Neeraj Mohan

553 total citations
30 papers, 348 citations indexed

About

Neeraj Mohan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Neeraj Mohan has authored 30 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Neeraj Mohan's work include Optical Network Technologies (7 papers), Digital Media Forensic Detection (7 papers) and Advanced Optical Network Technologies (6 papers). Neeraj Mohan is often cited by papers focused on Optical Network Technologies (7 papers), Digital Media Forensic Detection (7 papers) and Advanced Optical Network Technologies (6 papers). Neeraj Mohan collaborates with scholars based in India and United States. Neeraj Mohan's co-authors include Surbhi Gupta, Parvinder S. Sandhu, Mandeep Kaur, Munish Kumar, Arnab Kumar Laha, Goutam Dutta, Priyanka Kaushal, Mustafa Sameer, Padmalaya Nayak and Gurpreet S. Sandhu and has published in prestigious journals such as Artificial Intelligence Review, Archives of Computational Methods in Engineering and Soft Computing.

In The Last Decade

Neeraj Mohan

27 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neeraj Mohan India 10 113 66 61 59 51 30 348
Deepali Vora India 12 98 0.9× 46 0.7× 17 0.3× 183 3.1× 27 0.5× 56 464
Amin Shoukry Egypt 12 217 1.9× 33 0.5× 32 0.5× 154 2.6× 23 0.5× 42 425
Gurpreet Singh India 9 46 0.4× 44 0.7× 14 0.2× 54 0.9× 26 0.5× 41 256
Bing He China 10 246 2.2× 55 0.8× 72 1.2× 104 1.8× 8 0.2× 38 551
Nadir Farah Algeria 12 243 2.2× 157 2.4× 48 0.8× 206 3.5× 49 1.0× 52 486
Jeonghong Kim South Korea 13 113 1.0× 21 0.3× 21 0.3× 132 2.2× 9 0.2× 27 416
Magda B. Fayek Egypt 13 154 1.4× 54 0.8× 15 0.2× 164 2.8× 22 0.4× 54 424
Yanli Shao China 10 78 0.7× 23 0.3× 20 0.3× 76 1.3× 18 0.4× 34 297
Lixia Xue China 12 154 1.4× 68 1.0× 48 0.8× 183 3.1× 31 0.6× 57 405
Fadi N. Sibai United Arab Emirates 12 105 0.9× 116 1.8× 29 0.5× 76 1.3× 10 0.2× 114 521

Countries citing papers authored by Neeraj Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Mohan. A scholar is included among the top collaborators of Neeraj Mohan 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 Neeraj Mohan. Neeraj Mohan 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.
Singh, Kuljeet, Surbhi Gupta, Neeraj Mohan, et al.. (2025). Effective detection of Covid-19 using Xception net architecture: A technical investigation using X-ray images. Health Informatics Journal. 31(3). 1227848895–1227848895.
2.
Mohan, Neeraj, et al.. (2024). Synchrophasor Driven Voltage Stability Assessment Using Adaptive Deep Learning Based Tools on Temporal Ensembling and Data Augmentation. International Journal of Electrical and Electronics Engineering. 11(12). 26–35. 1 indexed citations
3.
Nayak, Padmalaya, et al.. (2023). Predicting students’ academic performance by mining the educational data through machine learning-based classification model. Education and Information Technologies. 28(11). 14611–14637. 12 indexed citations
4.
Kumar, Sachin, Sourabh Shastri, Kuljeet Singh, et al.. (2022). LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images. International Journal of Imaging Systems and Technology. 32(5). 1464–1480. 21 indexed citations
5.
Gupta, Surbhi, Neeraj Mohan, & Priyanka Kaushal. (2021). Passive image forensics using universal techniques: a review. Artificial Intelligence Review. 55(3). 1629–1679. 23 indexed citations
6.
Thakur, Aditi, et al.. (2021). Performance evaluation of SS-FSO communication system incorporating different line coding. Optical and Quantum Electronics. 53(6). 7 indexed citations
7.
Gupta, Surbhi, Mustafa Sameer, & Neeraj Mohan. (2021). Detection of Epileptic Seizures using Convolutional Neural Network. 786–790. 21 indexed citations
8.
Mohan, Neeraj. (2020). Multi-Bearer Coordinate Grouping-Based Code Division Multiple Access for data communication in wireless network. The Journal of Supercomputing. 76(8). 6083–6093. 1 indexed citations
9.
Mohan, Neeraj. (2020). Interference reduction using particle swarm optimisation in MIMO-WCDMA multicellular networks. International Journal of Operational Research. 38(4). 477–477. 1 indexed citations
10.
Mohan, Neeraj & Priyanka Kaushal. (2020). Dynamic routing and wavelength assignment for efficient traffic grooming. Journal of Optical Communications. 44(s1). s1831–s1837. 1 indexed citations
11.
Mohan, Neeraj & Surbhi Gupta. (2018). Traffic Grooming of Different Architectures in Optical Networks. 2. 456–460. 1 indexed citations
12.
Gupta, Surbhi & Neeraj Mohan. (2018). Color Channel Characteristics (CCC) for Efficient Digital Image Forensics. Engineering Technology & Applied Science Research. 8(1). 2555–2561. 3 indexed citations
13.
Gupta, Surbhi, Neeraj Mohan, & Parvinder S. Sandhu. (2018). Energy deviation measure: a technique for digital image forensics. International Journal of Electronic Security and Digital Forensics. 10(4). 401–401. 2 indexed citations
14.
Mohan, Neeraj, et al.. (2017). Detection and Quantification of Road Surface Damage using Digital Image Processing Techniques. International Journal of Engineering Research and. V6(6). 2 indexed citations
15.
Gupta, Surbhi & Neeraj Mohan. (2017). Image Tamper Detection using Energy Deviation Measure. 10(2). 66–75.
16.
Mohan, Neeraj, Amit Wason, & Parvinder S. Sandhu. (2016). ACO based single link failure recovery in all optical networks. Optik. 127(20). 8469–8474. 7 indexed citations
17.
Mohan, Neeraj, Amit Wason, & Parvinder S. Sandhu. (2013). Traffic Grooming Techniques in Optical Networks: A Survey.
18.
Gupta, Surbhi, Gurpreet S. Sandhu, & Neeraj Mohan. (2012). Implementing Color Image Segmentation Using Biogeography Based Optimization. 12 indexed citations
19.
Gupta, Surbhi, Vaishali Sharma, Neeraj Mohan, & Parvinder S. Sandhu. (2012). Color Reduction in RGB based on Bacteria Foraging Optimization. 1 indexed citations
20.
Kaur, Mandeep, et al.. (2011). RFID Technology Principles, Advantages,Limitations & Its Applications. International Journal of Computer and Electrical Engineering. 151–157. 102 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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