Oladimeji Farri
About
In The Last Decade
Oladimeji Farri
37 papers receiving 554 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 319
- Molecular Biology 147
- Health Information Management 77
- Computer Vision and Pattern Recognition 66
- General Health Professions 57
Countries citing papers authored by Oladimeji Farri
This map shows the geographic impact of Oladimeji Farri'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 Oladimeji Farri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oladimeji Farri more than expected).
Fields of papers citing papers by Oladimeji Farri
This network shows the impact of papers produced by Oladimeji Farri. 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 Oladimeji Farri. The network helps show where Oladimeji Farri may publish in the future.
Co-authorship network of co-authors of Oladimeji Farri
This figure shows the co-authorship network connecting the top 25 collaborators of Oladimeji Farri. A scholar is included among the top collaborators of Oladimeji Farri 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 Oladimeji Farri. Oladimeji Farri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Clinical NER using Spanish BERT Embeddings. | 3 |
| 3 | Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task. | 26 |
| 4 | Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification. | 5 |
| 5 | Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study | 18 |
| 6 | PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks. | 9 |
| 7 | Extracting and Normalizing Adverse Drug Reactions from Drug Labels. | 2 |
| 8 | Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning | 10 |
| 9 | Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing. | 2 |
| 10 | A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. | 2 |
| 11 | Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification. | 0 |
| 12 | Neural Clinical Paraphrase Generation with Attention | 16 |
| 13 | Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph. | 4 |
| 14 | Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity. | 3 |
| 15 | Using Neural Embeddings for Diagnostic Inferencing in Clinical Question Answering. | 7 |
| 16 | 12 | |
| 17 | Evaluating Effects of Public Health Nurse Home Visitng on Health Literacy for Immigrants and Refugees Using Standardized Nursing Terminology Data. | 2 |
| 18 | 14 | |
| 19 | 10 | |
| 20 | Computer use among doctors in Africa: Survey of trainees in a Nigerian teaching hospital | 27 |
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.