Subhash Bhalla

770 citations
109 papers · 504 · h-index 10

Impact in

Papers in

Subhash Bhalla

98 papers receiving 475 citations

Peers

Subhash Bhalla
Comparison fields: 5 of 66
  • Health Information Management 137
  • Information Systems 149
  • Computer Networks and Communications 127
  • Computer Science Applications 18
  • Human-Computer Interaction 23
Replace Ramanathan Narayanan with:
Ramanathan Narayanan United States
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Andreas Heuer Germany
Patricia Griffiths Selinger United States
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Philippe Pucheral France
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Citations per field
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Ramanathan Narayanan · 1×
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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201269
2 201921
3 201020
4 202018
5 199314
6 202113
7 201012
8 202211
9 199510
10 200310
11 200510
12
Tutorial: Implementing High-Level Query Language Interfaces for Archetype-Based Electronic Health Records Database.
20099
13 20109
14 20139
15 20179
16 20179
17 20138
18 20037
19 20077
20 20107

About Subhash Bhalla

Subhash Bhalla is a scholar working on Computer Networks and Communications, Health Information Management, Information Systems, Human-Computer Interaction and Information Systems and Management, having authored 109 papers that have together received 504 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (27 papers), Electronic Health Records Systems (22 papers), Distributed systems and fault tolerance (21 papers), Information Retrieval and Search Behavior (14 papers), Usability and User Interface Design (9 papers), Web Applications and Data Management (8 papers), Blockchain Technology Applications and Security (7 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Health Information Management (137 citations), Information Systems (149 citations), Computer Networks and Communications (127 citations), Computer Science Applications (18 citations) and Human-Computer Interaction (23 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, Shinji Kikuchi, Masaki Hasegawa, Shikha Gupta, Nadia Bianchi‐Berthouze, Maxim Mozgovoy and Masaki Hasegawa. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering, Applied Sciences, Journal of Information Science 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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