Behrooz Mamandipoor

449 citations
14 papers · 244 indexed · h-index 7
Topics
Sepsis Diagnosis and Treatment (8 papers)Machine Learning in Healthcare (3 papers)Renal function and acid-base balance (3 papers)
Journals
SHILAP Revista de lepidopterologíaEnvironmental Monitoring and AssessmentBMC Infectious Diseases
Partner nations
ItalyAustriaGermany

In The Last Decade

Behrooz Mamandipoor

14 papers receiving 238 citations

Peers

Behrooz Mamandipoor
Comparison fields: 5 of 77
  • Epidemiology 78
  • Water Science and Technology 68
  • Artificial Intelligence 61
  • Industrial and Manufacturing Engineering 33
  • Surgery 31
Replace Zhengyi Zhu with:
Zhengyi Zhu China
Seyedmostafa Sheikhalishahi Italy
Xueling Fang China
Jia Ren China
Shounak Datta United States
J. Fernández de Cañete Spain
Daizheng Huang China
Lanfang Wang China
Xukun Li China
Federico Cismondi United States
Behrooz Mamandipoor relative to Zhengyi Zhu China Zhengyi Zhu's profile →
Citations per field
00.5×6.6×
Zhengyi Zhu · 1×
Citations per year

Countries citing papers authored by Behrooz Mamandipoor

Since Specialization
Citations

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

Fields of papers citing papers by Behrooz Mamandipoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrooz Mamandipoor

This figure shows the co-authorship network connecting the top 25 collaborators of Behrooz Mamandipoor. A scholar is included among the top collaborators of Behrooz Mamandipoor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Behrooz Mamandipoor. Behrooz Mamandipoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 4
2 3
3 21
4 4
5 4
6 6
7 16
8 9
9 1
10 3
11 35
12 8
13 110
14 20

About Behrooz Mamandipoor

Behrooz Mamandipoor is a scholar working on Family Practice, Nephrology and Epidemiology, having authored 14 papers that have together received 244 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (8 papers), Machine Learning in Healthcare (3 papers) and Renal function and acid-base balance (3 papers). The work is most often cited by research in Family Practice (13 citations), Water Science and Technology (68 citations) and Industrial and Manufacturing Engineering (33 citations). Behrooz Mamandipoor has collaborated with scholars based in Italy, Austria and Germany. Frequent co-authors include Venet Osmani, Claudio Modena, Seyedmostafa Sheikhalishahi, Bernhard Wernly, Christian Jung, Richard Rezar, Daniel Dankl, Sarah Wernly, Zhichao Zhou and Malte Kelm. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Monitoring and Assessment and BMC Infectious Diseases.

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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