Bima J. Hasjim

25 papers receiving 214 citations

Peers

Bima J. Hasjim
Comparison fields: 5 of 53
  • Critical Care and Intensive Care Medicine 13
  • Urology 14
  • Health Informatics 3
  • Hepatology 16
  • Internal Medicine 4
Replace Hielke M. de Vries with:
Hielke M. de Vries Netherlands
Bartosz Mruk Poland
Stefano Cernic Italy
Kevin Sheng-Kai Taiwan
Steven H. King United States
Felix Bläsius Germany
Julie C. Bulman United States
Adeline Piérache France
V Summaria Italy
Florian Oehme Germany
Bima J. Hasjim relative to Hielke M. de Vries Netherlands Hielke M. de Vries's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bima J. Hasjim

Since Specialization
Citations

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

Fields of papers citing papers by Bima J. Hasjim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bima J. Hasjim. 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 Bima J. Hasjim. The network helps show where Bima J. Hasjim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201562
2 201826
3 201921
4 201720
5 202014
6 202412
7 201712
8 20245
9 20175
10 20185
11 20195
12 20244
13 20204
14 20254
15 20203
16 20243
17 20242
18 20252
19 20231
20 20151

About Bima J. Hasjim

Bima J. Hasjim is a scholar working on Surgery, Hepatology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Oncology, having authored 37 papers that have together received 216 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Organ Donation and Transplantation (3 papers), Ultrasound and Hyperthermia Applications (2 papers), Aortic Disease and Treatment Approaches (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (13 citations), Urology (14 citations), Health Informatics (3 citations), Hepatology (16 citations) and Internal Medicine (4 citations). Bima J. Hasjim has collaborated with scholars based in United States, Canada and Philippines. Frequent co-authors include Charles F. McTiernan, Malabika Sen, Jennifer R. Grandis, Xucai Chen, Jonathan A. Kopechek, Andrew R. Carson, Flordeliza S. Villanueva, Sebastian D. Schubl, Areg Grigorian and Cristobal Barrios. Their work appears in journals such as Annals of Vascular Surgery, American Journal of Transplantation, PLoS ONE, The American Journal of Surgery and Journal of Surgical Oncology.

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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