Pranesh Krishnan

477 citations
31 papers · 343 · h-index 10

Impact in

Papers in

Pranesh Krishnan

28 papers receiving 333 citations

Peers

Pranesh Krishnan
Comparison fields: 5 of 81
  • Cognitive Neuroscience 99
  • Experimental and Cognitive Psychology 66
  • Mechanics of Materials 79
  • Civil and Structural Engineering 68
  • Biomaterials 36
Replace Yiming Fan with:
Yiming Fan China
Nak-Kyu Lee South Korea
Jac Fredo Agastinose Ronickom India
Jitao Zhong China
Syed Zohaib Hassan Naqvi Pakistan
Zhinan Li China
I Zunaidi Malaysia
Trung-Hau Nguyen South Korea
David I. Ibarra-Zárate Mexico
Dana Solav Israel
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Citations per field
00.5×7.2×
Yiming Fan · 1×
Citations per year

Countries citing papers authored by Pranesh Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Pranesh Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pranesh Krishnan, 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 Pranesh Krishnan Line = papers co-authored together Pranesh Krishnan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2
Real time stress detection system based on EEG signals
201655
3 201242
4 201542
5 200721
6 202016
7 201314
8 201613
9 202012
10 201011
11 20168
12 20147
13 20157
14 20196
15 20195
16 20194
17 20093
18 20203
19
Damage detection in steel plates using Artificial Neural Networks
20092
20 20192

About Pranesh Krishnan

Pranesh Krishnan is a scholar working on Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 31 papers that have together received 343 indexed citations. Recurring topics across this work include Mechanical Behavior of Composites (6 papers), EEG and Brain-Computer Interfaces (5 papers), Structural Health Monitoring Techniques (5 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Sleep and Work-Related Fatigue (4 papers), Metal Forming Simulation Techniques (3 papers), Infrastructure Maintenance and Monitoring (3 papers) and Structural Load-Bearing Analysis (2 papers). The work is most often cited by research in Cognitive Neuroscience (99 citations), Experimental and Cognitive Psychology (66 citations), Mechanics of Materials (79 citations), Civil and Structural Engineering (68 citations) and Biomaterials (36 citations). Pranesh Krishnan has collaborated with scholars based in Malaysia, United Kingdom and United States. Frequent co-authors include M.S. Abdul Majid, M. Afendi, A.G. Gibson, Haslan Fadli Ahmad Marzuki, Sazali Yaacob, K. P. Sinha, M.P. Paulraj, R. Rajeswari, Jayarama Reddy Venugopal and R. Sridhar. Their work appears in journals such as Materials & Design, Composite Structures, Psychological Medicine, European Psychiatry and Journal of Materials Science Materials in Medicine.

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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