N. Anusha

420 citations
24 papers · 232 · h-index 7

Impact in

Papers in

N. Anusha

19 papers receiving 227 citations

Peers

N. Anusha
Comparison fields: 5 of 68
  • Global and Planetary Change 108
  • Water Science and Technology 42
  • Environmental Engineering 38
  • Atmospheric Science 45
  • Media Technology 10
Replace Amir Seyed Danesh with:
Amir Seyed Danesh Malaysia
Umair Iqbal Australia
Zuxiang Situ China
Ali Esmaeily Iran
Bei Chen China
Wilfredo Alfonso-Morales Colombia
Hyunhee Park South Korea
Andy Berres United States
Nicolas Verstaevel France
Lachlan Tychsen-Smith Australia
N. Anusha relative to Amir Seyed Danesh Malaysia Amir Seyed Danesh's profile →
Citations per field
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Citations per year

Countries citing papers authored by N. Anusha

Since Specialization
Citations

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

Fields of papers citing papers by N. Anusha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside N. Anusha, 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 N. Anusha Line = papers co-authored together N. Anusha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019109
2 202435
3 202429
4 201712
5 20197
6 20177
7 20166
8 20196
9 20246
10 20232
11 20232
12
Autonomous Flood Alerting System
20202
13 20242
14 20212
15 20151
16 20241
17 20171
18 20241
19 20191
20 20240

About N. Anusha

N. Anusha is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology, Atmospheric Science and Electrical and Electronic Engineering, having authored 24 papers that have together received 232 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (3 papers), Image Retrieval and Classification Techniques (3 papers), Network Security and Intrusion Detection (3 papers), IoT-based Smart Home Systems (2 papers), Vehicle License Plate Recognition (2 papers), Flood Risk Assessment and Management (2 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Global and Planetary Change (108 citations), Water Science and Technology (42 citations), Environmental Engineering (38 citations), Atmospheric Science (45 citations) and Media Technology (10 citations). N. Anusha has collaborated with scholars based in India and United States. Frequent co-authors include B. Bharathi, C. Srinivasan, M. Vadivel, C. Srinivasan, Anand Kumar, K. Vasanth, A. Ahilan, B. Meenakshi, Sandip Patil and R. Rajalakshmi. Their work appears in journals such as The Egyptian Journal of Remote Sensing and Space Science, IEEE Sensors Journal, Indian Journal of Science and Technology, Journal of Computational and Theoretical Nanoscience and 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA).

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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