Julia V. Bukowski
- Statistics, Probability and Uncertainty top 1%
- Safety, Risk, Reliability and Quality top 2%
- Software top 5%
- Mechanical Engineering
- Radiological and Ultrasound Technology top 10%
- Co-authors
- William M. GobleRobert E. GrossL. GładysiewiczAarnout BrombacherRobert KrólGreg HagerMathias UnberathAria Pezeshk
- Topics
- Risk and Safety Analysis (24 papers)Reliability and Maintenance Optimization (20 papers)Software Reliability and Analysis Research (17 papers)
- Partner nations
- United StatesPolandNetherlands
In The Last Decade
Julia V. Bukowski
39 papers receiving 280 citations
Peers
Comparison fields: 5 of 45
- Statistics, Probability and Uncertainty 203
- Safety, Risk, Reliability and Quality 199
- Software 120
- Mechanical Engineering 44
- Radiological and Ultrasound Technology 35
Countries citing papers authored by Julia V. Bukowski
This map shows the geographic impact of Julia V. Bukowski'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 Julia V. Bukowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia V. Bukowski more than expected).
Fields of papers citing papers by Julia V. Bukowski
This network shows the impact of papers produced by Julia V. Bukowski. 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 Julia V. Bukowski. The network helps show where Julia V. Bukowski may publish in the future.
Co-authorship network of co-authors of Julia V. Bukowski
This figure shows the co-authorship network connecting the top 25 collaborators of Julia V. Bukowski. A scholar is included among the top collaborators of Julia V. Bukowski 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 Julia V. Bukowski. Julia V. Bukowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Eksperymentalne badania oporów ruchu przenośnika taśmowego | 3 |
| 10 | Eksploatacyjne badania obciążeń krążników nośnych | 3 |
| 11 | Pomiary oporów ruchu przenośnika taśmowego z identyfikacją różnych typów taśm | 0 |
| 12 | 8 | |
| 13 | Metoda badań oporów obracania krążników pod obciążeniem | 9 |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 28 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | 25 | |
| 20 | 2 |
About Julia V. Bukowski
Julia V. Bukowski is a scholar working on Software, Statistics, Probability and Uncertainty and Medical Laboratory Technology, having authored 44 papers that have together received 306 indexed citations. Recurring topics across this work include Risk and Safety Analysis (24 papers), Reliability and Maintenance Optimization (20 papers) and Software Reliability and Analysis Research (17 papers). The work is most often cited by research in Software (120 citations), Statistics, Probability and Uncertainty (203 citations) and Safety, Risk, Reliability and Quality (199 citations). Julia V. Bukowski has collaborated with scholars based in United States, Poland and Netherlands. Frequent co-authors include William M. Goble, Robert E. Gross, L. Gładysiewicz, Aarnout Brombacher, Robert Król, Greg Hager, Mathias Unberath, Aria Pezeshk and David Johnson. Their work appears in journals such as IEEE Transactions on Reliability, ISA Transactions and Computers & Electrical 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.