Subhash Bhalla

799 citations
113 papers · 531 · h-index 11

Impact in

Papers in

Subhash Bhalla

101 papers receiving 499 citations

Peers

Subhash Bhalla
Comparison fields: 5 of 82
  • Health Information Management 81
  • Computer Networks and Communications 212
  • Information Systems 171
  • Management Science and Operations Research 88
  • Information Systems and Management 40
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Citations per field
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Citations per year

Countries citing papers authored by Subhash Bhalla

Since Specialization
Citations

This map shows the geographic impact of Subhash Bhalla'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 Subhash Bhalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash Bhalla more than expected).

Fields of papers citing papers by Subhash Bhalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhash Bhalla. 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 Subhash Bhalla. The network helps show where Subhash Bhalla may publish in the future.

Co-authors

The 25 scholars most cited alongside Subhash Bhalla, 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 Subhash Bhalla Line = papers co-authored together Subhash Bhalla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201269
2 201826
3 201020
4 201920
5 202017
6 199314
7 201013
8 202112
9 202211
10 200311
11 200510
12 199510
13 20139
14 20109
15
Tutorial: Implementing High-Level Query Language Interfaces for Archetype-Based Electronic Health Records Database.
20099
16 20179
17 20178
18 20078
19 20138
20 20127

About Subhash Bhalla

Subhash Bhalla is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Management Science and Operations Research and Information Systems and Management, having authored 113 papers that have together received 531 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (32 papers), Distributed systems and fault tolerance (27 papers), Semantic Web and Ontologies (17 papers), Data Quality and Management (16 papers), Service-Oriented Architecture and Web Services (12 papers), Data Management and Algorithms (12 papers), Scientific Computing and Data Management (12 papers) and Advanced Data Storage Technologies (12 papers). The work is most often cited by research in Health Information Management (81 citations), Computer Networks and Communications (212 citations), Information Systems (171 citations), Management Science and Operations Research (88 citations) and Information Systems and Management (40 citations). Subhash Bhalla has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Shelly Sachdeva, P. Krishna Reddy, Yutaka Watanobe, Wanming Chu, Masaki Hasegawa, Shinji Kikuchi, Stuart Madnick, Vikrant Bhateja, Suresh Chandra Satapathy and Maxim Mozgovoy. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering, Applied Sciences, ACM SIGMOD Record and Proceedings of the VLDB Endowment.

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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