Dev S. Kochhar

36 papers receiving 547 citations

Peers

Dev S. Kochhar
Comparison fields: 5 of 66
  • Safety, Risk, Reliability and Quality 278
  • Social Psychology 393
  • Automotive Engineering 150
  • Physical Therapy, Sports Therapy and Rehabilitation 44
  • Experimental and Cognitive Psychology 103
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Mike Blommer United States
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Myra Blanco United States
Yiqi Zhang United States
Reates Curry United States
Nadja Schömig Germany
Mishel Johns United States
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Citations per year

Countries citing papers authored by Dev S. Kochhar

Since Specialization
Citations

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

Fields of papers citing papers by Dev S. Kochhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003112
2 202080
3 200753
4 201647
5
EVALUATION OF DRIVER DISTRACTION USING AN EVENT DETECTION PARADIGM
200343
6 201931
7 198726
8 202123
9 201521
10 201620
11
Integrating Intelligent Driver Warning Systems: Effects of Multiple Alarms and Distraction on Driver Performance
200612
12 201512
13
The influence of study design on results in HMI testing for active safety
20078
14 20178
15 20168
16 20137
17 20187
18 20107
19 20135
20 20155

About Dev S. Kochhar

Dev S. Kochhar is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality, Automotive Engineering, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 40 papers that have together received 595 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (24 papers), Traffic and Road Safety (19 papers), Safety Warnings and Signage (10 papers), Autonomous Vehicle Technology and Safety (8 papers), Sleep and Work-Related Fatigue (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), Vehicle emissions and performance (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (278 citations), Social Psychology (393 citations), Automotive Engineering (150 citations), Physical Therapy, Sports Therapy and Rehabilitation (44 citations) and Experimental and Cognitive Psychology (103 citations). Dev S. Kochhar has collaborated with scholars based in United States, France and Czechia. Frequent co-authors include Louis Tijerina, Reates Curry, Mike Blommer, Walter Talamonti, Yi Lu Murphey, Radhakrishnan Swaminathan, Jeff Greenberg, B. E. Artz, Peter R. Grant and Larry Cathey. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Intelligent Vehicles, Human Factors The Journal of the Human Factors and Ergonomics Society, Applied Ergonomics and Expert Systems with Applications.

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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