Niloy Ganguly
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Information Systems top 0.5%
- Sociology and Political Science top 2%
- Computer Networks and Communications top 2%
- Co-authors
- Saptarshi GhoshAnimesh MukherjeeKrishna P. GummadiAbhijnan ChakrabortyKoustav RudraTanmoy ChakrabortyPawan GoyalNaveen Kumar Sharma
- Topics
- Complex Network Analysis Techniques (84 papers)Opinion Dynamics and Social Influence (40 papers)Topic Modeling (34 papers)
- Journals
- Scientific ReportsCommunications of the ACMIEEE Journal on Selected Areas in Communications
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Niloy Ganguly
246 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 1.6k
- Statistical and Nonlinear Physics 1.3k
- Information Systems 1.1k
- Sociology and Political Science 903
- Computer Networks and Communications 759
Countries citing papers authored by Niloy Ganguly
This map shows the geographic impact of Niloy Ganguly'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 Niloy Ganguly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niloy Ganguly more than expected).
Fields of papers citing papers by Niloy Ganguly
This network shows the impact of papers produced by Niloy Ganguly. 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 Niloy Ganguly. The network helps show where Niloy Ganguly may publish in the future.
Co-authorship network of co-authors of Niloy Ganguly
This figure shows the co-authorship network connecting the top 25 collaborators of Niloy Ganguly. A scholar is included among the top collaborators of Niloy Ganguly 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 Niloy Ganguly. Niloy Ganguly 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | Design Patterns from Biology for Distributed Computing | 20 |
| 20 | 42 |
About Niloy Ganguly
Niloy Ganguly is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Transportation, having authored 258 papers that have together received 4.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (84 papers), Opinion Dynamics and Social Influence (40 papers) and Topic Modeling (34 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Communication (473 citations) and Artificial Intelligence (1.6k citations). Niloy Ganguly has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi, Abhijnan Chakraborty, Koustav Rudra, Tanmoy Chakraborty, Pawan Goyal, Naveen Kumar Sharma, Bhargavi Paranjape and Sourya Kakarla. Their work appears in journals such as Scientific Reports, Communications of the ACM and IEEE Journal on Selected Areas in Communications.
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.