Jeevith Hegde

14 papers receiving 377 citations

Jeevith Hegde's Hit Papers

Applications of machine learning methods for engineering risk assessment – A review 2019 · 256 citations
2560+2+4Years since publication50100150200250

Peers

Jeevith Hegde
Comparison fields: 5 of 84
  • Radiological and Ultrasound Technology 87
  • Statistics, Probability and Uncertainty 125
  • Medical Laboratory Technology 14
  • Software 21
  • Safety, Risk, Reliability and Quality 49
Replace Yonas Zewdu Ayele with:
Yonas Zewdu Ayele Norway
Dezhi Yin China
Børge Rokseth Norway
Mashrura Musharraf Canada
Haicheng Chen China
Ahmad BahooToroody Finland
Mohammed Taleb‐Berrouane Canada
Fedja Netjasov Serbia
Jianfeng Zhou China
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 →
2019256
2 201830
3 202018
4 201617
5 202016
6 201511
7 20169
8 20209
9 20198
10 20123
11 20103
12 20122
13 20191
14
SEAVENTION - Autonomous underwater intervention
20181
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 384 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), Olfactory and Sensory Function Studies (2 papers), Visual Attention and Saliency Detection (2 papers), Robotics and Sensor-Based Localization (1 paper) and Structural Integrity and Reliability Analysis (1 paper). The work is most often cited by research in Radiological and Ultrasound Technology (87 citations), Statistics, Probability and Uncertainty (125 citations), Medical Laboratory Technology (14 citations), Software (21 citations) and Safety, Risk, Reliability and Quality (49 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, Christoph Thieme, Ali Mosleh, Anastasios M. Lekkas, Asgeir J. Sørensen, Mauro Candeloro, 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, Safety Science and Aquacultural Engineering.

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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