P. W. C. Prasad

3.6k citations
196 papers · 2.3k indexed · h-index 23

P. W. C. Prasad

180 papers receiving 2.1k citations

Peers

P. W. C. Prasad
Comparison fields: 5 of 153
  • Computer Science Applications 173
  • Computer Vision and Pattern Recognition 590
  • Neurology 217
  • Human-Computer Interaction 142
  • Artificial Intelligence 625
Replace Abeer Alsadoon with:
Abeer Alsadoon Australia
Gustavo Ramírez-González Colombia
M. Shamim Hossain Saudi Arabia
Kwok Tai Chui Hong Kong
Mohammad Shorfuzzaman Saudi Arabia
Md. Abdur Rahman Saudi Arabia
Rahib H. Abiyev Cyprus
Md. Golam Rabiul Alam Bangladesh
Utku Köse Türkiye
Ahmed Ghoneim Saudi Arabia
P. W. C. Prasad relative to Abeer Alsadoon Australia Abeer Alsadoon's profile →
Citations per field
00.5×1.5×
Abeer Alsadoon · 1×
Citations per year

Countries citing papers authored by P. W. C. Prasad

Since Specialization
Citations

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

Fields of papers citing papers by P. W. C. Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. W. C. Prasad. 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 P. W. C. Prasad. The network helps show where P. W. C. Prasad may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 20210
3 20214
4 20212
5 20201
6 20202
7 20203
8
Point-of-interest (POI) recommender systems for social groups in location based social networks (LBSNs): Proposition of an improved model
20202
9 20201
10 2019195
11 20192
12 20198
13 20196
14 201845
15 201842
16 201897
17 20173
18
Complexity of XOR/XNOR Boolean Functions: A Model using Binary Decision Diagrams and Back Propagation Neural Networks
20071
19
Binary decision diagrams: a mathematical model for the path-related objective functions
20060
20
Effect of Boolean Min-terms on the Complexity of ROBDDs.
20041

About P. W. C. Prasad

P. W. C. Prasad is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Software, having authored 196 papers that have together received 2.3k indexed citations. Recurring topics across this work include Augmented Reality Applications (27 papers), Formal Methods in Verification (19 papers), Surgical Simulation and Training (17 papers), VLSI and Analog Circuit Testing (14 papers), AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Chaos-based Image/Signal Encryption (10 papers) and IoT and Edge/Fog Computing (9 papers). The work is most often cited by research in Computer Science Applications (173 citations), Computer Vision and Pattern Recognition (590 citations) and Neurology (217 citations). P. W. C. Prasad has collaborated with scholars based in Australia, United States and Iraq. Frequent co-authors include Abeer Alsadoon, Amr Elchouemi, Ashutosh Kumar Singh, Angelika Maag, Omar Hisham Alsadoon, Dedong Yang, Siong Hoe Lau, Azam Beg, Manoranjan Paul and Tarik A. Rashid. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Education.

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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