farm. Frontiers in Physics. 13. 1 indexed citations
2.
Sharma, Devendra Kumar, et al.. (2023). Comprehensive and Comparative Analysis of QCA-based Circuit Designs for Next-generation Computation. ACM Computing Surveys. 56(5). 1–36. 7 indexed citations
3.
Jain, Vaibhav, Devendra Kumar Sharma, & Hari Mohan Gaur. (2023). Fault-tolerant design of shift register using multilayer crossover in QCA. The European Physical Journal Plus. 138(5). 4 indexed citations
4.
Sharma, Devendra Kumar, et al.. (2023). Faster access cost-efficient design of RAM cell using multilayer crossover in QCA. The European Physical Journal Plus. 138(3). 3 indexed citations
5.
Sasamal, Trailokya Nath, Hari Mohan Gaur, Ashutosh Kumar Singh, & Xiaoqing Wen. (2023). Quantum-Dot Cellular Automata Circuits for Nanocomputing Applications. 2 indexed citations
6.
Gaur, Hari Mohan, et al.. (2022). Cost Optimized Design of Full Adder in QCA Technology. 1–6. 1 indexed citations
7.
Gaur, Hari Mohan, Ashutosh Kumar Singh, & Umesh Ghanekar. (2022). An Efficient Design of Scalable Reversible Multiplier with Testability. Journal of Circuits Systems and Computers. 31(10). 4 indexed citations
8.
Verma, Abhishek, Jitendra Kumar, Hari Mohan Gaur, Vrijendra Singh, & Valentina Emilia Bălaş. (2022). Advances in Cyber Security and Intelligent Analytics. 1 indexed citations
9.
Sharma, Devendra Kumar, et al.. (2022). Area and energy optimized multilayer QCA-based 4N-bit scalable multiplier (M4N-MUL). The European Physical Journal Plus. 137(11). 3 indexed citations
10.
Gaur, Hari Mohan, Ashutosh Kumar Singh, & Umesh Ghanekar. (2020). Design for Stuck-at Fault Testability in Toffoli–Fredkin Reversible Circuits. National Academy Science Letters. 44(3). 215–220. 3 indexed citations
11.
Gaur, Hari Mohan, Ashutosh Kumar Singh, & Umesh Ghanekar. (2019). Simplification and modification of multiple controlled Toffoli circuits for testability. Journal of Computational Electronics. 18(1). 356–363. 7 indexed citations
12.
Singh, Ashutosh Kumar, Hari Mohan Gaur, & Umesh Ghanekar. (2019). Fault detection in multiple controlled Fredkin circuits. IET Circuits Devices & Systems. 13(5). 723–729. 5 indexed citations
13.
Gaur, Hari Mohan, Ashutosh Kumar Singh, Anand Mohan, & Dhiraj K. Pradhan. (2019). Computational analysis and comparison of reversible gates for design and test of logic circuits. International Journal of Electronics. 106(11). 1679–1693. 11 indexed citations
14.
Gaur, Hari Mohan, Ashutosh Kumar Singh, & Umesh Ghanekar. (2019). Design of Reversible Arithmetic Logic Unit with Built-In Testability. IEEE Design and Test. 36(5). 54–61. 9 indexed citations
15.
Gaur, Hari Mohan, et al.. (2018). Design for Stuck-at Fault Testability in MCT based Reversible Circuits. Defence Science Journal. 68(4). 381–381. 5 indexed citations
16.
Gaur, Hari Mohan, Ashutosh Kumar Singh, & Umesh Ghanekar. (2018). Offline Testing of Reversible Logic Circuits: An Analysis. Integration. 62. 50–67. 12 indexed citations
17.
Gaur, Hari Mohan, Ashutosh Kumar Singh, & Umesh Ghanekar. (2017). Testable Design of Reversible Circuits Using Parity Preserving Gates. IEEE Design and Test. 35(4). 56–64. 16 indexed citations
18.
Gaur, Hari Mohan & Ashutosh Kumar Singh. (2016). Design of reversible circuits with high testability. Electronics Letters. 52(13). 1102–1104. 23 indexed citations
19.
Gaur, Hari Mohan, Ashutosh Kumar Singh, & Umesh Ghanekar. (2016). A new DFT methodology for k-CNOT reversible circuits and its implementation using quantum-dot cellular automata. Optik. 127(22). 10593–10601. 13 indexed citations
20.
Gaur, Hari Mohan, Ashutosh Kumar Singh, & Umesh Ghanekar. (2015). A Review on Online Testability for Reversible Logic. Procedia Computer Science. 70. 384–391. 18 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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