Rohit Raja

1.3k citations
46 papers · 522 · h-index 9

Impact in

Papers in

Rohit Raja

41 papers receiving 498 citations

Peers

Rohit Raja
Comparison fields: 5 of 73
  • Signal Processing 110
  • Computer Networks and Communications 225
  • Computer Vision and Pattern Recognition 115
  • Artificial Intelligence 171
  • Media Technology 23
Replace Muhammad Ahsan Latif with:
Muhammad Ahsan Latif Pakistan
Mohammed Maray Saudi Arabia
Labiba Gillani Fahad Pakistan
Mohammed S. Alshehri Saudi Arabia
Ayman Yafoz Saudi Arabia
V. Arulkumar India
P. Rajesh Kanna India
Arvind Selwal India
Gaurav Raj India
S. M. Meena India
Rohit Raja relative to Muhammad Ahsan Latif Pakistan Muhammad Ahsan Latif's profile →
Citations per field
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Muhammad Ahsan Latif · 1×
Citations per year

Countries citing papers authored by Rohit Raja

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021151
2 202172
3 202138
4 202235
5 201832
6 202031
7 202127
8 202223
9 202323
10 20248
11 20207
12 20187
13
Moving Vehicle Detection and Tracking Using Modified Mean Shift Method and Kalman Filter and Research
20166
14 20226
15 20185
16 20234
17 20254
18
A Comprehensive Analysis of Human Gait for Abnormal Foot Recognition Using Neuro-Genetic approach
20113
19
Neural Network Associated with Recognition of Facial Expressions of Basic Emotions
20123
20 20243

About Rohit Raja

Rohit Raja is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Signal Processing, having authored 46 papers that have together received 522 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Face and Expression Recognition (5 papers), Online Learning and Analytics (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Face recognition and analysis (3 papers), Network Security and Intrusion Detection (3 papers), Image Retrieval and Classification Techniques (3 papers) and Color perception and design (2 papers). The work is most often cited by research in Signal Processing (110 citations), Computer Networks and Communications (225 citations), Computer Vision and Pattern Recognition (115 citations), Artificial Intelligence (171 citations) and Media Technology (23 citations). Rohit Raja has collaborated with scholars based in India, Afghanistan and Saudi Arabia. Frequent co-authors include Suraj Sharma, M. Tanveer, Sandeep Kumar, Rashid Mahmood, Prakash Chandra Sharma, Dinesh Kumar Saini, Arpit Jain, Anand Prakash Shukla, Shilpa Rani and Mohammed A. AlZain. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Expert Systems with Applications, Journal of Cloud Computing Advances Systems and Applications and Connection Science.

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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