Jainy Sachdeva

856 citations
19 papers · 595 indexed · h-index 11

Impact in

Papers in

    • Medical Image Segmentation Techniques 8
    • Digital Imaging for Blood Diseases 6
    • Advanced Neural Network Applications 6
    • Image and Signal Denoising Methods 4
    • Brain Tumor Detection and Classification 12

Jainy Sachdeva

19 papers receiving 560 citations

Peers

Jainy Sachdeva
Comparison fields: 5 of 69
  • Neurology 390
  • Computer Vision and Pattern Recognition 409
  • Media Technology 87
  • Radiology, Nuclear Medicine and Imaging 126
  • Urban Studies 30
Replace Matthew C. Clark with:
Matthew C. Clark United States
Nelly Gordillo Mexico
Shuangliang Cao China
Nilesh Bhaskarrao Bahadure India
E. Montseny Spain
Vivek Singh Verma India
Mohamed Ben Slima Tunisia
Rostom Kachouri France
Sarmad Maqsood Lithuania
Jainy Sachdeva relative to Matthew C. Clark United States Matthew C. Clark's profile →
Citations per field
00.5×10×20×26.5×
Matthew C. Clark · 1×
Citations per year

Countries citing papers authored by Jainy Sachdeva

Since Specialization
Citations

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

Fields of papers citing papers by Jainy Sachdeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Jainy Sachdeva, 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 Jainy Sachdeva Line = papers co-authored together Jainy Sachdeva links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013160
2 2016103
3 201294
4 201138
5 201137
6 201836
7 201933
8 201220
9 202419
10 202313
11 201613
12 20246
13 20226
14 20225
15 20244
16 20243
17 20242
18 20242
19
Hybrid model for 2-D rigid multimodal registration of brain images
20121

About Jainy Sachdeva

Jainy Sachdeva is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 595 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (12 papers), Medical Image Segmentation Techniques (8 papers), Digital Imaging for Blood Diseases (6 papers), Advanced Neural Network Applications (6 papers), Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (4 papers), Remote-Sensing Image Classification (2 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Neurology (390 citations), Computer Vision and Pattern Recognition (409 citations), Media Technology (87 citations), Radiology, Nuclear Medicine and Imaging (126 citations) and Urban Studies (30 citations). Jainy Sachdeva has collaborated with scholars based in India. Frequent co-authors include Chirag Ahuja, Niranjan Khandelwal, Indra Gupta, Vinod Kumar, Deeksha Katoch, Puneet Mishra and Vinod Kumar. Their work appears in journals such as International Journal of Imaging Systems and Technology, Image and Vision Computing, Journal of Digital Imaging, International Journal for Numerical Methods in Biomedical Engineering and Magnetic Resonance Imaging.

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