Rolv‐Ole Lindsetmo

1.2k citations
36 papers · 791 · h-index 14

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Oncology top 10%
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Screening and Detection

Papers in

    • Surgical Simulation and Training 5
    • Enhanced Recovery After Surgery 3
    • Colorectal Cancer Screening and Detection 9
    • Colorectal Cancer Surgical Treatments 7

Rolv‐Ole Lindsetmo

36 papers receiving 764 citations

Peers

Rolv‐Ole Lindsetmo
Comparison fields: 5 of 97
  • Health Informatics 56
  • Oncology 294
  • Health Information Management 44
  • Surgery 332
  • Complementary and Manual Therapy 15
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Citations per year

Countries citing papers authored by Rolv‐Ole Lindsetmo

Since Specialization
Citations

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

Fields of papers citing papers by Rolv‐Ole Lindsetmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rolv‐Ole Lindsetmo. 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 Rolv‐Ole Lindsetmo. The network helps show where Rolv‐Ole Lindsetmo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201790
2 200978
3 201371
4 201064
5 201457
6 201254
7 200852
8 201651
9
Data-driven Temporal Prediction of Surgical Site Infection.
201543
10 200935
11 201132
12 200820
13 201114
14 200814
15 202313
16 202011
17 200910
18 200810
19 201410
20 200910

About Rolv‐Ole Lindsetmo

Rolv‐Ole Lindsetmo is a scholar working on Surgery, Oncology, Public Health, Environmental and Occupational Health, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 791 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (9 papers), Colorectal Cancer Surgical Treatments (7 papers), Surgical Simulation and Training (5 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Pelvic floor disorders treatments (5 papers), Machine Learning in Healthcare (5 papers), Enhanced Recovery After Surgery (3 papers) and Clinical practice guidelines implementation (3 papers). The work is most often cited by research in Health Informatics (56 citations), Oncology (294 citations), Health Information Management (44 citations), Surgery (332 citations) and Complementary and Manual Therapy (15 citations). Rolv‐Ole Lindsetmo has collaborated with scholars based in Norway, United States and Spain. Frequent co-authors include Jonah J. Stulberg, Knut Magne Augestad, Conor P. Delaney, Stein Olav Skrøvseth, Cristina Soguero-Ruíz, Brad Champagne, Barthold Vonen, Arthur Revhaug, Robert Jenssen and José Luis Rojo‐Álvarez. Their work appears in journals such as The American Journal of Surgery, BMC Health Services Research, International Journal of Medical Informatics, Scientific Reports and Journal of the American College of Surgeons.

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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