H. Pal Thethi
- Neurology top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Urban Studies top 5%
- Co-authors
- Nilesh Bhaskarrao BahadureArun Kumar RayNakul GuptaMalik Bader AlazzamRajiv Kumar SinghSwati SwayamsiddhaSantosh Kumar NandaLalit Kumar Tyagi
- Topics
- Brain Tumor Detection and Classification (6 papers)Medical Image Segmentation Techniques (5 papers)PAPR reduction in OFDM (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaWireless Personal CommunicationsMaterials Today Proceedings
In The Last Decade
H. Pal Thethi
17 papers receiving 595 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Neurology 477
- Computer Vision and Pattern Recognition 395
- Artificial Intelligence 169
- Radiology, Nuclear Medicine and Imaging 104
- Urban Studies 52
Countries citing papers authored by H. Pal Thethi
This map shows the geographic impact of H. Pal Thethi'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 H. Pal Thethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Pal Thethi more than expected).
Fields of papers citing papers by H. Pal Thethi
This network shows the impact of papers produced by H. Pal Thethi. 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 H. Pal Thethi. The network helps show where H. Pal Thethi may publish in the future.
Co-authorship network of co-authors of H. Pal Thethi
This figure shows the co-authorship network connecting the top 25 collaborators of H. Pal Thethi. A scholar is included among the top collaborators of H. Pal Thethi 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 H. Pal Thethi. H. Pal Thethi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 79 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | PERFORMANCE COMPARISON OF ADAPTIVE CHANNEL EQUALIZERS USING DIFFERENT VARIANTS OF DIFFERENTIAL EVOLUTION | 1 |
| 15 | 116 | |
| 16 | Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVMbreakdown → | 400 |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | Performance analysis of image segmentation using watershed algorithm, fuzzy C-means of clustering algorithm and Simulink design | 6 |
About H. Pal Thethi
H. Pal Thethi is a scholar working on Neurology, Urban Studies and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 648 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (6 papers), Medical Image Segmentation Techniques (5 papers) and PAPR reduction in OFDM (5 papers). The work is most often cited by research in Neurology (477 citations), Computer Vision and Pattern Recognition (395 citations) and Urban Studies (52 citations). H. Pal Thethi has collaborated with scholars based in India, Iraq and Nepal. Frequent co-authors include Nilesh Bhaskarrao Bahadure, Arun Kumar Ray, Nakul Gupta, Malik Bader Alazzam, Rajiv Kumar Singh, Swati Swayamsiddha, Santosh Kumar Nanda, Lalit Kumar Tyagi, Myasar Mundher Adnan and Sonali Vyas. Their work appears in journals such as SHILAP Revista de lepidopterología, Wireless Personal Communications and Materials Today Proceedings.
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.