Rajesh Panda

1.3k total citations
56 papers, 945 citations indexed

About

Rajesh Panda is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Control and Systems Engineering. According to data from OpenAlex, Rajesh Panda has authored 56 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 16 papers in Hardware and Architecture and 5 papers in Control and Systems Engineering. Recurrent topics in Rajesh Panda's work include Low-power high-performance VLSI design (25 papers), VLSI and FPGA Design Techniques (18 papers) and VLSI and Analog Circuit Testing (15 papers). Rajesh Panda is often cited by papers focused on Low-power high-performance VLSI design (25 papers), VLSI and FPGA Design Techniques (18 papers) and VLSI and Analog Circuit Testing (15 papers). Rajesh Panda collaborates with scholars based in United States, India and Lebanon. Rajesh Panda's co-authors include David Blaauw, Min Zhao, Sachin S. Sapatnekar, V. Zolotov, Prashant Kumar Tiwari, Tim Edwards, Supamas Sirichotiyakul, Subhojit Dawn, Chanhee Oh and Arup Kumar Goswami and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industry Applications and IEEE Transactions on Sustainable Energy.

In The Last Decade

Rajesh Panda

54 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajesh Panda United States 15 814 301 68 50 42 56 945
Mahesh B. Patil India 14 414 0.5× 30 0.1× 22 0.3× 36 0.7× 56 1.3× 78 531
James Langston United States 16 943 1.2× 65 0.2× 135 2.0× 929 18.6× 46 1.1× 70 1.2k
Shaohua Ma China 12 332 0.4× 76 0.3× 10 0.1× 160 3.2× 11 0.3× 68 449
E. Jan W. ter Maten Netherlands 11 143 0.2× 30 0.1× 53 0.8× 58 1.2× 14 0.3× 39 296
M. Cacciari Italy 16 368 0.5× 39 0.1× 2 0.0× 50 1.0× 21 0.5× 22 597
Pawan Goyal Germany 13 109 0.1× 19 0.1× 27 0.4× 108 2.2× 39 0.9× 47 634
Salvatore Rinaudo Italy 9 194 0.2× 24 0.1× 34 0.5× 12 0.2× 19 0.5× 41 284
Matthias Bucher Greece 22 1.3k 1.7× 31 0.1× 9 0.1× 181 3.6× 325 7.7× 118 1.5k
Mehmet A. Belen Türkiye 17 503 0.6× 6 0.0× 35 0.5× 15 0.3× 33 0.8× 76 809
M. Steurer United States 11 497 0.6× 18 0.1× 40 0.6× 390 7.8× 31 0.7× 32 651

Countries citing papers authored by Rajesh Panda

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Panda

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Panda. A scholar is included among the top collaborators of Rajesh Panda 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 Rajesh Panda. Rajesh Panda 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.
Panda, Rajesh & Prashant Kumar Tiwari. (2025). Cross-Entropy Based Risk Assessment and Forecasting of Secured Hybrid System Using Bi-LSTM Based AM Deep Learning Model. IEEE Transactions on Industry Applications. 61(3). 4661–4674.
2.
Panda, Rajesh, Dinesh Gupta, K. Sivakumar, et al.. (2024). Conserving Freshwater Ecosystems in India: A call to action. Aquatic Conservation Marine and Freshwater Ecosystems. 34(5). 5 indexed citations
3.
Panda, Rajesh, et al.. (2024). Optimal Power Allocation of BESS in Microgrid using Machine Learning Techniques. 1–6. 1 indexed citations
4.
5.
Sahoo, Ashwin Kumar, et al.. (2023). Optimal power allocation of battery energy storage system (BESS) using dense LSTM in active distribution network. Energy Storage. 6(1). 10 indexed citations
6.
Sahoo, Ashwin Kumar, et al.. (2023). Day-ahead profit forecasting of microgrid using LSTM algorithm. 80–84. 2 indexed citations
7.
Dawn, Subhojit, Prashant Kumar Tiwari, Arup Kumar Goswami, Ankit Singh, & Rajesh Panda. (2019). Wind power: Existing status, achievements and government's initiative towards renewable power dominating India. Energy Strategy Reviews. 23. 178–199. 72 indexed citations
8.
Tiwari, Prashant Kumar, et al.. (2019). Frequency Regulation in Deregulated Power Markets: A Review. SSRN Electronic Journal. 1 indexed citations
9.
Dawn, Subhojit, Prashant Kumar Tiwari, Arup Kumar Goswami, & Rajesh Panda. (2018). An Approach for System Risk Assessment and Mitigation by Optimal Operation of Wind Farm and FACTS Devices in a Centralized Competitive Power Market. IEEE Transactions on Sustainable Energy. 10(3). 1054–1065. 30 indexed citations
10.
Panda, Rajesh & Prashant Kumar Tiwari. (2018). Economic risk‐based bidding strategy for profit maximisation of wind‐integrated day‐ahead and real‐time double‐auctioned competitive power markets. IET Generation Transmission & Distribution. 13(2). 209–218. 14 indexed citations
11.
Ghanta, Praveen, Sarma Vrudhula, Rajesh Panda, & James Wang. (2005). Stochastic Power Grid Analysis Considering Process Variations. Design, Automation, and Test in Europe. 964–969. 38 indexed citations
12.
Zhao, Min, Yuhong Fu, V. Zolotov, Savithri Sundareswaran, & Rajesh Panda. (2005). Optimal placement of power-supply pads and pins. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 25(1). 144–154. 12 indexed citations
13.
Gavrilov, S. V., et al.. (2005). Delay noise pessimism reduction by logic correlations. 160–167. 10 indexed citations
14.
Gavrilov, S. V., et al.. (2004). False-noise analysis for domino circuits. Design, Automation, and Test in Europe. 2. 20784. 1 indexed citations
15.
Oh, Chanhee, et al.. (2004). Static electromigration analysis for signal interconnects. 377–382. 4 indexed citations
16.
Blaauw, David, V. Zolotov, Kaushik Gala, et al.. (2003). Fast on-chip inductance simulation using a precorrected-FFT method. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 22(1). 49–66. 8 indexed citations
17.
Blaauw, David, et al.. (2003). Early probabilistic noise estimation for capacitively coupled interconnects. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 22(3). 337–345. 13 indexed citations
18.
Panda, Rajesh & Farid N. Najm. (2002). Technology decomposition for low-power synthesis. 627–630. 8 indexed citations
19.
Gavrilov, S. V., et al.. (1997). Library-less synthesis for static CMOS combinational logic circuits. International Conference on Computer Aided Design. 658–662. 28 indexed citations
20.
Safari, A., et al.. (1996). Fabrication of Fine-Scale 1-3 Pb(Zrx,Ti1-x)O3 Ceramic/Polymer Composites Using a Modified Lost Mold Method.. Proc SPIE. 2721. 251–262. 7 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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