G. Narayanan

975 citations
30 papers · 757 · h-index 14

Impact in

Papers in

G. Narayanan

29 papers receiving 740 citations

Peers

G. Narayanan
Comparison fields: 5 of 62
  • Computer Networks and Communications 555
  • Modeling and Simulation 104
  • Statistical and Nonlinear Physics 268
  • Artificial Intelligence 241
  • Control and Systems Engineering 172
Replace V. Vembarasan with:
V. Vembarasan India
Yingjie Fan China
Qintao Gan China
Zhenkun Huang China
Zuowei Cai China
Farouk Chérif Tunisia
S. Mohamad Australia
Lian Duan China
Jianying Xiao China
Piyapong Niamsup Thailand
G. Narayanan relative to V. Vembarasan India V. Vembarasan's profile →
Citations per field
00.5×10×15×18.7×
V. Vembarasan · 1×
Citations per year

Countries citing papers authored by G. Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by G. Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Narayanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Narayanan Line = papers co-authored together G. Narayanan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 202091
3 201972
4 201964
5 202255
6 202152
7 201944
8 202140
9 202131
10 202230
11 202224
12 202421
13 202220
14 202218
15 202312
16 202212
17 202212
18 20239
19 20249
20 20248

About G. Narayanan

G. Narayanan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Molecular Biology and Control and Systems Engineering, having authored 30 papers that have together received 757 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (21 papers), stochastic dynamics and bifurcation (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Gene Regulatory Network Analysis (6 papers), Neural Networks and Applications (5 papers), Distributed Control Multi-Agent Systems (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Computer Networks and Communications (555 citations), Modeling and Simulation (104 citations), Statistical and Nonlinear Physics (268 citations), Artificial Intelligence (241 citations) and Control and Systems Engineering (172 citations). G. Narayanan has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include M. Syed Ali, Vineet Shekher, Sabri Arik, Sumit Saroha, Bashir Ahmad, Bandana Priya, Hamed Alsulami, Ganesh Kumar Thakur, Ahmed Alsaedi and Grienggrai Rajchakit. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, IEEE Access, Information Sciences, Neural Processing Letters and IEEE Transactions on Systems Man and Cybernetics Systems.

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.

Explore authors with similar magnitude of impact