Santanu Pal
About
In The Last Decade
Santanu Pal
52 papers receiving 549 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 596
- Computer Vision and Pattern Recognition 148
- Information Systems 46
- Language and Linguistics 30
- Molecular Biology 28
Countries citing papers authored by Santanu Pal
This map shows the geographic impact of Santanu Pal'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 Santanu Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santanu Pal more than expected).
Fields of papers citing papers by Santanu Pal
This network shows the impact of papers produced by Santanu Pal. 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 Santanu Pal. The network helps show where Santanu Pal may publish in the future.
Co-authorship network of co-authors of Santanu Pal
This figure shows the co-authorship network connecting the top 25 collaborators of Santanu Pal. A scholar is included among the top collaborators of Santanu Pal 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 Santanu Pal. Santanu Pal 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 | 2 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 22 | |
| 7 | Findings of the 2019 Conference on Machine Translation (WMT19) breakdown → | 256 |
| 8 | Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity | 7 |
| 9 | CATaLog Online: Porting a Post-editing Tool to the Web. | 7 |
| 10 | CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research | 4 |
| 11 | How Sentiment Analysis Can Help Machine Translation | 2 |
| 12 | A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation | 10 |
| 13 | Improving MT System Using Extracted Parallel Fragments of Text from Comparable Corpora | 14 |
| 14 | Detection and Correction of Preposition and Determiner Errors in English: HOO 2012 | 1 |
| 15 | May I check the English of your paper | 4 |
| 16 | Handling Named Entities and Compound Verbs in Phrase-Based Statistical Machine Translation | 19 |
| 17 | JU-CSE-TE: System description QA@CLEF 2010 - ResPubliQA | 9 |
| 18 | Automatic Extraction of Complex Predicates in Bengali | 6 |
| 19 | JU: A Supervised Approach to Identify Semantic Relations from Paired Nominals | 3 |
| 20 | JU_CSE_TAC: Textual Entailment Recognition System at TAC RTE-6 | 7 |
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.