Kevin Majka
- Safety, Risk, Reliability and Quality top 1%
- Transportation top 2%
- Automotive Engineering top 10%
- Public Health, Environmental and Occupational Health
- Control and Systems Engineering
- Co-authors
- Grigorios FountasPanagiotis Ch. AnastasopoulosAlan BlattMd Tawfiq SarwarSarvani Sonduru PantangiSheikh Shahriar AhmedMarie FlaniganRajan Batta
- Topics
- Traffic and Road Safety (7 papers)Traffic Prediction and Management Techniques (5 papers)Traffic control and management (4 papers)
- Journals
- Journal of the Operational Research SocietyAccident Analysis & PreventionTransportation Research Part C Emerging Technologies
- Partner nations
- United StatesUnited KingdomBangladesh
In The Last Decade
Kevin Majka
13 papers receiving 369 citations
Peers
Comparison fields: 5 of 54
- Safety, Risk, Reliability and Quality 289
- Transportation 194
- Automotive Engineering 78
- Public Health, Environmental and Occupational Health 73
- Control and Systems Engineering 62
Countries citing papers authored by Kevin Majka
This map shows the geographic impact of Kevin Majka'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 Kevin Majka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Majka more than expected).
Fields of papers citing papers by Kevin Majka
This network shows the impact of papers produced by Kevin Majka. 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 Kevin Majka. The network helps show where Kevin Majka may publish in the future.
Co-authorship network of co-authors of Kevin Majka
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Majka. A scholar is included among the top collaborators of Kevin Majka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Majka. Kevin Majka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 57 | |
| 3 | Phase 2 – High Visibility Crosswalk Pedestrian Study: Concept to Countermeasure – Research to Deployment Using the SHRP2 Safety Data | 1 |
| 4 | 50 | |
| 5 | 128 | |
| 6 | Analysis of Stationary and Dynamic Factors Affecting Highway Accident Occurrence | 2 |
| 7 | 32 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 12 |
About Kevin Majka
Kevin Majka is a scholar working on Transportation, Safety, Risk, Reliability and Quality and Building and Construction, having authored 13 papers that have together received 375 indexed citations. Recurring topics across this work include Traffic and Road Safety (7 papers), Traffic Prediction and Management Techniques (5 papers) and Traffic control and management (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (289 citations), Transportation (194 citations) and Automotive Engineering (78 citations). Kevin Majka has collaborated with scholars based in United States, United Kingdom and Bangladesh. Frequent co-authors include Grigorios Fountas, Panagiotis Ch. Anastasopoulos, Alan Blatt, Md Tawfiq Sarwar, Sarvani Sonduru Pantangi, Sheikh Shahriar Ahmed, Marie Flanigan, Rajan Batta, Satish Mohan and Jean‐Claude Thill. Their work appears in journals such as Journal of the Operational Research Society, Accident Analysis & Prevention and Transportation Research Part C Emerging Technologies.
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.