Vimal Singh

1.1k total citations
34 papers, 860 citations indexed

About

Vimal Singh is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Vimal Singh has authored 34 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 21 papers in Artificial Intelligence and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Vimal Singh's work include Neural Networks Stability and Synchronization (29 papers), Neural Networks and Applications (21 papers) and Advanced Memory and Neural Computing (16 papers). Vimal Singh is often cited by papers focused on Neural Networks Stability and Synchronization (29 papers), Neural Networks and Applications (21 papers) and Advanced Memory and Neural Computing (16 papers). Vimal Singh collaborates with scholars based in Türkiye, United States and India. Vimal Singh's co-authors include Amit Prakash Singh, Anuradha Chug, David Ress, Ahmed H. Tewfik, Josef Pfeuffer, Tiejun Zhao and Jung Ho Kim and has published in prestigious journals such as Magnetic Resonance in Medicine, Physics Letters A and Electronics Letters.

In The Last Decade

Vimal Singh

33 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vimal Singh Türkiye 15 753 519 331 183 169 34 860
D.H. Ji South Korea 21 911 1.2× 131 0.3× 92 0.3× 580 3.2× 309 1.8× 38 1.2k
Rongqiang Tang China 17 693 0.9× 189 0.4× 208 0.6× 264 1.4× 212 1.3× 29 835
Yanli Huang China 24 1.2k 1.5× 358 0.7× 413 1.2× 506 2.8× 118 0.7× 80 1.2k
Anping Chen China 16 902 1.2× 537 1.0× 201 0.6× 343 1.9× 76 0.4× 22 953
S. Mohamad Australia 7 531 0.7× 282 0.5× 103 0.3× 301 1.6× 82 0.5× 13 632
Kaining Wang United States 10 419 0.6× 247 0.5× 116 0.4× 239 1.3× 189 1.1× 25 602
G. Narayanan India 14 555 0.7× 241 0.5× 171 0.5× 268 1.5× 172 1.0× 30 757
Jin Hu China 11 936 1.2× 389 0.7× 426 1.3× 454 2.5× 130 0.8× 22 1.0k
Chuan Chen China 14 750 1.0× 184 0.4× 359 1.1× 383 2.1× 157 0.9× 30 901
Abdujelil Abdurahman China 19 979 1.3× 247 0.5× 387 1.2× 540 3.0× 85 0.5× 52 1.0k

Countries citing papers authored by Vimal Singh

Since Specialization
Citations

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

Fields of papers citing papers by Vimal Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vimal Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Vimal Singh. A scholar is included among the top collaborators of Vimal 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 Vimal Singh. Vimal Singh 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.
Singh, Vimal, Anuradha Chug, & Amit Prakash Singh. (2024). Classification of Tomato Crop Diseases by utilizing Convolutional Neural Network. 1622–1627. 1 indexed citations
2.
Singh, Vimal, Anuradha Chug, & Amit Prakash Singh. (2023). Classification of Beans Leaf Diseases using Fine Tuned CNN Model. Procedia Computer Science. 218. 348–356. 43 indexed citations
3.
Kim, Jung Ho, et al.. (2019). More than BOLD: Dual‐spin populations create functional contrast. Magnetic Resonance in Medicine. 83(2). 681–694. 1 indexed citations
4.
Singh, Vimal, Josef Pfeuffer, Tiejun Zhao, & David Ress. (2017). Evaluation of spiral acquisition variants for functional imaging of human superior colliculus at 3T field strength. Magnetic Resonance in Medicine. 79(4). 1931–1940. 12 indexed citations
5.
Singh, Vimal. (2010). New LMI-based criteria for global robust stability of delayed neural networks. Applied Mathematical Modelling. 34(10). 2958–2965. 12 indexed citations
6.
Singh, Vimal. (2009). Global robust stability of interval delayed neural networks. IET Control Theory and Applications. 3(6). 741–749. 1 indexed citations
7.
Singh, Vimal. (2008). Novel global robust stability criterion for neural networks with delay. Chaos Solitons & Fractals. 41(1). 348–353. 12 indexed citations
8.
Singh, Vimal. (2008). Improved global robust stability of interval delayed neural networks via split interval: Generalizations. Applied Mathematics and Computation. 206(1). 290–297. 13 indexed citations
9.
Singh, Vimal. (2008). Improved Global Robust Stability for Interval-Delayed Hopfield Neural Networks. Neural Processing Letters. 27(3). 257–265. 14 indexed citations
10.
Singh, Vimal. (2007). A new criterion for global robust stability of interval delayed neural networks. Journal of Computational and Applied Mathematics. 221(1). 219–225. 18 indexed citations
11.
12.
Singh, Vimal. (2006). Robust stability of cellular neural networks with delay: linear matrix inequality approach. IET Control Theory and Applications. 1(1). 440–440. 2 indexed citations
13.
Singh, Vimal. (2006). On global exponential stability of delayed cellular neural networks. Chaos Solitons & Fractals. 33(1). 188–193. 8 indexed citations
14.
Singh, Vimal. (2006). Novel LMI condition for global robust stability of delayed neural networks. Chaos Solitons & Fractals. 34(2). 503–508. 22 indexed citations
15.
Singh, Vimal. (2006). On global robust stability of interval Hopfield neural networks with delay. Chaos Solitons & Fractals. 33(4). 1183–1188. 31 indexed citations
16.
Singh, Vimal. (2006). Global asymptotic stability of neural networks with delay: Comparative evaluation of two criteria. Chaos Solitons & Fractals. 31(5). 1187–1190. 4 indexed citations
17.
Singh, Vimal. (2005). Simplified LMI condition for global asymptotic stability of delayed neural networks. Chaos Solitons & Fractals. 29(2). 470–473. 44 indexed citations
18.
Singh, Vimal. (2005). Global robust stability of delayed neural networks: Estimating upper limit of norm of delayed connection weight matrix. Chaos Solitons & Fractals. 32(1). 259–263. 53 indexed citations
19.
Singh, Vimal. (2004). A Generalized LMI-Based Approach to the Global Asymptotic Stability of Delayed Cellular Neural Networks. IEEE Transactions on Neural Networks. 15(1). 223–225. 139 indexed citations
20.
Singh, Vimal. (2004). Global asymptotic stability of cellular neural networks with unequal delays: LMI approach. Electronics Letters. 40(9). 548–549. 21 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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