Anu Bala

451 citations
44 papers · 337 · h-index 9

Impact in

Papers in

Anu Bala

41 papers receiving 309 citations

Peers

Anu Bala
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 137
  • Media Technology 54
  • Neurology 36
  • Modeling and Simulation 9
  • Computer Networks and Communications 47
Replace Hongmei Liu with:
Hongmei Liu China
Amit Doegar India
Saied M. Abd El‐atty Egypt
Mei Chen United States
Mousomi Roy India
Yeongjae Choi South Korea
Joseph Hassoun United States
Yixiong Yang China
Anu Bala relative to Hongmei Liu China Hongmei Liu's profile →
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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 201561
2 200945
3 201638
4 201826
5 201824
6 201821
7 202017
8 201714
9 201910
10 20237
11 20205
12 20185
13 20165
14 20165
15 20184
16 20174
17 20234
18 20164
19 20104
20 20233

About Anu Bala

Anu Bala is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Cellular and Molecular Neuroscience, Hardware and Architecture and Electrical and Electronic Engineering, having authored 44 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Neuroscience and Neural Engineering (8 papers), Medical Image Segmentation Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Remote-Sensing Image Classification (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Image Retrieval and Classification 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 (137 citations), Media Technology (54 citations), Neurology (36 citations), Modeling and Simulation (9 citations) and Computer Networks and Communications (47 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 M. Jabir, Xiaohan Yang, Palani Natarajan, K.K. Bhasin, Surinder Kumar Mehta, Sanjeev Kumar and Eugenio Martinelli. Their work appears in journals such as Applied Soft Computing, Expert Systems with Applications, Journal of Imaging Informatics in Medicine, Biomedical Signal Processing and Control 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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