Amit Doegar

463 total citations
24 papers, 280 citations indexed

About

Amit Doegar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Amit Doegar has authored 24 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Amit Doegar's work include Digital Media Forensic Detection (6 papers), AI in cancer detection (5 papers) and Digital Imaging for Blood Diseases (3 papers). Amit Doegar is often cited by papers focused on Digital Media Forensic Detection (6 papers), AI in cancer detection (5 papers) and Digital Imaging for Blood Diseases (3 papers). Amit Doegar collaborates with scholars based in India. Amit Doegar's co-authors include Shivani Chauhan, Maitreyee Dutta, Varun Gupta, Kumar Gaurav, Ekta Sharma, Brajesh Kumar, Ram Shringar Raw, Kumar Brajesh, Mohammad Faisal Haider and Amitava Das and has published in prestigious journals such as BioMed Research International, Journal of Applied Biomedicine and TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES.

In The Last Decade

Amit Doegar

23 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amit Doegar India	11	138	96	76	37	35	24	280
A Renuka India	10	279 2.0×	59 0.6×	33 0.4×	29 0.8×	13 0.4×	45	370
P. Kumaresan India	6	125 0.9×	111 1.2×	33 0.4×	18 0.5×	9 0.3×	24	264
Myasar Mundher Adnan Iraq	9	111 0.8×	71 0.7×	29 0.4×	11 0.3×	26 0.7×	78	258
Osama Abu-Elnasr Egypt	4	171 1.2×	91 0.9×	127 1.7×	42 1.1×	24 0.7×	7	373
Ali Mehrabi Australia	7	112 0.8×	208 2.2×	27 0.4×	21 0.6×	19 0.5×	20	294
Jinwei Xu China	9	180 1.3×	95 1.0×	23 0.3×	130 3.5×	33 0.9×	30	298
Shuhua Deng China	8	123 0.9×	96 1.0×	183 2.4×	45 1.2×	33 0.9×	16	369
Ahmad Neyaz Khan China	10	187 1.4×	131 1.4×	79 1.0×	53 1.4×	33 0.9×	19	395
Marika Kaden Germany	10	72 0.5×	137 1.4×	15 0.2×	13 0.4×	14 0.4×	36	245
Maxime Pelcat France	9	74 0.5×	19 0.2×	83 1.1×	66 1.8×	42 1.2×	48	251

Countries citing papers authored by Amit Doegar

Since Specialization

Citations

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

Fields of papers citing papers by Amit Doegar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Doegar

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

All Works

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20 of 20 papers shown

Doegar, Amit, et al.. (2023). On Real-Time Object Recognition by Single Image Dehazing Method Using Deep Learning Approach. 476–479.

Doegar, Amit, et al.. (2021). Cloud‐Based Fusion of Residual Exploitation‐Based Convolutional Neural Network Models for Image Tampering Detection in Bioinformatics. BioMed Research International. 2021(1). 3 indexed citations

Gupta, Varun, et al.. (2021). Breast cancer detection from histopathology images using modified residual neural networks. Journal of Applied Biomedicine. 41(4). 1272–1287. 39 indexed citations

Doegar, Amit, et al.. (2021). Image forgery detection based on fusion of lightweight deep learning models. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29(4). 1978–1993. 7 indexed citations

Doegar, Amit, et al.. (2019). Identifying Malaria Infection in Red Blood Cells using Optimized Step-Increase Convolutional Neural Network Model. International Journal of Innovative Technology and Exploring Engineering. 8(9S). 813–818. 5 indexed citations

Doegar, Amit, et al.. (2019). Localization and Classification of Brain Tumor using Machine Learning & Deep Learning Techniques. International Journal of Innovative Technology and Exploring Engineering. 8(9S). 59–66. 13 indexed citations

Doegar, Amit, et al.. (2019). Classification of Mammograms using Various Feature Extraction Methods and Machine Learning. International Journal of Recent Technology and Engineering (IJRTE). 9(2). 5401–5405. 1 indexed citations

Doegar, Amit, et al.. (2019). A Review on Automatic Classification of Breast Cancer Using Supervised Learning Strategies. 717–721. 2 indexed citations

Doegar, Amit, Maitreyee Dutta, & Kumar Gaurav. (2019). CNN Based Image Forgery Detection Using Pre-trained AlexNet Model. 23 indexed citations

10.

Haider, Mohammad Faisal, et al.. (2018). Fault Identification in Electrical Equipment using Thermal Image Processing. 853–858. 13 indexed citations

11.

Aggarwal, Naveen, et al.. (2018). Acoustic Scene Classification for Personal Commuting Mode: Detecting Polluting vs. Non Polluting Vehicles. 1. 274–279. 2 indexed citations

12.

Doegar, Amit, et al.. (2018). An Ensemble Approach for Intrusion Detection System Using Machine Learning Algorithms. 14–15. 36 indexed citations

13.

Chauhan, Shivani, et al.. (2017). Multiple layer text security using variable block size cryptography and image steganography. 1–7. 23 indexed citations

14.

Doegar, Amit, et al.. (2017). A review paper on digital image forgery detection techniques. 1–7. 29 indexed citations

15.

Sharma, Ekta, et al.. (2017). Tool condition monitoring using the chain code technique, pixel matching and morphological operations. 2. 1–6. 2 indexed citations

16.

Kumar, Santosh, Deepti Singh, & Amit Doegar. (2016). Web documents prioritization using genetic algorithm. International Conference on Computing for Sustainable Global Development. 3042–3047. 3 indexed citations

17.

Doegar, Amit, et al.. (2016). A Survey on Android Malware Detection. 2(12). 263382. 4 indexed citations

18.

Doegar, Amit, et al.. (2016). Internal crack detection in kidney bean seeds using X-ray imaging technique. 2258–2261. 11 indexed citations

19.

Chauhan, Shivani, et al.. (2016). Binarization techniques for degraded document images — A review. 163–166. 21 indexed citations

20.

Raw, Ram Shringar, et al.. (2011). Performance Comparison Of Topology And Position Based Routing Protocols In Vehicular Network Environments. International Journal of Wireless & Mobile Networks. 3(4). 289–303. 19 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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