Shelly Sachdeva
Impact in
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 8
- Electronic Health Records Systems 7
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- Data Quality and Management 19
- Co-authors
- Subhash BhallaLokesh JainRahul KataryaPuneet GoswamiParmeet KaurSwati TyagiDevpriya SoniUsha Batra
- Journals
- Health Policy and Technology (3 papers)Applied Soft Computing (2 papers)Knowledge-Based Systems (1 paper)Indian Journal of Science and Technology (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Shelly Sachdeva
54 papers receiving 497 citations
Peers
Comparison fields: 5 of 111
- Health Information Management 83
- Medical Terminology 2
- Artificial Intelligence 216
- Management Science and Operations Research 69
- Information Systems 120
Countries citing papers authored by Shelly Sachdeva
This map shows the geographic impact of Shelly Sachdeva'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 Shelly Sachdeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shelly Sachdeva more than expected).
Fields of papers citing papers by Shelly Sachdeva
This network shows the impact of papers produced by Shelly Sachdeva. 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 Shelly Sachdeva. The network helps show where Shelly Sachdeva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shelly Sachdeva, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 70 | |
| 13 | Hybrid Application Development and Implementation | 2019 | 1 |
| 14 | 2019 | 2 | |
| 15 | 2019 | 31 | |
| 16 | 2017 | 6 | |
| 17 | 2012 | 1 | |
| 18 | 2012 | 4 | |
| 19 | 2010 | 8 | |
| 20 | Tutorial: Implementing High-Level Query Language Interfaces for Archetype-Based Electronic Health Records Database. | 2009 | 5 |
About Shelly Sachdeva
Shelly Sachdeva is a scholar working on Health Information Management, Management Science and Operations Research, Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 64 papers that have together received 532 indexed citations. Recurring topics across this work include Data Quality and Management (19 papers), Advanced Database Systems and Queries (11 papers), Artificial Intelligence in Healthcare (8 papers), Semantic Web and Ontologies (8 papers), Electronic Health Records Systems (7 papers), Privacy-Preserving Technologies in Data (7 papers), Data Mining Algorithms and Applications (6 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Health Information Management (83 citations), Medical Terminology (2 citations), Artificial Intelligence (216 citations), Management Science and Operations Research (69 citations) and Information Systems (120 citations). Shelly Sachdeva has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Subhash Bhalla, Lokesh Jain, Rahul Katarya, Puneet Goswami, Parmeet Kaur, Swati Tyagi, Devpriya Soni, Usha Batra, S. Mukherjee and Sonu Gupta. Their work appears in journals such as Health Policy and Technology, Applied Soft Computing, Knowledge-Based Systems, Indian Journal of Science and Technology and IEEE Access.
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.