Amit Kishor

950 total citations · 1 hit paper
16 papers, 600 citations indexed

About

Amit Kishor is a scholar working on Computer Networks and Communications, Health Information Management and Information Systems. According to data from OpenAlex, Amit Kishor has authored 16 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 5 papers in Health Information Management and 3 papers in Information Systems. Recurrent topics in Amit Kishor's work include IoT and Edge/Fog Computing (10 papers), Artificial Intelligence in Healthcare (5 papers) and ECG Monitoring and Analysis (2 papers). Amit Kishor is often cited by papers focused on IoT and Edge/Fog Computing (10 papers), Artificial Intelligence in Healthcare (5 papers) and ECG Monitoring and Analysis (2 papers). Amit Kishor collaborates with scholars based in India, Brazil and Portugal. Amit Kishor's co-authors include Chinmay Chakraborty, Joel J. P. C. Rodrigues, Sanjay Kumar Yadav, Ravi Kumar Sachdeva, Ravi Agrawal and Himanshu Agarwal and has published in prestigious journals such as Multimedia Tools and Applications, Computers & Electrical Engineering and Wireless Personal Communications.

In The Last Decade

Amit Kishor

15 papers receiving 577 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System

2021 136 citations Amit Kishor, Chinmay Chakraborty Wireless Personal Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Amit Kishor India	10	252	157	151	96	79	16	600
Revathi Sundarasekar India	7	301 1.2×	190 1.2×	191 1.3×	121 1.3×	132 1.7×	8	770
Latha Parthiban India	12	151 0.6×	216 1.4×	251 1.7×	152 1.6×	97 1.2×	90	691
Majed Aborokbah Saudi Arabia	8	223 0.9×	95 0.6×	180 1.2×	53 0.6×	72 0.9×	33	478
Gokulnath Chandra Babu India	11	213 0.8×	165 1.1×	293 1.9×	179 1.9×	173 2.2×	25	827
Rajesh Natarajan India	14	126 0.5×	88 0.6×	124 0.8×	103 1.1×	48 0.6×	39	491
Saad Almutairi Saudi Arabia	15	285 1.1×	128 0.8×	220 1.5×	49 0.5×	85 1.1×	45	752
Othman Mohd Malaysia	9	438 1.7×	233 1.5×	83 0.5×	52 0.5×	145 1.8×	24	640
Prabal Verma India	12	466 1.8×	267 1.7×	154 1.0×	115 1.2×	166 2.1×	23	855
Walaa N. Ismail Saudi Arabia	13	140 0.6×	100 0.6×	148 1.0×	61 0.6×	83 1.1×	28	446
S. K. Srivatsa India	9	138 0.5×	88 0.6×	132 0.9×	110 1.1×	34 0.4×	103	518

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-authorship network of co-authors of Amit Kishor

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kishor. A scholar is included among the top collaborators of Amit Kishor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amit Kishor. Amit Kishor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Agarwal, Himanshu, et al.. (2025). Passive optical networks for next-gen culinary automation. Journal of Optical Communications.

2.

Kishor, Amit, et al.. (2025). Optimized heuristic LEACH variants for energy-efficient routing in passive optical networks. Journal of Optical Communications. 5 indexed citations

3.

Chakraborty, Chinmay & Amit Kishor. (2022). Real-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems. IEEE Transactions on Computational Social Systems. 9(6). 1613–1623. 74 indexed citations

4.

Chakraborty, Chinmay, Amit Kishor, & Joel J. P. C. Rodrigues. (2022). Novel Enhanced-Grey Wolf Optimization hybrid machine learning technique for biomedical data computation. Computers & Electrical Engineering. 99. 107778–107778. 59 indexed citations

5.

Yadav, Sanjay Kumar, et al.. (2022). Novel lightweight interactive IoT end device architecture with tight security intelligence confidentiality, integrity, authenticity and availability. International Journal of Systems Assurance Engineering and Management. 13(S1). 212–224. 2 indexed citations

6.

Kishor, Amit, et al.. (2021). Reinforcement learning for medical information processing over heterogeneous networks. Multimedia Tools and Applications. 80(16). 23983–24004. 59 indexed citations

7.

Kishor, Amit & Chinmay Chakraborty. (2021). Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System. Wireless Personal Communications. 127(2). 1615–1631. 136 indexed citations breakdown →

8.

Kishor, Amit, et al.. (2021). Intelligent healthcare data segregation using fog computing with internet of things and machine learning. International Journal of Engineering Systems Modelling and Simulation. 1(1). 1–1. 12 indexed citations

9.

Kishor, Amit, et al.. (2021). A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning.. International Journal of Interactive Multimedia and Artificial Intelligence. 6(7). 7–17. 56 indexed citations

10.

Kishor, Amit, et al.. (2021). Task Offloading in Fog Computing for Using Smart Ant Colony Optimization. Wireless Personal Communications. 127(2). 1683–1704. 113 indexed citations

11.

Kishor, Amit & Chinmay Chakraborty. (2021). Early and accurate prediction of diabetics based on FCBF feature selection and SMOTE. International Journal of Systems Assurance Engineering and Management. 15(10). 4649–4657. 38 indexed citations

12.

Kishor, Amit, et al.. (2021). Intelligent healthcare data segregation using fog computing with internet of things and machine learning. International Journal of Engineering Systems Modelling and Simulation. 12(2/3). 188–188. 25 indexed citations

13.

Kishor, Amit, et al.. (2020). A Comparative Analysis of Rainfall Prediction Using Support Vector Machine and Random Forest. Journal of Computational and Theoretical Nanoscience. 17(8). 3539–3542. 2 indexed citations

14.

Kishor, Amit, et al.. (2019). Review Paper on Data Integrity for Cloud. International Journal of Computer Sciences and Engineering. 7(5). 1408–1411. 2 indexed citations

15.

Kishor, Amit, et al.. (2018). o Measure the Anxiety of the Child with Autism using A Parent Rated Child and Adolescent Symptom Inventory (CASI) Anxiety Scale and to Evaluate Its Relationship with IQ: A Research. International Journal of Contemporary Medical Research [IJCMR]. 5(9). 1 indexed citations

16.

Kishor, Amit, et al.. (2018). LOAD BALANCING IN CLOUD COMPUTING. International Journal of Computer Sciences and Engineering. 6(10). 22–27. 16 indexed citations

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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