Manisha Verma

1.2k total citations · 1 hit paper
22 papers, 747 citations indexed

About

Manisha Verma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Information Systems. According to data from OpenAlex, Manisha Verma has authored 22 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Information Systems. Recurrent topics in Manisha Verma's work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers) and Face and Expression Recognition (5 papers). Manisha Verma is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers) and Face and Expression Recognition (5 papers). Manisha Verma collaborates with scholars based in India, United Kingdom and Japan. Manisha Verma's co-authors include Balasubramanian Raman, Yuta Nakashima, Hajime Nagahara, Liangzhi Li, Ryo Kawasaki, Subrahmanyam Murala, Sudhakar Kumawat, Shanmuganathan Raman, Manish Thakur and B. Chatterjee and has published in prestigious journals such as Scientific Reports, Pattern Recognition and Neurocomputing.

In The Last Decade

Manisha Verma

22 papers receiving 714 citations

Hit Papers

IterNet: Retinal Image Segmentation Utilizing Structural ... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Manisha Verma
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 570
  • Radiology, Nuclear Medicine and Imaging 218
  • Ophthalmology 123
  • Media Technology 104
  • Artificial Intelligence 76
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Thuong Le-Tien Vietnam
Beiji Zou China
Edmar Rezende Brazil
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Shishir Maheshwari India
Wei Bu China
Na Rae Baek South Korea
L. Jani Anbarasi India
Baidaa Al‐Bander United Kingdom
Qingge Ji China
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Citations per field, relative to Manisha Verma
Manisha Verma · 1×
Citations per year, relative to Manisha Verma
Manisha Verma · 1×

Countries citing papers authored by Manisha Verma

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Verma. A scholar is included among the top collaborators of Manisha Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manisha Verma. Manisha Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 6
3 6
4 1
5 42
6 16
7
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks breakdown →
218
8 3
9 118
10 77
11 3
12 27
13 1
14 3
15 67
16 89
17 7
18 2
19 19
20 1

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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