Rohit Kumar Kaliyar
- Sociology and Political Science top 2%
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Anurag GoswamiPratik NarangSoumendu SinhaSuneet GuptaVidit JainMohit AgarwalGaurav SingalYashvardhan Sharma
- Topics
- Spam and Phishing Detection (16 papers)Misinformation and Its Impacts (16 papers)Advanced Malware Detection Techniques (10 papers)
- Partner nations
- IndiaEgyptSaudi Arabia
In The Last Decade
Rohit Kumar Kaliyar
25 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Sociology and Political Science 935
- Information Systems 817
- Artificial Intelligence 584
- Signal Processing 326
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Rohit Kumar Kaliyar
This map shows the geographic impact of Rohit Kumar Kaliyar'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 Kumar Kaliyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Kumar Kaliyar more than expected).
Fields of papers citing papers by Rohit Kumar Kaliyar
This network shows the impact of papers produced by Rohit Kumar Kaliyar. 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 Kumar Kaliyar. The network helps show where Rohit Kumar Kaliyar may publish in the future.
Co-authorship network of co-authors of Rohit Kumar Kaliyar
This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Kumar Kaliyar. A scholar is included among the top collaborators of Rohit Kumar Kaliyar 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 Rohit Kumar Kaliyar. Rohit Kumar Kaliyar 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 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 72 | |
| 10 | 39 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 6 | |
| 14 | FNDNet – A deep convolutional neural network for fake news detectionbreakdown → | 300 |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 30 | |
| 18 | 31 | |
| 19 | 55 | |
| 20 | 8 |
About Rohit Kumar Kaliyar
Rohit Kumar Kaliyar is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spam and Phishing Detection (16 papers), Misinformation and Its Impacts (16 papers) and Advanced Malware Detection Techniques (10 papers). The work is most often cited by research in Information Systems (817 citations), Signal Processing (326 citations) and Sociology and Political Science (935 citations). Rohit Kumar Kaliyar has collaborated with scholars based in India, Egypt and Saudi Arabia. Frequent co-authors include Anurag Goswami, Pratik Narang, Soumendu Sinha, Suneet Gupta, Vidit Jain, Mohit Agarwal, Gaurav Singal, Yashvardhan Sharma, Vinay Chamola and Jay Yadav. Their work appears in journals such as IEEE Access, Neural Computing and Applications and Multimedia Tools and Applications.
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.