Edmon Begoli
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 7
- Topic Modeling 5
- Adversarial Robustness in Machine Learning 3
- Co-authors
- Dimitri KusnezovTanmoy BhattacharyaRishikesan KamaleswaranFranco van WykKent BottlesRobert L. DavisAkram MohammedSuzanne Tamang
- Journals
- Scientific Reports (2 papers)International Journal of Medical Informatics (1 paper)Proceedings of the VLDB Endowment (1 paper)Bioinformatics (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Edmon Begoli
37 papers receiving 625 citations
Peers
Comparison fields: 5 of 122
- Health Informatics 52
- Health Information Management 50
- Artificial Intelligence 282
- Family Practice 18
- Management Information Systems 66
Countries citing papers authored by Edmon Begoli
This map shows the geographic impact of Edmon Begoli'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 Edmon Begoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edmon Begoli more than expected).
Fields of papers citing papers by Edmon Begoli
This network shows the impact of papers produced by Edmon Begoli. 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 Edmon Begoli. The network helps show where Edmon Begoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Edmon Begoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 14 | |
| 12 | 2018 | 54 | |
| 13 | 2018 | 6 | |
| 14 | Towards an LSTM-based Approach for Detection of Temporally Anomalous Data in Medical Datasets. | 2017 | 2 |
| 15 | 2017 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 11 | |
| 18 | Big data platforms as a service: challenges and approach | 2012 | 14 |
| 19 | 2012 | 90 | |
| 20 | 2012 | 14 |
About Edmon Begoli
Edmon Begoli is a scholar working on Health Informatics, Artificial Intelligence, Management Information Systems, Signal Processing and Information Systems and Management, having authored 38 papers that have together received 654 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Biomedical Text Mining and Ontologies (6 papers), Cloud Computing and Resource Management (6 papers), Big Data and Business Intelligence (5 papers), Topic Modeling (5 papers), Advanced Database Systems and Queries (5 papers), Data Quality and Management (5 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Health Informatics (52 citations), Health Information Management (50 citations), Artificial Intelligence (282 citations), Family Practice (18 citations) and Management Information Systems (66 citations). Edmon Begoli has collaborated with scholars based in United States and Canada. Frequent co-authors include Dimitri Kusnezov, Tanmoy Bhattacharya, Rishikesan Kamaleswaran, Franco van Wyk, Kent Bottles, Robert L. Davis, Akram Mohammed, Suzanne Tamang, Daniel Lemire and Yang Xu. Their work appears in journals such as Scientific Reports, International Journal of Medical Informatics, Proceedings of the VLDB Endowment, Bioinformatics and Nature Machine Intelligence.
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.