Todd M. Ruff

20 papers receiving 290 citations

Peers

Todd M. Ruff
Comparison fields: 5 of 60
  • Radiological and Ultrasound Technology 152
  • Medical Laboratory Technology 32
  • Statistics, Probability and Uncertainty 67
  • Human-Computer Interaction 27
  • Safety, Risk, Reliability and Quality 35
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Countries citing papers authored by Todd M. Ruff

Since Specialization
Citations

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

Fields of papers citing papers by Todd M. Ruff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd M. Ruff. 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 Todd M. Ruff. The network helps show where Todd M. Ruff may publish in the future.

Co-authors

The 3 scholars most cited alongside Todd M. Ruff, 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 Todd M. Ruff Line = papers co-authored together Todd M. Ruff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200061
2 201061
3 200557
4 200144
5 200334
6
Recommendations for evaluating and implementing proximity warning systems onsurface mining equipment
200721
7 200410
8
Mine-shaft conveyance monitoring
200010
9 20018
10 20076
11 20084
12 20023
13
GPS-Based Proximity Warning System for Mining and Construction Equipment
20012
14
MINE EYES : PROXIMITY ALERT FOR MONSTER TRUCKS
20022
15
Recent advances in proximity warning technology for surface mining equipment
20042
16
Development and testing of a computer-assisted remote control system for the compact loader-trammer
19922
17
Miner training simulator; user's guide and scripting language documentation
20012
18 19991
19 20041
20
Devices to monitor blind spots near large haulage equipment
20011

About Todd M. Ruff

Todd M. Ruff is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty, Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 21 papers that have together received 332 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (9 papers), Risk and Safety Analysis (8 papers), Belt Conveyor Systems Engineering (3 papers), Elevator Systems and Control (3 papers), IoT and GPS-based Vehicle Safety Systems (2 papers), Electrical Fault Detection and Protection (2 papers), Transportation Safety and Impact Analysis (2 papers) and Industrial Automation and Control Systems (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (152 citations), Medical Laboratory Technology (32 citations), Statistics, Probability and Uncertainty (67 citations), Human-Computer Interaction (27 citations) and Safety, Risk, Reliability and Quality (35 citations). Todd M. Ruff has collaborated with scholars based in United States. Frequent co-authors include Patrick J. Coleman, Laura Martini and Julie R. Steele. Their work appears in journals such as Applied Occupational and Environmental Hygiene, SAE technical papers on CD-ROM/SAE technical paper series, American Journal of Industrial Medicine, IEEE Industry Applications Magazine and IEEE Transactions on Industry 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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