Anu Bala

436 citations
44 papers · 301 · h-index 9

Impact in

Papers in

Anu Bala

37 papers receiving 271 citations

Peers

Anu Bala
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 125
  • Media Technology 52
  • Neurology 32
  • Computer Networks and Communications 38
  • Artificial Intelligence 42
Replace Amit Doegar with:
Amit Doegar India
S. Murugavalli India
Saiful Islam India
Mei Chen United States
Saied M. Abd El‐atty Egypt
Sonali Mishra India
Agus Eko Minarno Indonesia
Paresh Rawat India
H. Selvaraj United States
Anu Bala relative to Amit Doegar India Amit Doegar's profile →
Citations per field
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Amit Doegar · 1×
Citations per year

Countries citing papers authored by Anu Bala

Since Specialization
Citations

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

Fields of papers citing papers by Anu Bala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201553
2 200937
3 201633
4 201824
5 201823
6 201818
7 202016
8 201712
9 20198
10
Machine Learning Approaches for Crop Yield Prediction-Review
20206
11 20165
12 20205
13 20165
14 20174
15 20184
16 20184
17 20114
18 20164
19 20233
20 20103

About Anu Bala

Anu Bala is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology, Cellular and Molecular Neuroscience and Plant Science, having authored 44 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Neuroscience and Neural Engineering (7 papers), Medical Image Segmentation Techniques (6 papers), Remote-Sensing Image Classification (5 papers), Image and Signal Denoising Methods (5 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Image Fusion Techniques (3 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Media Technology (52 citations), Neurology (32 citations), Computer Networks and Communications (38 citations) and Artificial Intelligence (42 citations). Anu Bala has collaborated with scholars based in India, United Kingdom and Italy. Frequent co-authors include Chandan Singh, Tajinder Kaur, Chandan Singh, Abusaleh Jabir, Xiaohan Yang, S.K. Mehta, K.K. Bhasin, Palani Natarajan, Sanjeev Kumar and Marco Ottavi. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing, Tetrahedron, Soft Computing and Engineering Science and Technology an International Journal.

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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