Igor Lazic

401 citations
32 papers · 233 · h-index 9

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Orthopedic Infections and Treatments
    • Orthopaedic implants and arthroplasty
    • Total Knee Arthroplasty Outcomes
    • Knee injuries and reconstruction techniques
    • Hip disorders and treatments

Papers in

    • Orthopaedic implants and arthroplasty 24
    • Orthopedic Infections and Treatments 23
    • Total Knee Arthroplasty Outcomes 22
    • Knee injuries and reconstruction techniques 3
    • Hip disorders and treatments 3
    • Lower Extremity Biomechanics and Pathologies 2

Igor Lazic

24 papers receiving 231 citations

Peers

Igor Lazic
Comparison fields: 5 of 49
  • Health Informatics 23
  • Surgery 193
  • Orthopedics and Sports Medicine 11
  • Internal Medicine 4
  • Health Information Management 4
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Citations per field
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Citations per year

Countries citing papers authored by Igor Lazic

Since Specialization
Citations

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

Fields of papers citing papers by Igor Lazic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202244
2 202143
3 202232
4 202214
5 202312
6 202211
7 202210
8 202110
9 20209
10 20227
11 20237
12 20236
13 20196
14 20215
15 20214
16 20233
17 20192
18 20202
19 20251
20 20211

About Igor Lazic

Igor Lazic is a scholar working on Surgery, Biomedical Engineering, Pulmonary and Respiratory Medicine, Epidemiology and Neurology, having authored 32 papers that have together received 233 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (24 papers), Orthopedic Infections and Treatments (23 papers), Total Knee Arthroplasty Outcomes (22 papers), Knee injuries and reconstruction techniques (3 papers), Hip disorders and treatments (3 papers), Lower Extremity Biomechanics and Pathologies (2 papers), Vascular Procedures and Complications (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Health Informatics (23 citations), Surgery (193 citations), Orthopedics and Sports Medicine (11 citations), Internal Medicine (4 citations) and Health Information Management (4 citations). Igor Lazic has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Rüdiger von Eisenhart‐Rothe, Florian Pohlig, Christian Suren, Florian Hinterwimmer, Rainer Burgkart, Michael T. Hirschmann, Daniel Rueckert, Peter Michael Prodinger, Georg Matziolis and Florian Lenze. Their work appears in journals such as Knee Surgery Sports Traumatology Arthroscopy, Journal of Clinical Medicine, Scientific Reports, International Orthopaedics and The Journal of Arthroplasty.

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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