Shelly Sachdeva

1.1k citations
97 papers · 751 · h-index 14

Impact in

Papers in

Shelly Sachdeva

83 papers receiving 695 citations

Peers

Shelly Sachdeva
Comparison fields: 5 of 122
  • Health Information Management 123
  • Management Science and Operations Research 121
  • Artificial Intelligence 313
  • Medical Terminology 2
  • Information Systems 198
Replace Senjuti Basu Roy with:
Senjuti Basu Roy United States
Gianluca Correndo United Kingdom
Hoda Mashayekhi Iran
Adam G.M. Pazdor Canada
Bing Tian Dai Singapore
Taowei David Wang United States
Tanvir Ahmad India
Vandana P. Janeja United States
Krist Wongsuphasawat United States
Pritheega Magalingam Malaysia
Shelly Sachdeva relative to Senjuti Basu Roy United States Senjuti Basu Roy's profile →
Citations per field
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Senjuti Basu Roy · 1×
Citations per year

Countries citing papers authored by Shelly Sachdeva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Shelly Sachdeva Line = papers co-authored together Shelly Sachdeva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 201269
3 201745
4 202038
5 201938
6 196633
7 201625
8 202323
9 202321
10 202021
11 201921
12 202017
13 201716
14 201013
15 202211
16 201511
17 201411
18 201911
19 202110
20 20139

About Shelly Sachdeva

Shelly Sachdeva is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Health Information Management, having authored 97 papers that have together received 751 indexed citations. Recurring topics across this work include Data Quality and Management (31 papers), Semantic Web and Ontologies (16 papers), Advanced Database Systems and Queries (15 papers), Electronic Health Records Systems (13 papers), Artificial Intelligence in Healthcare (12 papers), Privacy-Preserving Technologies in Data (12 papers), IoT and Edge/Fog Computing (9 papers) and Data Mining Algorithms and Applications (9 papers). The work is most often cited by research in Health Information Management (123 citations), Management Science and Operations Research (121 citations), Artificial Intelligence (313 citations), Medical Terminology (2 citations) and Information Systems (198 citations). Shelly Sachdeva has collaborated with scholars based in India, Japan and Pakistan. Frequent co-authors include Subhash Bhalla, Rahul Katarya, Lokesh Jain, Puneet Goswami, Parmeet Kaur, Swati Tyagi, Wanming Chu, Devpriya Soni, Usha Batra and S. Mukherjee. Their work appears in journals such as Health Policy and Technology, Lecture notes in computer science, Applied Soft Computing, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 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.

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