Julia Kulkova

17 papers receiving 297 citations

Julia Kulkova's Hit Papers

Artificial intelligence ‐ driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals 2023 · 125 citations
1250+1+2Years since publication4080120

Peers

Julia Kulkova
Comparison fields: 5 of 114
  • Business and International Management 9
  • Health Informatics 5
  • Orthodontics 16
  • Management Information Systems 31
  • Management of Technology and Innovation 23
Replace Say Yen Teoh with:
Say Yen Teoh Australia
Michael Gravier United States
Purvi Shah United States
Amanda Zimmerling Canada
Zhou Hong China
Angelina Olegovna Zekiy Russia
Yingfeng Fang China
Anil Singh United States
Muhammad Sajid Pakistan
Julia Kulkova relative to Say Yen Teoh Australia Say Yen Teoh's profile →
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Citations per year

Countries citing papers authored by Julia Kulkova

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kulkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Kulkova. 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 Kulkova. The network helps show where Julia Kulkova may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Artificial intelligence ‐ driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals
Hit paper breakdown →
2023125
2 201254
3 202324
4 202322
5 201419
6 201416
7 20239
8 20197
9 20247
10 20196
11 20154
12 20214
13 20164
14 20173
15 20133
16 20212
17 20231

About Julia Kulkova

Julia Kulkova is a scholar working on Biomedical Engineering, Surgery, Orthodontics, Oral Surgery and Epidemiology, having authored 17 papers that have together received 310 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (10 papers), Dental materials and restorations (5 papers), Dental Implant Techniques and Outcomes (4 papers), Orthopaedic implants and arthroplasty (3 papers), Orthopedic Surgery and Rehabilitation (2 papers), Bone fractures and treatments (2 papers), Knee injuries and reconstruction techniques (1 paper) and Facial Trauma and Fracture Management (1 paper). The work is most often cited by research in Business and International Management (9 citations), Health Informatics (5 citations), Orthodontics (16 citations), Management Information Systems (31 citations) and Management of Technology and Innovation (23 citations). Julia Kulkova has collaborated with scholars based in Finland, Sweden and Italy. Frequent co-authors include René Rohrbeck, Ignat Kulkov, Hannu Makkonen, Loïck Menvielle, Valtteri Kaartemo, Niko Moritz, Hannu T. Aro, Ivan Donati, Sergio Paoletti and Eleonora Marsich. Their work appears in journals such as Journal of the mechanical behavior of biomedical materials, Research in Veterinary Science, Applied Sciences, Journal of Innovation & Knowledge and Acta Biomaterialia.

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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