Nirmal Adhikari

518 total citations
10 papers, 242 citations indexed

About

Nirmal Adhikari is a scholar working on Computer Networks and Communications, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Nirmal Adhikari has authored 10 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Nirmal Adhikari's work include EEG and Brain-Computer Interfaces (2 papers), IoT and Edge/Fog Computing (1 paper) and ECG Monitoring and Analysis (1 paper). Nirmal Adhikari is often cited by papers focused on EEG and Brain-Computer Interfaces (2 papers), IoT and Edge/Fog Computing (1 paper) and ECG Monitoring and Analysis (1 paper). Nirmal Adhikari collaborates with scholars based in United Kingdom, India and United States. Nirmal Adhikari's co-authors include J. Logeshwaran, Javid Ahmad Malik, T. Kiruthiga, Nasmin Jiwani, Neda Afreen, Ketan Gupta, Abu Sarwar Zamani, Gaganpreet Kaur, R. Q. Malik and Jonathan Osei‐Owusu and has published in prestigious journals such as Journal of Food Quality, Journal of Scientometric Research and International Journal of Health Sciences.

In The Last Decade

Nirmal Adhikari

9 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nirmal Adhikari United Kingdom	7	96	85	40	32	21	10	242
P. Vidya Sagar India	7	50 0.5×	104 1.2×	60 1.5×	74 2.3×	5 0.2×	26	295
Stephen Jeswinde Nuagah Ghana	7	48 0.5×	76 0.9×	47 1.2×	81 2.5×	8 0.4×	16	284
Radha Senthilkumar India	8	69 0.7×	61 0.7×	11 0.3×	47 1.5×	20 1.0×	38	236
Krishna Bikram Shah Nepal	7	81 0.8×	67 0.8×	43 1.1×	49 1.5×	3 0.1×	19	244
A. Velmurugan India	9	31 0.3×	87 1.0×	42 1.1×	46 1.4×	5 0.2×	36	232
Renjith V. Ravi India	8	27 0.3×	33 0.4×	44 1.1×	25 0.8×	4 0.2×	44	218
U Kumaran India	9	70 0.7×	75 0.9×	28 0.7×	70 2.2×	3 0.1×	51	274
Sulaima Lebbe Abdul Haleem India	9	50 0.5×	46 0.5×	33 0.8×	63 2.0×	10 0.5×	15	250
Vishal Krishna Singh India	11	25 0.3×	138 1.6×	76 1.9×	78 2.4×	6 0.3×	50	340
Rakan A. Alsowail Saudi Arabia	9	105 1.1×	128 1.5×	28 0.7×	92 2.9×	3 0.1×	20	275

Countries citing papers authored by Nirmal Adhikari

Since Specialization

Citations

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

Fields of papers citing papers by Nirmal Adhikari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirmal Adhikari

This figure shows the co-authorship network connecting the top 25 collaborators of Nirmal Adhikari. A scholar is included among the top collaborators of Nirmal Adhikari 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 Nirmal Adhikari. Nirmal Adhikari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Kaur, Gaganpreet, et al.. (2023). Recent Advancements in Deep Learning Frameworks for Precision Fish Farming Opportunities, Challenges, and Applications. Journal of Food Quality. 2023. 1–11. 27 indexed citations

2.

Adhikari, Nirmal, et al.. (2022). Modeling of Optimal Deep Learning Enabled Object Detection and Classification on Drone Imagery. 303–309. 6 indexed citations

3.

Gupta, Ketan, et al.. (2022). Blockchain Technology In Healthcare Industry. 24–28. 3 indexed citations

4.

Jiwani, Nasmin, et al.. (2022). A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal. 1–5. 27 indexed citations

5.

Jiwani, Nasmin, et al.. (2022). A Comprehensive Analysis of Biofeedback Treatment in Migraine. 84–87.

6.

Rabbi, Fazle, et al.. (2022). Gaussian Map to Improve Firefly Algorithm Performance. 88–92. 20 indexed citations

7.

Adhikari, Nirmal, et al.. (2022). An Analysis of Social Networking for E-learning in Institutions of Higher Learning using Perceived Ease of use and Perceived Usefulness. Journal of Scientometric Research. 11(2). 246–253. 2 indexed citations

8.

Logeshwaran, J., et al.. (2022). deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing. International Journal of Health Sciences. 9364–9375. 74 indexed citations

9.

Logeshwaran, J., et al.. (2022). IoT-TPMS. International Journal of Health Sciences. 9070–9084. 58 indexed citations

10.

Adhikari, Nirmal, J. Logeshwaran, & T. Kiruthiga. (2021). The artificially intelligent switching framework for terminalaccess provides smart routing in modern computer networks. 2(1). 52–58. 25 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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