Rajkumar Saini
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Human-Computer Interaction top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Co-authors
- Partha Pratim RoyDebi Prosad DograPradeep KumarSanjay Kumar GhoshGyörgy KovácsPedro AlonsoMarcus LiwickiBarjinder Kaur
- Topics
- Handwritten Text Recognition Techniques (13 papers)EEG and Brain-Computer Interfaces (13 papers)Hand Gesture Recognition Systems (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Rajkumar Saini
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 388
- Cognitive Neuroscience 372
- Human-Computer Interaction 337
- Artificial Intelligence 233
- Biomedical Engineering 155
Countries citing papers authored by Rajkumar Saini
This map shows the geographic impact of Rajkumar Saini'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 Rajkumar Saini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajkumar Saini more than expected).
Fields of papers citing papers by Rajkumar Saini
This network shows the impact of papers produced by Rajkumar Saini. 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 Rajkumar Saini. The network helps show where Rajkumar Saini may publish in the future.
Co-authorship network of co-authors of Rajkumar Saini
This figure shows the co-authorship network connecting the top 25 collaborators of Rajkumar Saini. A scholar is included among the top collaborators of Rajkumar Saini 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 Rajkumar Saini. Rajkumar Saini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 60 | |
| 11 | 5 | |
| 12 | TheNorth at HASOC 2019 : Hate Speech Detection in Social Media Data | 6 |
| 13 | 67 | |
| 14 | 46 | |
| 15 | 2 | |
| 16 | 20 | |
| 17 | 25 | |
| 18 | 52 | |
| 19 | 28 | |
| 20 | Post-Pāṇinian systems of Sanskrit grammar | 1 |
About Rajkumar Saini
Rajkumar Saini is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), EEG and Brain-Computer Interfaces (13 papers) and Hand Gesture Recognition Systems (12 papers). The work is most often cited by research in Human-Computer Interaction (337 citations), Cognitive Neuroscience (372 citations) and Computer Vision and Pattern Recognition (388 citations). Rajkumar Saini has collaborated with scholars based in India, Sweden and France. Frequent co-authors include Partha Pratim Roy, Debi Prosad Dogra, Pradeep Kumar, Sanjay Kumar Ghosh, György Kovács, Pedro Alonso, Marcus Liwicki, Barjinder Kaur, Pallavi Kaushik and Byung‐Gyu Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.