Pramod Patil
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Sociology and Political Science
- Electrical and Electronic Engineering
- Co-authors
- Anurag GoswamiParikshit N. MahalleVipul Kumar MishraMadhav MaratheAkhil Sai PeddireddyParantapa BhattacharyaBrian KlahnDustin Machi
- Topics
- Spam and Phishing Detection (6 papers)Web Data Mining and Analysis (4 papers)Data Stream Mining Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaMultimedia Tools and ApplicationsJournal of Ambient Intelligence and Humanized Computing
- Partner nations
- IndiaUnited StatesIreland
In The Last Decade
Pramod Patil
12 papers receiving 191 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 107
- Information Systems 60
- Computer Networks and Communications 29
- Sociology and Political Science 20
- Electrical and Electronic Engineering 18
Countries citing papers authored by Pramod Patil
This map shows the geographic impact of Pramod Patil'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 Pramod Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramod Patil more than expected).
Fields of papers citing papers by Pramod Patil
This network shows the impact of papers produced by Pramod Patil. 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 Pramod Patil. The network helps show where Pramod Patil may publish in the future.
Co-authorship network of co-authors of Pramod Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Pramod Patil. A scholar is included among the top collaborators of Pramod Patil 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 Pramod Patil. Pramod Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 10 | |
| 12 | 17 | |
| 13 | 36 | |
| 14 | 2 | |
| 15 | Survey on web mining techniques for Extraction of top k list | 2 |
| 16 | 0 | |
| 17 | 107 | |
| 18 | 5 | |
| 19 | 1 |
About Pramod Patil
Pramod Patil is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 19 papers that have together received 210 indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Web Data Mining and Analysis (4 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (107 citations), Information Systems (60 citations) and Signal Processing (18 citations). Pramod Patil has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include Anurag Goswami, Parikshit N. Mahalle, Vipul Kumar Mishra, Madhav Marathe, Akhil Sai Peddireddy, Parantapa Bhattacharya, Brian Klahn, Dustin Machi, Mandy Wilson and Przemyslaw Porebski. Their work appears in journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Journal of Ambient Intelligence and Humanized Computing.
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.