Amit Doegar

476 citations
25 papers · 286 · h-index 11

Impact in

Papers in

Amit Doegar

23 papers receiving 269 citations

Peers

Amit Doegar
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 143
  • Computer Networks and Communications 77
  • Media Technology 29
  • Signal Processing 35
  • Artificial Intelligence 95
Replace Myasar Mundher Adnan with:
Myasar Mundher Adnan Iraq
Priyadarshi Kanungo India
Jinwei Xu China
Maxime Pelcat France
Deepak Upadhyay India
Osama Abu-Elnasr Egypt
Marika Kaden Germany
Shijie Li China
Jingcai Guo Hong Kong
Mingsheng Cao China
Amit Doegar relative to Myasar Mundher Adnan Iraq Myasar Mundher Adnan's profile →
Citations per field
00.5×11×
Myasar Mundher Adnan · 1×
Citations per year

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-authors

The 21 scholars most cited alongside Amit Doegar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Doegar Line = papers co-authored together Amit Doegar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202139
2 201837
3 201730
4
CNN Based Image Forgery Detection Using Pre-trained AlexNet Model
201924
5 201723
6 201622
7 201119
8 201814
9 201913
10 201611
11 201110
12 20218
13 20166
14 20195
15 20164
16 20184
17
A Survey on Android Malware Detection
20164
18
Web documents prioritization using genetic algorithm
20163
19 20213
20 20172

About Amit Doegar

Amit Doegar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Media Technology and Signal Processing, having authored 25 papers that have together received 286 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (6 papers), AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (3 papers), Brain Tumor Detection and Classification (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Image Processing Techniques and Applications (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Computer Networks and Communications (77 citations), Media Technology (29 citations), Signal Processing (35 citations) and Artificial Intelligence (95 citations). Amit Doegar has collaborated with scholars based in India and Finland. Frequent co-authors include Maitreyee Dutta, Shivani Chauhan, Varun Gupta, Kumar Gaurav, Ekta Sharma, Brajesh Kumar, Ram Shringar Raw, Kumar Brajesh, Mohammad Faisal Haider and Amitava Das. Their work appears in journals such as Potato Research, BioMed Research International, Journal of Applied Biomedicine, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES and International Journal of Internet Protocol Technology.

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.

Explore authors with similar magnitude of impact