Niladri Chatterjee
- Artificial Intelligence top 5%
- Safety, Risk, Reliability and Quality top 5%
- Information Systems top 10%
- Transportation top 10%
- Building and Construction
- Co-authors
- Geetam TiwariNeha KaushikDeepa GuptaM. V. Rama KrishnaShiwali MohanK. Ramachandra RaoUmang GuptaRenu Balyan
- Topics
- Natural Language Processing Techniques (34 papers)Topic Modeling (31 papers)Traffic and Road Safety (11 papers)
- Journals
- Expert Systems with ApplicationsAccident Analysis & PreventionPhysica A Statistical Mechanics and its Applications
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Niladri Chatterjee
68 papers receiving 456 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 283
- Safety, Risk, Reliability and Quality 103
- Information Systems 71
- Transportation 53
- Building and Construction 38
Countries citing papers authored by Niladri Chatterjee
This map shows the geographic impact of Niladri Chatterjee'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 Niladri Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niladri Chatterjee more than expected).
Fields of papers citing papers by Niladri Chatterjee
This network shows the impact of papers produced by Niladri Chatterjee. 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 Niladri Chatterjee. The network helps show where Niladri Chatterjee may publish in the future.
Co-authorship network of co-authors of Niladri Chatterjee
This figure shows the co-authorship network connecting the top 25 collaborators of Niladri Chatterjee. A scholar is included among the top collaborators of Niladri Chatterjee 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 Niladri Chatterjee. Niladri Chatterjee 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 4 | |
| 10 | DEPSYM: A Lightweight Syntactic Text Simplification Approach using Dependency Trees. | 4 |
| 11 | 3 | |
| 12 | 14 | |
| 13 | Modeling of Pedestrian Unsafe Road Crossing Behavior: Comparison at Signalized and Nonsignalized Crosswalks | 1 |
| 14 | 40 | |
| 15 | Context Resolution of Verb Particle Constructions for English to Hindi Translation | 2 |
| 16 | 22 | |
| 17 | 3 | |
| 18 | Pattern Ambiguity and its Resolution in English to Hindi Translation | 4 |
| 19 | 2 | |
| 20 | A caching scheme for time-critical knowledge-based computations | 2 |
About Niladri Chatterjee
Niladri Chatterjee is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality and Transportation, having authored 76 papers that have together received 502 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (34 papers), Topic Modeling (31 papers) and Traffic and Road Safety (11 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (103 citations), Artificial Intelligence (283 citations) and Transportation (53 citations). Niladri Chatterjee has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Geetam Tiwari, Neha Kaushik, Deepa Gupta, M. V. Rama Krishna, Shiwali Mohan, K. Ramachandra Rao, Umang Gupta, Renu Balyan, Joseph Fazio and P. Sahoo. Their work appears in journals such as Expert Systems with Applications, Accident Analysis & Prevention and Physica A Statistical Mechanics and its 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.