Divya Anand

2.3k citations
72 papers · 1.3k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Divya Anand

67 papers receiving 1.2k citations

Hit Papers

Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network 2021 · 235 citations
235202120262022202450100150200

Peers

Divya Anand
Comparison fields: 5 of 146
  • Health Informatics 22
  • Computer Networks and Communications 311
  • Health Information Management 51
  • Information Systems 238
  • Artificial Intelligence 243
Replace Deepali Gupta with:
Deepali Gupta India
Aman Singh India
Suliman Mohamed Fati Saudi Arabia
Sandeep Kumar India
Mukesh Soni India
Sapna Juneja India
Anurag Shrivastava India
Saad Alanazi Saudi Arabia
Emmanuel Gbenga Dada Nigeria
Amandeep Kaur India
Divya Anand relative to Deepali Gupta India Deepali Gupta's profile →
Citations per field
00.5×1.6×
Deepali Gupta · 1×
Citations per year

Countries citing papers authored by Divya Anand

Since Specialization
Citations

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

Fields of papers citing papers by Divya Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20229
3 202229
4 202232
5 20225
6 20229
7 202240
8 202211
9 202210
10 202216
11 20228
12 202221
13 202214
14 202113
15 202114
16 202149
17 20219
18 20213
19 202045
20 202071

About Divya Anand

Divya Anand is a scholar working on Computer Networks and Communications, Information Systems, Health Information Management, Artificial Intelligence and Software, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (14 papers), Energy Efficient Wireless Sensor Networks (6 papers), COVID-19 diagnosis using AI (5 papers), Blockchain Technology Applications and Security (5 papers), Water Quality Monitoring Technologies (4 papers), Emotion and Mood Recognition (4 papers), Energy Harvesting in Wireless Networks (3 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Health Informatics (22 citations), Computer Networks and Communications (311 citations), Health Information Management (51 citations), Information Systems (238 citations) and Artificial Intelligence (243 citations). Divya Anand has collaborated with scholars based in India, Saudi Arabia and Spain. Frequent co-authors include Nitin Goyal, Hani Moaiteq Aljahdali, Aman Singh, Seifedine Kadry, Santos Gràcia Villar, Shalli Rani, Abhineet Anand, Naresh Kumar Trivedi, Vinay Gautam and Sahil Verma. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Electronics, Sensors, Sustainability and IEEE Access.

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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2026