Jeevith Hegde

14 papers receiving 361 citations

Jeevith Hegde's Hit Papers

Applications of machine learning methods for engineering risk assessment – A review 2019 · 246 citations
2460+2+4Years since publication50100150200

Peers

Jeevith Hegde
Comparison fields: 5 of 85
  • Statistics, Probability and Uncertainty 123
  • Radiological and Ultrasound Technology 85
  • Medical Laboratory Technology 14
  • Safety, Risk, Reliability and Quality 49
  • Software 20
Replace Yonas Zewdu Ayele with:
Yonas Zewdu Ayele Norway
Dezhi Yin China
Børge Rokseth Norway
Mashrura Musharraf Canada
Fedja Netjasov Serbia
Ahmad BahooToroody Finland
Mohammed Taleb‐Berrouane Canada
Jianfeng Zhou China
Marília Ramos United States
A. H. S. Garmabaki Sweden
Jeevith Hegde relative to Yonas Zewdu Ayele Norway Yonas Zewdu Ayele's profile →
Citations per field
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Yonas Zewdu Ayele · 1×
Citations per year

Countries citing papers authored by Jeevith Hegde

Since Specialization
Citations

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

Fields of papers citing papers by Jeevith Hegde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Jeevith Hegde, 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 Jeevith Hegde Line = papers co-authored together Jeevith Hegde links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Applications of machine learning methods for engineering risk assessment – A review
Hit paper breakdown →
2019246
2 201829
3 202017
4 201617
5 202016
6 201511
7 20169
8 20208
9 20198
10 20123
11 20103
12 20122
13
SEAVENTION - Autonomous underwater intervention
20181
14 20191
15 20100

About Jeevith Hegde

Jeevith Hegde is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology, Ocean Engineering, Computer Vision and Pattern Recognition and Sensory Systems, having authored 15 papers that have together received 371 indexed citations. Recurring topics across this work include Risk and Safety Analysis (7 papers), Occupational Health and Safety Research (6 papers), Maritime Navigation and Safety (4 papers), Underwater Vehicles and Communication Systems (3 papers), Visual Attention and Saliency Detection (2 papers), Olfactory and Sensory Function Studies (2 papers), Neurobiology and Insect Physiology Research (1 paper) and Structural Integrity and Reliability Analysis (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (123 citations), Radiological and Ultrasound Technology (85 citations), Medical Laboratory Technology (14 citations), Safety, Risk, Reliability and Quality (49 citations) and Software (20 citations). Jeevith Hegde has collaborated with scholars based in Norway, United States and Canada. Frequent co-authors include Børge Rokseth, Ingrid Bouwer Utne, Ingrid Schjølberg, Ali Mosleh, Christoph Thieme, Mauro Candeloro, Anastasios M. Lekkas, Asgeir J. Sørensen, Xiaoyi Chen and David C. Van Essen. Their work appears in journals such as Journal of Vision, Reliability Engineering & System Safety, Journal of Loss Prevention in the Process Industries, Aquacultural Engineering and Safety Science.

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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