Amit Kishor

16 papers receiving 672 citations

Amit Kishor's Hit Papers

Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System 2021 · 155 citations
1550+1+3Years since publication50100150

Peers

Amit Kishor
Comparison fields: 5 of 94
  • Health Information Management 135
  • Health Informatics 22
  • Computer Networks and Communications 295
  • Information Systems 187
  • Artificial Intelligence 174
Replace Ahmed S. Salama with:
Ahmed S. Salama Egypt
Ghaida Muttashar Abdulsahib Iraq
Vipul Narayan India
Fatemeh Safara Iran
Alex Page United States
Khaled Mohamad Almustafa Saudi Arabia
S. Phani Praveen India
Xiaofan Cheng China
Mohammad Sh. Daoud United Arab Emirates
Ammar Awad Mutlag Malaysia
Amit Kishor relative to Ahmed S. Salama Egypt Ahmed S. Salama's profile →
Citations per field
00.5×3.5×
Ahmed S. Salama · 1×
Citations per year

Countries citing papers authored by Amit Kishor

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kishor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Amit Kishor, 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 Amit Kishor Line = papers co-authored together Amit Kishor links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System
Hit paper breakdown →
2021155
2 2021124
3 202286
4 202166
5 202166
6 202265
7 202141
8 202131
9 202129
10 201816
11 202114
12 20255
13 20222
14 20192
15 20202
16 20181
17 20250
18 20190

About Amit Kishor

Amit Kishor is a scholar working on Computer Networks and Communications, Health Information Management, Information Systems, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 705 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Artificial Intelligence in Healthcare (6 papers), COVID-19 diagnosis using AI (3 papers), Imbalanced Data Classification Techniques (2 papers), Smart Systems and Machine Learning (2 papers), Internet of Things and AI (2 papers), ECG Monitoring and Analysis (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Health Information Management (135 citations), Health Informatics (22 citations), Computer Networks and Communications (295 citations), Information Systems (187 citations) and Artificial Intelligence (174 citations). Amit Kishor has collaborated with scholars based in India, Portugal and Brazil. Frequent co-authors include Chinmay Chakraborty, Joel J. P. C. Rodrigues, Ravi Agrawal, Ravi Kumar Sachdeva, Sanjay Kumar Yadav, Pankaj Pratap Singh, Himanshu Agarwal and Manoj Kumar. Their work appears in journals such as Wireless Personal Communications, IEEE Transactions on Computational Social Systems, Multimedia Tools and Applications, Computers & Electrical Engineering and Journal of Optical Communications.

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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