Sandhya Arora

557 citations
42 papers · 208 · h-index 8

Impact in

Papers in

Sandhya Arora

32 papers receiving 175 citations

Peers

Sandhya Arora
Comparison fields: 5 of 51
  • Media Technology 97
  • Computer Vision and Pattern Recognition 139
  • Human-Computer Interaction 30
  • Artificial Intelligence 47
  • Developmental and Educational Psychology 10
Replace Sanyi Zhang with:
Sanyi Zhang China
Gaurav Gupta India
Parag Chaudhuri India
Cholwich Nattee Thailand
Antonio J. Colmenarez United States
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Citations per year

Countries citing papers authored by Sandhya Arora

Since Specialization
Citations

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

Fields of papers citing papers by Sandhya Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandhya Arora, 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 Sandhya Arora Line = papers co-authored together Sandhya Arora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200846
2 200729
3 200926
4 20079
5 20108
6
Complementary Features Combined in a MLP-based System to Recognize Handwritten Devnagari Character.
20117
7 20077
8 20067
9 20177
10 20186
11 20175
12
Character Recognition with Histogram Band Analysis of Encoded String and Neural Network
20055
13 20244
14
Frequency Domain Analysis of ECG Signals using Auto-Associative Neural Networks
20064
15 20224
16 20234
17 20183
18 20163
19 20213
20 20193

About Sandhya Arora

Sandhya Arora is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Social Psychology and Information Systems, having authored 42 papers that have together received 208 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (11 papers), Vehicle License Plate Recognition (7 papers), Image Processing and 3D Reconstruction (5 papers), Natural Language Processing Techniques (3 papers), Hand Gesture Recognition Systems (3 papers), Autopsy Techniques and Outcomes (3 papers), Image Retrieval and Classification Techniques (3 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Media Technology (97 citations), Computer Vision and Pattern Recognition (139 citations), Human-Computer Interaction (30 citations), Artificial Intelligence (47 citations) and Developmental and Educational Psychology (10 citations). Sandhya Arora has collaborated with scholars based in India, Canada and Czechia. Frequent co-authors include Latesh Malik, Mita Nasipuri, Parag Deshpande, Mahantapas Kundu, Debotosh Bhattacharjee, D. Basu, Ananya Roy, Ananya Roy, C. K. Jha and Deepti Jain. Their work appears in journals such as Social Network Analysis and Mining, IEEE Access, International Journal of Business Intelligence and Data Mining, Lecture notes in computer science and Journal of Obstetrics and Gynaecology.

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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