Devendra Singh Sachan
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Molecular Biology
- Signal Processing
- Co-authors
- Sarguna Janani PadmanabhanMatthieu FelixQi YeGraham NeubigSashank J. ReddiSanjiv KumarManzil ZaheerSatyen Kale
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (7 papers)Multimodal Machine Learning Applications (3 papers)
- Journals
- Transactions of the Association for Computational LinguisticsMonash University Research Portal (Monash University)arXiv (Cornell University)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Devendra Singh Sachan
11 papers receiving 313 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 289
- Computer Vision and Pattern Recognition 118
- Information Systems 32
- Molecular Biology 17
- Signal Processing 14
Countries citing papers authored by Devendra Singh Sachan
This map shows the geographic impact of Devendra Singh Sachan'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 Devendra Singh Sachan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devendra Singh Sachan more than expected).
Fields of papers citing papers by Devendra Singh Sachan
This network shows the impact of papers produced by Devendra Singh Sachan. 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 Devendra Singh Sachan. The network helps show where Devendra Singh Sachan may publish in the future.
Co-authorship network of co-authors of Devendra Singh Sachan
This figure shows the co-authorship network connecting the top 25 collaborators of Devendra Singh Sachan. A scholar is included among the top collaborators of Devendra Singh Sachan 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 Devendra Singh Sachan. Devendra Singh Sachan 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 | 3 | |
| 3 | 14 | |
| 4 | 37 | |
| 5 | Adaptive Methods for Nonconvex Optimization | 102 |
| 6 | XNMT: the eXtensible Neural Machine Translation toolkit | 13 |
| 7 | Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition. | 11 |
| 8 | 135 | |
| 9 | Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition. | 6 |
| 10 | Sports video classification from multimodal information using deep neural networks | 6 |
| 11 | 3 |
About Devendra Singh Sachan
Devendra Singh Sachan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 11 papers that have together received 331 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Artificial Intelligence (289 citations), Computer Vision and Pattern Recognition (118 citations) and Information Systems (32 citations). Devendra Singh Sachan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Sarguna Janani Padmanabhan, Matthieu Felix, Qi Ye, Graham Neubig, Sashank J. Reddi, Sanjiv Kumar, Manzil Zaheer, Satyen Kale, Joëlle Pineau and Michael Lewis. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Monash University Research Portal (Monash University) and arXiv (Cornell University).
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.