Prabhat Ranjan Singh

441 total citations
12 papers, 306 citations indexed

About

Prabhat Ranjan Singh is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prabhat Ranjan Singh has authored 12 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prabhat Ranjan Singh's work include Metaheuristic Optimization Algorithms Research (3 papers), IoT and Edge/Fog Computing (2 papers) and Aesthetic Perception and Analysis (2 papers). Prabhat Ranjan Singh is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), IoT and Edge/Fog Computing (2 papers) and Aesthetic Perception and Analysis (2 papers). Prabhat Ranjan Singh collaborates with scholars based in China, India and Egypt. Prabhat Ranjan Singh's co-authors include Rahul Yadav, Mohamed Abd Elaziz, Shengwu Xiong, Weizhe Zhang, Omprakash Kaiwartya, Ibrahim A. Elgendy, Yu‐Chu Tian, Vivek Kumar Singh, Tanesh Kumar and Teerath Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Prabhat Ranjan Singh

12 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabhat Ranjan Singh China 8 138 117 92 64 42 12 306
Mehdi Golsorkhtabaramiri Iran 11 175 1.3× 90 0.8× 37 0.4× 131 2.0× 22 0.5× 39 304
K. Selvakumar India 10 219 1.6× 98 0.8× 87 0.9× 48 0.8× 13 0.3× 28 355
Dawei Li China 12 144 1.0× 267 2.3× 157 1.7× 71 1.1× 11 0.3× 61 432
Suresh Kumar India 11 209 1.5× 95 0.8× 121 1.3× 109 1.7× 15 0.4× 71 379
Hossein Deldari Iran 10 205 1.5× 145 1.2× 56 0.6× 42 0.7× 17 0.4× 44 304
Sami J. Habib Kuwait 9 199 1.4× 42 0.4× 47 0.5× 109 1.7× 23 0.5× 80 286
Moez Mnif Germany 5 79 0.6× 38 0.3× 123 1.3× 29 0.5× 16 0.4× 5 226
Muhammad Adnan Pakistan 11 229 1.7× 81 0.7× 52 0.6× 113 1.8× 18 0.4× 29 334
Mojtaba Bisheh-Niasar United States 7 78 0.6× 224 1.9× 224 2.4× 114 1.8× 22 0.5× 9 453

Countries citing papers authored by Prabhat Ranjan Singh

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat Ranjan Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabhat Ranjan Singh. 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 Prabhat Ranjan Singh. The network helps show where Prabhat Ranjan Singh may publish in the future.

Co-authorship network of co-authors of Prabhat Ranjan Singh

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

All Works

12 of 12 papers shown
2.
Singh, Prabhat Ranjan, et al.. (2023). Exploring the Potential of Artificial Intelligence and Computing Technologies in Art Museums. SHILAP Revista de lepidopterología. 53. 1004–1004. 9 indexed citations
3.
Singh, Prabhat Ranjan, et al.. (2023). 6G networks for artificial intelligence-enabled smart cities applications: A scoping review. SHILAP Revista de lepidopterología. 9. 100044–100044. 39 indexed citations
4.
Singh, Prabhat Ranjan, et al.. (2023). The Role of Artificial Intelligence in Art: A Comprehensive Review of a Generative Adversarial Network Portrait Painting. Lecture notes in networks and systems. 126–135. 3 indexed citations
5.
Singh, Prabhat Ranjan, et al.. (2019). Improved Spider Monkey Optimization Algorithm to train MLP for data classification. 3C Tecnología_Glosas de innovación aplicadas a la pyme. 142–165. 3 indexed citations
6.
Xiong, Shengwu, et al.. (2019). Synthetic minority oversampling technique in stages for unbalanced climate and rice dataset. 69–74. 3 indexed citations
7.
Singh, Prabhat Ranjan, Mohamed Abd Elaziz, & Shengwu Xiong. (2019). Ludo game-based metaheuristics for global and engineering optimization. Applied Soft Computing. 84. 105723–105723. 34 indexed citations
8.
Singh, Prabhat Ranjan, Mohamed Abd Elaziz, & Shengwu Xiong. (2018). Modified Spider Monkey Optimization based on Nelder–Mead method for global optimization. Expert Systems with Applications. 110. 264–289. 43 indexed citations
9.
Yadav, Rahul, Weizhe Zhang, Omprakash Kaiwartya, et al.. (2018). Adaptive Energy-Aware Algorithms for Minimizing Energy Consumption and SLA Violation in Cloud Computing. IEEE Access. 6. 55923–55936. 130 indexed citations
10.
Singh, Prabhat Ranjan, Bishwajeet Pandey, Tanesh Kumar, & Teerath Das. (2014). I/O standard based power optimized processor register design on ultra scale FPGA. 172–177. 11 indexed citations
11.
Singh, Prabhat Ranjan, Bishwajeet Pandey, Tanesh Kumar, Teerath Das, & Om Jee Pandey. (2014). Output load capacitance based low power implementation of UART on FPGA. 1–4. 8 indexed citations
12.
Singh, Prabhat Ranjan, Bishwajeet Pandey, Tanesh Kumar, & Teerath Das. (2013). LVCMOS I/O standard based million MHz high performance energy efficient design on FPGA. 1–4. 4 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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