Vinod C Nayak

64.1k citations
52 papers · 350 indexed · h-index 11

Vinod C Nayak

42 papers receiving 334 citations

Peers

Vinod C Nayak
Comparison fields: 5 of 107
  • Signal Processing 102
  • Archeology 60
  • Developmental Biology 13
  • Family Practice 10
  • Genetics 122
Replace K. Yoganarasimha with:
K. Yoganarasimha India
G. Pradeep Kumar India
Nageshkumar Rao India
Om Prakash Jasuja India
Fernando Verdú Spain
Rachana V Prabhu India
Allan Jamieson United Kingdom
Damien Rhumorbarbe Switzerland
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Vinod C Nayak relative to K. Yoganarasimha India K. Yoganarasimha's profile →
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Citations per year

Countries citing papers authored by Vinod C Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Vinod C Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinod C Nayak. 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 Vinod C Nayak. The network helps show where Vinod C Nayak may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202414
4 202424
5 20241
6 20242
7 20242
8 20230
9 202313
10 20220
11 20213
12
Impact of attitude towards pregnancy on maternal care seeking behavior: Evidence from rural landscapes of India
20181
13
Fatal poisoning with colchicum autumnale: A case report
20161
14
An astonishing case of vanishing lung syndrome
20161
15
Victimo-epidemiological profile of violent asphyxial deaths in Manipal, Karnataka
20151
16
Paraquat poisoning – a case report
20151
17
Sex Determination Based on Nasal Index and Nasal Parameters using (Big Bore 16 Slice) Multidetector Computed Tomography 2D Scans
20154
18
Evaluation of Anti-inflammatory Activity of Alcoholic Extract of Leaves of Leucas Aspera in Albino Rats
20143
19
Fatal Curling's Ulcer after Burns in a Child-a Case Report
20131
20 201022

About Vinod C Nayak

Vinod C Nayak is a scholar working on Signal Processing, Emergency Medicine and Archeology, having authored 52 papers that have together received 350 indexed citations. Recurring topics across this work include Biometric Identification and Security (10 papers), Autopsy Techniques and Outcomes (7 papers), Forensic Anthropology and Bioarchaeology Studies (5 papers), Face recognition and analysis (4 papers), Cardiac Arrest and Resuscitation (4 papers), Restraint-Related Deaths (3 papers), Forensic and Genetic Research (3 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Signal Processing (102 citations), Archeology (60 citations) and Developmental Biology (13 citations). Vinod C Nayak has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Ritesh G. Menezes, Tanuj Kanchan, G. Pradeep Kumar, Prateek Rastogi, K. Yoganarasimha, Krishna Prakash, Srikanth Prabhu, B. Suresh Kumar Shetty, Stany W. Lobo and Shankar M Bakkannavar. Their work appears in journals such as Nature, PLoS ONE and IEEE Access.

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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