Subhash Bhalla

777 citations
84 papers · 360 · h-index 9

Impact in

Papers in

Subhash Bhalla

73 papers receiving 340 citations

Peers

Subhash Bhalla
Comparison fields: 5 of 76
  • Health Information Management 63
  • Computer Networks and Communications 144
  • Information Systems 118
  • Management Science and Operations Research 54
  • Hardware and Architecture 28
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Ilias Κ. Savvas Greece
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Yaoping Ruan United States
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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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201250
2 201824
3 201917
4 202016
5 201015
6 199312
7 200310
8 202110
9 202210
10 20108
11 19958
12 20147
13 20077
14 20197
15 20036
16 20176
17 20176
18 20186
19
Tutorial: Implementing High-Level Query Language Interfaces for Archetype-Based Electronic Health Records Database.
20095
20 20235

About Subhash Bhalla

Subhash Bhalla is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 84 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (25 papers), Distributed systems and fault tolerance (22 papers), Data Quality and Management (11 papers), Semantic Web and Ontologies (10 papers), Data Management and Algorithms (9 papers), Service-Oriented Architecture and Web Services (9 papers), Distributed and Parallel Computing Systems (8 papers) and Advanced Data Storage Technologies (8 papers). The work is most often cited by research in Health Information Management (63 citations), Computer Networks and Communications (144 citations), Information Systems (118 citations), Management Science and Operations Research (54 citations) and Hardware and Architecture (28 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, Masaki Hasegawa, Shinji Kikuchi, Suresh Chandra Satapathy, Vikrant Bhateja, Stuart Madnick, Shikha Gupta and Wanming Chu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Applied Sciences, Information and Software Technology, Physica A Statistical Mechanics and its Applications and International Journal of Human-Computer Interaction.

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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