Narendra S. Chaudhari

1.8k citations
171 papers · 1.1k indexed · h-index 17

Narendra S. Chaudhari

149 papers receiving 1.0k citations

Peers

Narendra S. Chaudhari
Comparison fields: 5 of 113
  • Computer Networks and Communications 471
  • Artificial Intelligence 470
  • Information Systems 311
  • Signal Processing 137
  • Computer Vision and Pattern Recognition 166
Replace Arcangelo Castiglione with:
Arcangelo Castiglione Italy
Iwao Sasase Japan
Cheng Chi China
Bahman Arasteh Iran
Wensheng Zhang United States
Ben Soh Australia
Guiyi Wei China
Hongyang Yan China
Marjan Gušev North Macedonia
Lu Zhou China
Narendra S. Chaudhari relative to Arcangelo Castiglione Italy Arcangelo Castiglione's profile →
Citations per field
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Citations per year

Countries citing papers authored by Narendra S. Chaudhari

Since Specialization
Citations

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

Fields of papers citing papers by Narendra S. Chaudhari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narendra S. Chaudhari. 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 Narendra S. Chaudhari. The network helps show where Narendra S. Chaudhari may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20240
5 20234
6 20230
7 20191
8
A Review of Transmission System for Performance of CVT
20151
9
An Intelligent Network for handwritten Devnagri Digit recognition using Structural features.
20111
10
Two Approaches for Hamiltonian Circuit Problem using Satisfiability.
20110
11
An Efficient method for the Devnagri handwritten vowel recognition.
20111
12
Handling the Problem of Code Bloating to Enhance the Performance of Classifier Designed Using Genetic Programming.
20112
13 20091
14
STUDY OF TOPOLOGICAL PROPERTY OF INTERCONNECTION NETWORKS AND ITS MAPPING TO SPARSE MATRIX MODEL
20095
15 20091
16 200918
17
Feature Extraction Using Fuzzy Rule Based System.
20083
18
Statistical Analysis of Long-Range Interactions in Proteins.
20062
19 200511
20 20031

About Narendra S. Chaudhari

Narendra S. Chaudhari is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 171 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (34 papers), User Authentication and Security Systems (27 papers), Neural Networks and Applications (23 papers), Cryptography and Data Security (18 papers), Vehicular Ad Hoc Networks (VANETs) (12 papers), Cryptographic Implementations and Security (11 papers), Face and Expression Recognition (11 papers) and Handwritten Text Recognition Techniques (10 papers). The work is most often cited by research in Computer Networks and Communications (471 citations), Artificial Intelligence (470 citations) and Information Systems (311 citations). Narendra S. Chaudhari has collaborated with scholars based in India, Singapore and United Kingdom. Frequent co-authors include Neetesh Saxena, Robin Singh Bhadoria, Jinmiao Chen, Jagdish C. Patra, Aruna Tiwari, A. Das, Ashish Jain, Ajay Verma, Pratibha Singh and J. Chen.

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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