Reshma Banu

881 citations
74 papers · 541 · h-index 13

Impact in

Papers in

Reshma Banu

62 papers receiving 459 citations

Peers

Reshma Banu
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 218
  • Media Technology 47
  • Computer Networks and Communications 105
  • Signal Processing 48
  • Industrial and Manufacturing Engineering 35
Replace Biswaranjan Acharya with:
Biswaranjan Acharya India
Ravi Tomar India
J. Samuel Manoharan India
Saraswathy Shamini Gunasekaran Malaysia
I. Jeena Jacob India
R. Joshua Samuel Raj India
Laxman Singh India
Kamred Udham Singh India
T. Jayasankar India
Zhaohui Cai China
Reshma Banu relative to Biswaranjan Acharya India Biswaranjan Acharya's profile →
Citations per field
00.5×10×20×30×44×
Biswaranjan Acharya · 1×
Citations per year

Countries citing papers authored by Reshma Banu

Since Specialization
Citations

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

Fields of papers citing papers by Reshma Banu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Reshma Banu, 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 Reshma Banu Line = papers co-authored together Reshma Banu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 201746
3 201434
4 201633
5 201731
6 201727
7 200626
8 201726
9 201724
10 201023
11 201320
12 201717
13 201716
14 201910
15 20149
16 20179
17 20118
18 20127
19 20167
20
Load-balancing Approach for AOMDV in Ad-hoc Networks
20107

About Reshma Banu

Reshma Banu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Artificial Intelligence, having authored 74 papers that have together received 541 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (11 papers), Wireless Networks and Protocols (9 papers), Network Traffic and Congestion Control (7 papers), IoT and Edge/Fog Computing (6 papers), Cardiovascular Health and Disease Prevention (6 papers), IoT and GPS-based Vehicle Safety Systems (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (218 citations), Media Technology (47 citations), Computer Networks and Communications (105 citations), Signal Processing (48 citations) and Industrial and Manufacturing Engineering (35 citations). Reshma Banu has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include B. D. Parameshachari, Rajashekarappa Rajashekarappa, K. M. S. Soyjaudah, K. Jayanthi, N. N. Srinidhi, S. Mohamed Mansoor Roomi, V. Vijayakumar, Jemal Abawajy, S. Lakshmi and P. Geetha. Their work appears in journals such as Indian Journal of Science and Technology, Sadhana, Computers & Electrical Engineering, Optik and Wireless Personal Communications.

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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