Julia V. Bukowski

460 citations
44 papers · 306 indexed · h-index 10

Julia V. Bukowski

39 papers receiving 280 citations

Peers

Julia V. Bukowski
Comparison fields: 5 of 45
  • Software 120
  • Statistics, Probability and Uncertainty 203
  • Safety, Risk, Reliability and Quality 199
  • Medical Laboratory Technology 21
  • Radiological and Ultrasound Technology 35
Replace William M. Goble with:
William M. Goble United States
L.M. Bartlett United Kingdom
Robert Arno United States
Leila Meshkat United States
Glenn Dill United States
Alan Wassyng Canada
M. Kaufman United States
Sebastian Junges Germany
Koichi Suyama Japan
Zahir Abdul Haddi Hassan Iraq
Julia V. Bukowski relative to William M. Goble United States William M. Goble's profile →
Citations per field
00.5×4.5×
William M. Goble · 1×
Citations per year

Countries citing papers authored by Julia V. Bukowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 9 scholars most cited alongside Julia V. Bukowski, 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 Julia V. Bukowski Line = papers co-authored together Julia V. Bukowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20231
3 20230
4 20223
5 20210
6 20187
7 20171
8 20132
9
Eksperymentalne badania oporów ruchu przenośnika taśmowego
20113
10
Eksploatacyjne badania obciążeń krążników nośnych
20113
11
Pomiary oporów ruchu przenośnika taśmowego z identyfikacją różnych typów taśm
20110
12 20118
13
Metoda badań oporów obracania krążników pod obciążeniem
20109
14 200910
15 20082
16 200628
17 200116
18 19976
19 199525
20 19942

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), Software Reliability and Analysis Research (17 papers), Safety Systems Engineering in Autonomy (8 papers), Quality and Safety in Healthcare (5 papers), Belt Conveyor Systems Engineering (4 papers), Occupational Health and Safety Research (3 papers) and Mechanical and Thermal Properties Analysis (3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026