Samah Fodeh
- Artificial Intelligence top 5%
- Information Systems top 10%
- Social Psychology
- Molecular Biology
- Sociology and Political Science
- Co-authors
- Cynthia BrandtPang‐Ning TanMelissa SkandersonScott L. DuVallOlga V. PattersonMatthew S. FreibergJulie A. WomackJonathan Gemmell
- Topics
- Biomedical Text Mining and Ontologies (7 papers)Musculoskeletal pain and rehabilitation (6 papers)Mental Health via Writing (6 papers)
- Journals
- PLoS ONEPainBMC Bioinformatics
- Partner nations
- United StatesSwitzerlandMexico
In The Last Decade
Samah Fodeh
40 papers receiving 527 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 225
- Information Systems 75
- Social Psychology 67
- Molecular Biology 64
- Sociology and Political Science 51
Countries citing papers authored by Samah Fodeh
This map shows the geographic impact of Samah Fodeh'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 Samah Fodeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samah Fodeh more than expected).
Fields of papers citing papers by Samah Fodeh
This network shows the impact of papers produced by Samah Fodeh. 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 Samah Fodeh. The network helps show where Samah Fodeh may publish in the future.
Co-authorship network of co-authors of Samah Fodeh
This figure shows the co-authorship network connecting the top 25 collaborators of Samah Fodeh. A scholar is included among the top collaborators of Samah Fodeh 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 Samah Fodeh. Samah Fodeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 12 | |
| 7 | 27 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 26 | |
| 11 | 18 | |
| 12 | 63 | |
| 13 | Leveraging Twitter to better identify suicide risk. | 8 |
| 14 | Automatic Classification of Critical Findings in Radiology Reports. | 2 |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 27 | |
| 19 | 32 | |
| 20 | Analysis of VA Telephone Call Notes using Topic Modeling. | 1 |
About Samah Fodeh
Samah Fodeh is a scholar working on Medical Terminology, Health Information Management and Issues, ethics and legal aspects, having authored 43 papers that have together received 539 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Musculoskeletal pain and rehabilitation (6 papers) and Mental Health via Writing (6 papers). The work is most often cited by research in Health Informatics (28 citations), Health Information Management (43 citations) and Artificial Intelligence (225 citations). Samah Fodeh has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Cynthia Brandt, Pang‐Ning Tan, Melissa Skanderson, Scott L. DuVall, Olga V. Patterson, Matthew S. Freiberg, Julie A. Womack, Jonathan Gemmell, Daniela Raicu and Michael Krauthammer. Their work appears in journals such as PLoS ONE, Pain and BMC Bioinformatics.
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.