Sheeba Samuel
Impact in
-
- Scientific Computing and Data Management
- Information Systems top 10%
- Research Data Management Practices
- Software Engineering Research
Papers in
-
- Scientific Computing and Data Management 20
-
- Semantic Web and Ontologies 7
- Topic Modeling 3
- Explainable Artificial Intelligence (XAI) 2
- Advanced Text Analysis Techniques 1
- Co-authors
- Birgitta König‐Ries (24 shared papers)Daniel Mietchen (2 shared papers)Frank Löffler (2 shared papers)Alsayed Algergawy (3 shared papers)Jitendra Gaikwad (2 shared papers)Anahita J.N. Kazem (1 shared paper)H. Martin Bücker (2 shared papers)Jihen Amara (2 shared papers)
In The Last Decade
Sheeba Samuel
25 papers receiving 189 citations
Peers
Comparison fields: 5 of 45
- Information Systems and Management 90
- Information Systems 67
- Artificial Intelligence 45
- General Social Sciences 4
- Software 4
Countries citing papers authored by Sheeba Samuel
This map shows the geographic impact of Sheeba Samuel'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 Sheeba Samuel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheeba Samuel more than expected).
Fields of papers citing papers by Sheeba Samuel
This network shows the impact of papers produced by Sheeba Samuel. 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 Sheeba Samuel. The network helps show where Sheeba Samuel may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheeba Samuel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2024 | 25 | |
| 3 | 2021 | 23 | |
| 4 | ProvBook: Provenance-based Semantic Enrichment of Interactive Notebooks for Reproducibility. | 2018 | 15 |
| 5 | 2022 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2017 | 8 | |
| 8 | 2021 | 8 | |
| 9 | 2017 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2020 | 2 | |
| 18 | A Data-driven Approach for Core Biodiversity Ontology Development. | 2021 | 2 |
| 19 | 2021 | 2 | |
| 20 | 2023 | 2 |
About Sheeba Samuel
Sheeba Samuel is a scholar working on Information Systems and Management, Artificial Intelligence, Information Systems, Molecular Biology and Nuclear Energy and Engineering, having authored 30 papers that have together received 195 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (20 papers), Research Data Management Practices (7 papers), Semantic Web and Ontologies (7 papers), Topic Modeling (3 papers), Biomedical Text Mining and Ontologies (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Advanced Text Analysis Techniques (1 paper) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Information Systems and Management (90 citations), Information Systems (67 citations), Artificial Intelligence (45 citations), General Social Sciences (4 citations) and Software (4 citations). Sheeba Samuel has collaborated with scholars based in Germany, Sweden and Brazil. Frequent co-authors include Birgitta König‐Ries, Daniel Mietchen, Frank Löffler, Alsayed Algergawy, Jitendra Gaikwad, Anahita J.N. Kazem, H. Martin Bücker, Jihen Amara, Maria Sorokina and Christoph Steinbeck. Their work appears in journals such as ZooKeys, PeerJ Computer Science, GigaScience, Journal of Biomedical Semantics and Lecture notes in computer science.
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.