Omid Hamidi

31 papers receiving 450 citations

Peers

Omid Hamidi
Comparison fields: 5 of 105
  • Health Information Management 78
  • Transplantation 25
  • Health Informatics 12
  • Modeling and Simulation 27
  • Artificial Intelligence 113
Replace Corrado Lanera with:
Corrado Lanera Italy
M.A. Mañú India
Sangwon Chae South Korea
Ashin Mukherjee United States
Abigail Green‐Saxena United States
Emanuele Gatti Germany
Cynthia Zeng United States
David Kartchner United States
Xiaoguang Zou China
Juxiang Yuan China
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Citations per field
00.5×5×10×12.5×
Corrado Lanera · 1×
Citations per year

Countries citing papers authored by Omid Hamidi

Since Specialization
Citations

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

Fields of papers citing papers by Omid Hamidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201889
2 201361
3 201451
4 201951
5
Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests.
201643
6 201733
7 201719
8 201918
9 201716
10 201816
11 20179
12
Predicting the Frequency of Human Brucellosis using Climatic Indices by Three Data Mining Techniques of Radial Basis Function, Multilayer Perceptron and Nearest Neighbor: A Comparative Study
20188
13 20207
14 20176
15 20246
16 20145
17 20224
18 20183
19
Interventions to Promote of Safety Participation Using Generalized Estimating Equations
20152
20 20202

About Omid Hamidi

Omid Hamidi is a scholar working on Statistics and Probability, Health Information Management, Environmental Engineering, Public Health, Environmental and Occupational Health and Atmospheric Science, having authored 35 papers that have together received 465 indexed citations. Recurring topics across this work include Climate variability and models (3 papers), Meteorological Phenomena and Simulations (3 papers), Statistical Methods and Inference (3 papers), Nutritional Studies and Diet (2 papers), Gene expression and cancer classification (2 papers), HIV, Drug Use, Sexual Risk (2 papers), Artificial Intelligence in Healthcare (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Health Information Management (78 citations), Transplantation (25 citations), Health Informatics (12 citations), Modeling and Simulation (27 citations) and Artificial Intelligence (113 citations). Omid Hamidi has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Leili Tapak, Jalal Poorolajal, Payam Amini, Hossein Mahjub, Manoochehr Karami, Maryam Farhadian, Mahdi Sepidarkish, Reza Omani Samani, Saman Maroufizadeh and Saeid Afshar. Their work appears in journals such as BMC Medical Research Methodology, BMJ Open, BMC Cardiovascular Disorders, Zoonoses and Public Health and BioMed Research International.

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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