Prashant Johri

1.9k total citations
129 papers, 820 citations indexed

About

Prashant Johri is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prashant Johri has authored 129 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 29 papers in Computer Networks and Communications and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prashant Johri's work include Software Reliability and Analysis Research (14 papers), IoT and Edge/Fog Computing (12 papers) and Smart Agriculture and AI (12 papers). Prashant Johri is often cited by papers focused on Software Reliability and Analysis Research (14 papers), IoT and Edge/Fog Computing (12 papers) and Smart Agriculture and AI (12 papers). Prashant Johri collaborates with scholars based in India, Egypt and Italy. Prashant Johri's co-authors include Suyel Namasudra, Ganesh Chandra Deka, Sanjoy Das, Amir H. Gandomi, Sunil Kumar Khatri, Ahmed A. Elngar, Arun Kumar, Sandeep Kumar, J. Singh and Udayan Chanda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Prashant Johri

101 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant Johri India 14 212 189 144 142 110 129 820
Subhendu Kumar Pani India 19 295 1.4× 269 1.4× 126 0.9× 209 1.5× 105 1.0× 65 1.1k
Ali Alzahrani Saudi Arabia 20 382 1.8× 223 1.2× 240 1.7× 321 2.3× 159 1.4× 68 1.2k
Areej Fatima Pakistan 17 188 0.9× 278 1.5× 150 1.0× 215 1.5× 97 0.9× 50 1.0k
Irina V. Pustokhina Russia 19 227 1.1× 367 1.9× 287 2.0× 330 2.3× 172 1.6× 63 1.3k
Hashem Alyami Saudi Arabia 18 340 1.6× 402 2.1× 118 0.8× 347 2.4× 102 0.9× 55 1.1k
Denis A. Pustokhin Russia 19 220 1.0× 362 1.9× 287 2.0× 328 2.3× 172 1.6× 55 1.2k
Muhammad Asif Habib Pakistan 14 211 1.0× 219 1.2× 159 1.1× 260 1.8× 143 1.3× 69 739
Arpit Jain India 22 247 1.2× 263 1.4× 315 2.2× 341 2.4× 174 1.6× 100 1.4k
Fayez Alqahtani Saudi Arabia 15 245 1.2× 168 0.9× 138 1.0× 256 1.8× 203 1.8× 107 833
Mubarak Almutairi Saudi Arabia 18 123 0.6× 277 1.5× 161 1.1× 145 1.0× 101 0.9× 48 990

Countries citing papers authored by Prashant Johri

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Johri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Johri

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

All Works

20 of 20 papers shown
1.
Johri, Prashant, Massimo Donelli, Seifedine Kadry, et al.. (2025). Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks. Scientific Reports. 15(1). 1437–1437. 13 indexed citations
2.
Johri, Prashant, et al.. (2025). Deep Learning-Based MRI Brain Tumor Segmentation With EfficientNet-Enhanced UNet. IEEE Access. 13. 54920–54937. 10 indexed citations
3.
Johri, Prashant, et al.. (2025). Enhancing lymphoma cancer detection using deep transfer learning on histopathological images. Scientific Reports. 15(1). 38042–38042.
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Agrawal, Alka, et al.. (2024). Transfer Learning for Automated Classification of Eye Disease in Fundus Images from Pretrained Model. Traitement du signal. 41(5). 2459–2470. 1 indexed citations
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Johri, Prashant, et al.. (2024). Deciphering Brain Tumor Diagnosis: A CNN-Based Deep Learning Approach. 1766–1771.
8.
Johri, Prashant, et al.. (2024). Brain tumor segmentation and enhancing prediction using unet deep learning model with additive skip connection. AIP conference proceedings. 3082. 100001–100001.
9.
Johri, Prashant, et al.. (2024). Enhancing Apple Leaf Disease Detection: A CNN-based Model Integrated with Image Segmentation Techniques for Precision Agriculture. International Journal of Mathematical Engineering and Management Sciences. 9(4). 943–964. 4 indexed citations
10.
divya, divya divya, et al.. (2024). Assessing the Impact of Software Patching on Vulnerabilities: A Comprehensive Framework for Faulty and Safe Patches. International Journal of Reliability Quality and Safety Engineering. 32(2).
11.
Johri, Prashant, et al.. (2023). Augmentation based detection model for brain tumor using VGG 19. International Journal of Computing and Digital Systems. 13(1). 1227–1237. 3 indexed citations
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Sharma, Yash Pal, et al.. (2023). A Review of Load Balancing Techniques in Cloud Computing. 40–45.
15.
Johri, Prashant, et al.. (2021). Stock Market Prediction Using Linear Regression and SVM. 629–631. 36 indexed citations
16.
Johri, Prashant, et al.. (2021). Augmented Reality Systems in Gaming and Multimedia. 333–338. 1 indexed citations
17.
Johri, Prashant, et al.. (2020). Feature Selection and Hyper-parameter Tuning Technique using Neural Network for Stock Market Prediction. SHILAP Revista de lepidopterología. 12. 89–108. 5 indexed citations
18.
Das, Sanjoy, et al.. (2016). Opinion based on Polarity and Clustering for Product Feature Extraction. International Journal of Information Engineering and Electronic Business. 8(5). 36–43. 4 indexed citations
19.
Johri, Prashant, et al.. (2014). Empirical Evaluation of Fuzzy Synthetic Based Framework for Multifaceted Component Classification and Selection. Research Journal of Applied Sciences Engineering and Technology. 7(9). 1832–1836. 1 indexed citations
20.
Johri, Prashant, et al.. (2014). Software Testing Resource Allocation and Release Time Problem: A Review. International Journal of Modern Education and Computer Science. 6(2). 48–55. 4 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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