Ganesh Kumar

17 papers receiving 323 citations

Ganesh Kumar's Hit Papers

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey 2022 · 121 citations
1210+1+2Years since publication4080120

Peers

Ganesh Kumar
Comparison fields: 5 of 116
  • Health Informatics 33
  • Software 50
  • General Dentistry 11
  • Health Information Management 23
  • Information Systems 90
Replace Abdullahi Abubakar Imam with:
Abdullahi Abubakar Imam Nigeria
Zahra Shakeri Hossein Abad Canada
Farrukh Nadeem Saudi Arabia
Mark D. Syer Canada
Mahtab J. Fard United States
Peter Summons Australia
Andrey Povyakalo United Kingdom
Saurabh Johri United Kingdom
Boudhir Anouar Abdelhakim Morocco
Abhishek Pandey India
Ganesh Kumar relative to Abdullahi Abubakar Imam Nigeria Abdullahi Abubakar Imam's profile →
Citations per field
00.5×11×
Abdullahi Abubakar Imam · 1×
Citations per year

Countries citing papers authored by Ganesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey
Hit paper breakdown →
2022121
2 202245
3 202140
4 202232
5 202124
6 202121
7 202118
8 202116
9 202210
10 20235
11 20212
12 20232
13 20222
14 20171
15 20241
16 20231
17 20241
18 20240

About Ganesh Kumar

Ganesh Kumar is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 342 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers), Software Engineering Techniques and Practices (3 papers), COVID-19 diagnosis using AI (2 papers), Software Testing and Debugging Techniques (2 papers), IoT and Edge/Fog Computing (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Health Informatics (33 citations), Software (50 citations), General Dentistry (11 citations), Health Information Management (23 citations) and Information Systems (90 citations). Ganesh Kumar has collaborated with scholars based in Malaysia, Nigeria and Canada. Frequent co-authors include Abdullahi Abubakar Imam, Abdullateef Oluwagbemiga Balogun, Shuib Basri, Saipunidzam Mahamad, Luiz Fernando Capretz, Muhammad Abdulkarim, Mohammed Abdullahi, Aliyu Garba, Bashir Abubakar Abdulkadir and Aliyu Nuhu Shuaibu. Their work appears in journals such as Applied Sciences, Electronics, Computational Intelligence and Neuroscience, IEEE Access and Symmetry.

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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