Manish Kumar Jaiswal

758 total citations
35 papers, 511 citations indexed

About

Manish Kumar Jaiswal is a scholar working on Computational Theory and Mathematics, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Manish Kumar Jaiswal has authored 35 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 15 papers in Signal Processing and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Manish Kumar Jaiswal's work include Numerical Methods and Algorithms (20 papers), Digital Filter Design and Implementation (15 papers) and Low-power high-performance VLSI design (9 papers). Manish Kumar Jaiswal is often cited by papers focused on Numerical Methods and Algorithms (20 papers), Digital Filter Design and Implementation (15 papers) and Low-power high-performance VLSI design (9 papers). Manish Kumar Jaiswal collaborates with scholars based in Hong Kong, India and United Kingdom. Manish Kumar Jaiswal's co-authors include Hayden Kwok‐Hay So, Ray C. C. Cheung, Zahid Ullah, Nitin Chandrachoodan, Kolin Paul, S. Balakrishnan, Y.C. Chan, Vikash Kumar Singh, Anuj Sharma and Anuj K. Sharma and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Manish Kumar Jaiswal

34 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Kumar Jaiswal Hong Kong 13 294 236 221 195 95 35 511
Debjit Das Sarma United States 8 163 0.6× 214 0.9× 153 0.7× 78 0.4× 88 0.9× 9 395
Jason D. Bakos United States 11 164 0.6× 130 0.6× 87 0.4× 152 0.8× 45 0.5× 64 484
F. El-Guibaly Canada 11 195 0.7× 257 1.1× 104 0.5× 82 0.4× 102 1.1× 50 439
Jing-Yang Jou Taiwan 13 581 2.0× 564 2.4× 172 0.8× 296 1.5× 23 0.2× 114 901
Shiann-Rong Kuang Taiwan 11 174 0.6× 363 1.5× 163 0.7× 78 0.4× 60 0.6× 33 591
Jiawei Hong United States 10 235 0.8× 119 0.5× 182 0.8× 310 1.6× 21 0.2× 27 525
Paulo Flores Portugal 15 189 0.6× 372 1.6× 360 1.6× 54 0.3× 404 4.3× 81 731
Abhishek Das India 10 371 1.3× 77 0.3× 97 0.4× 334 1.7× 34 0.4× 28 627
Guy Bois Canada 11 315 1.1× 293 1.2× 114 0.5× 124 0.6× 45 0.5× 80 568
Byeong‐Gyu Nam South Korea 10 172 0.6× 221 0.9× 184 0.8× 110 0.6× 131 1.4× 39 443

Countries citing papers authored by Manish Kumar Jaiswal

Since Specialization
Citations

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

Fields of papers citing papers by Manish Kumar Jaiswal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manish Kumar Jaiswal. 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 Manish Kumar Jaiswal. The network helps show where Manish Kumar Jaiswal may publish in the future.

Co-authorship network of co-authors of Manish Kumar Jaiswal

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Kumar Jaiswal. A scholar is included among the top collaborators of Manish Kumar Jaiswal 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 Manish Kumar Jaiswal. Manish Kumar Jaiswal 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.
Jaiswal, Manish Kumar & Hayden Kwok‐Hay So. (2019). PACoGen: A Hardware Posit Arithmetic Core Generator. IEEE Access. 7. 74586–74601. 57 indexed citations
2.
Jaiswal, Manish Kumar & Hayden Kwok‐Hay So. (2018). Universal number posit arithmetic generator on FPGA. 1159–1162. 35 indexed citations
3.
Jaiswal, Manish Kumar & Hayden Kwok‐Hay So. (2018). Architecture Generator for Type-3 Unum Posit Adder/Subtractor. 1–5. 27 indexed citations
4.
Jaiswal, Manish Kumar & Hayden Kwok‐Hay So. (2017). An Unified Architecture for Single, Double, Double-Extended, and Quadruple Precision Division. Circuits Systems and Signal Processing. 37(1). 383–407. 3 indexed citations
5.
Jaiswal, Manish Kumar & Hayden Kwok‐Hay So. (2016). Architecture for quadruple precision floating point division with multi-precision support. The HKU Scholars Hub (University of Hong Kong). 239–240. 5 indexed citations
6.
Jaiswal, Manish Kumar & Hayden Kwok‐Hay So. (2016). Area-Efficient Architecture for Dual-Mode Double Precision Floating Point Division. IEEE Transactions on Circuits and Systems I Regular Papers. 64(2). 386–398. 12 indexed citations
7.
Wang, Maolin, Ho-Cheung Ng, Manish Kumar Jaiswal, et al.. (2016). Real-time object detection and classification for high-speed asymmetric-detection time-stretch optical microscopy on FPGA. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 261–264. 2 indexed citations
8.
Jaiswal, Manish Kumar & Hayden Kwok‐Hay So. (2016). Taylor Series Based Architecture for Quadruple Precision Floating Point Division. The HKU Scholars Hub (University of Hong Kong). 518–523. 7 indexed citations
9.
Ullah, Zahid, Manish Kumar Jaiswal, Ray C. C. Cheung, & Hayden Kwok‐Hay So. (2015). UE-TCAM: An ultra efficient SRAM-based TCAM. 1–6. 42 indexed citations
10.
Jaiswal, Manish Kumar, Sandeep Sharma, & Anuj K. Sharma. (2015). Implementation of high‐speed–low‐power adaptive finite impulse response filter with novel architecture. The Journal of Engineering. 2015(3). 86–91. 2 indexed citations
11.
Jaiswal, Manish Kumar, et al.. (2015). Configurable Architectures for Multi-Mode Floating Point Adders. IEEE Transactions on Circuits and Systems I Regular Papers. 62(8). 2079–2090. 6 indexed citations
12.
Jaiswal, Manish Kumar & Hayden Kwok‐Hay So. (2015). Dual-mode double precision / two-parallel single precision floating point multiplier architecture. 213–218. 9 indexed citations
13.
Jaiswal, Manish Kumar, Ray C. C. Cheung, S. Balakrishnan, & Kolin Paul. (2014). Unified Architecture for Double/Two-Parallel Single Precision Floating Point Adder. IEEE Transactions on Circuits & Systems II Express Briefs. 61(7). 521–525. 15 indexed citations
14.
Jaiswal, Manish Kumar, Anuj Sharma, & Vikash Kumar Singh. (2013). A Survey on Spectrum Sensing Techniques for Cognitive Radio. 593–606. 10 indexed citations
15.
Jaiswal, Manish Kumar. (2013). Acceleration of Correlation Matrix on Heterogeneous Multi-Core CELL-BE Platform.
16.
Jaiswal, Manish Kumar & Ray C. C. Cheung. (2013). Area-efficient architectures for double precision multiplier on FPGA, with run-time-reconfigurable dual single precision support. Microelectronics Journal. 44(5). 421–430. 21 indexed citations
17.
Jaiswal, Manish Kumar & Ray C. C. Cheung. (2012). Area-Efficient Architectures for Large Integer and Quadruple Precision Floating Point Multipliers. 38. 25–28. 10 indexed citations
18.
Ullah, Zahid, Manish Kumar Jaiswal, Y.C. Chan, & Ray C. C. Cheung. (2012). FPGA Implementation of SRAM-based Ternary Content Addressable Memory. 56. 383–389. 17 indexed citations
19.
Jaiswal, Manish Kumar & Nitin Chandrachoodan. (2008). Efficient Implementation of IEEE Double Precision Floating-Point Multiplier on FPGA. 1–4. 4 indexed citations
20.

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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