Raman Maini

50 papers receiving 567 citations

Peers

Raman Maini
Comparison fields: 5 of 103
  • Media Technology 128
  • Industrial and Manufacturing Engineering 140
  • Computer Vision and Pattern Recognition 266
  • Automotive Engineering 57
  • Artificial Intelligence 148
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Citations per year

Countries citing papers authored by Raman Maini

Since Specialization
Citations

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

Fields of papers citing papers by Raman Maini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Raman Maini, 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 Raman Maini Line = papers co-authored together Raman Maini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010249
2 2018106
3
Performance Evaluation of Prewitt Edge Detector for Noisy Images
200654
4 201933
5 201721
6 201718
7 202316
8
A Comparative Analysis of Iterative and Ostu's Thresholding Techniques
201313
9 202211
10 20189
11 20229
12 20188
13 20206
14 20136
15 20146
16
Review of Various ImageSegmentation Techniques
20146
17 20196
18
PEFORMANCE EVALUATION OF VARIOUS SPECKLE NOISE REDUCTION FILTERS ON MEDICAL IMAGES
20135
19 20215
20 20194

About Raman Maini

Raman Maini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 54 papers that have together received 645 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (8 papers), Handwritten Text Recognition Techniques (5 papers), Network Security and Intrusion Detection (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Medical Image Segmentation Techniques (4 papers), Cloud Computing and Resource Management (4 papers), Artificial Intelligence in Healthcare (4 papers) and Optimization and Packing Problems (4 papers). The work is most often cited by research in Media Technology (128 citations), Industrial and Manufacturing Engineering (140 citations), Computer Vision and Pattern Recognition (266 citations), Automotive Engineering (57 citations) and Artificial Intelligence (148 citations). Raman Maini has collaborated with scholars based in India and United States. Frequent co-authors include Himanshu Aggarwal, Rajeev K. Goel, Jagdip Singh Sohal, Reet Kamal Tiwari, Ravneet Kaur, Sartajvir Singh, Mandeep Singh, Lakhwinder Kaur, Munish Kumar and Rupinder Kaur. Their work appears in journals such as Journal of Computational Science, Engineering Applications of Artificial Intelligence, Multimedia Tools and Applications, Quaternary and Knowledge-Based Systems.

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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