Niloy Ganguly

7.0k total citations
258 papers, 4.0k citations indexed

About

Niloy Ganguly is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Niloy Ganguly has authored 258 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 90 papers in Statistical and Nonlinear Physics and 51 papers in Computer Networks and Communications. Recurrent topics in Niloy Ganguly's work include Complex Network Analysis Techniques (84 papers), Opinion Dynamics and Social Influence (40 papers) and Topic Modeling (34 papers). Niloy Ganguly is often cited by papers focused on Complex Network Analysis Techniques (84 papers), Opinion Dynamics and Social Influence (40 papers) and Topic Modeling (34 papers). Niloy Ganguly collaborates with scholars based in India, Germany and United States. Niloy Ganguly's co-authors include Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi, Abhijnan Chakraborty, Koustav Rudra, Tanmoy Chakraborty, Pawan Goyal, Naveen Kumar Sharma, Sourya Kakarla and Bhargavi Paranjape and has published in prestigious journals such as Scientific Reports, Communications of the ACM and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Niloy Ganguly

246 papers receiving 3.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Niloy Ganguly India	31	1.6k	1.3k	1.1k	903	759	258	4.0k
Belle L. Tseng United States	30	1.6k 1.0×	2.1k 1.6×	1.2k 1.1×	943 1.0×	591 0.8×	69	4.5k
Hamed Haddadi United Kingdom	29	1.8k 1.1×	1.4k 1.1×	1.0k 0.9×	1.2k 1.3×	1.5k 2.0×	108	5.3k
Jennifer Golbeck United States	34	2.2k 1.3×	905 0.7×	1.8k 1.6×	2.0k 2.2×	919 1.2×	139	5.3k
Natalie Glance United States	20	2.0k 1.2×	3.2k 2.5×	1.6k 1.4×	1.5k 1.6×	1.0k 1.3×	42	6.2k
R. Guha United States	12	2.0k 1.2×	1.4k 1.1×	1.4k 1.3×	813 0.9×	787 1.0×	16	3.6k
Athena Vakali Greece	27	1.8k 1.1×	525 0.4×	1.4k 1.2×	636 0.7×	1.5k 1.9×	180	4.3k
Jasmine Novak United States	17	931 0.6×	1.5k 1.2×	890 0.8×	585 0.6×	634 0.8×	20	3.1k
Hosung Park South Korea	15	1.3k 0.8×	2.1k 1.7×	1.3k 1.1×	1.3k 1.5×	1.2k 1.6×	117	5.0k
Eytan Adar United States	37	2.8k 1.7×	2.4k 1.9×	1.9k 1.7×	1.3k 1.4×	1.7k 2.2×	106	7.6k

Countries citing papers authored by Niloy Ganguly

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Khatua, Aparup, et al.. (2024). Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions. arXiv (Cornell University). 1073–1082. 8 indexed citations

Mukherjee, Rajdeep, et al.. (2024). MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts. ACM Transactions on the Web. 18(3). 1–26. 1 indexed citations

Mukherjee, Animesh, et al.. (2024). Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs. 15681–15701. 1 indexed citations

Hegde, M.V., et al.. (2024). Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. 7391–7403. 1 indexed citations

Ganguly, Niloy, et al.. (2023). Ensuring generalized fairness in batch classification. Scientific Reports. 13(1). 18892–18892. 1 indexed citations

Mukherjee, Animesh, et al.. (2023). Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks. 8619–8629. 2 indexed citations

Ganguly, Niloy, et al.. (2023). MASCARA : Systematically Generating Memorable And Secure Passphrases. 524–538. 3 indexed citations

Mukherjee, Rajdeep, Soumya Sharma, M.V. Hegde, et al.. (2022). ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. 10893–10906. 6 indexed citations

Goyal, Pawan, et al.. (2022). CrysXPP: An explainable property predictor for crystalline materials. npj Computational Materials. 8(1). 15 indexed citations

10.

Ganguly, Niloy, et al.. (2021). Modeling Inter-process Dynamics in Competitive Temporal Point Processes. Journal of the Indian Institute of Science. 101(3). 455–484. 1 indexed citations

11.

Shrivastava, Aviral, Bivas Mitra, Sujoy Saha, et al.. (2020). A Smartphone-Based Passenger Assistant for Public Bus Commute in Developing Countries. IEEE Transactions on Computational Social Systems. 7(2). 465–476. 2 indexed citations

12.

Ganguly, Niloy, et al.. (2019). A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. IEEE Transactions on Computational Social Systems. 6(6). 1232–1244. 11 indexed citations

13.

Chakraborty, Tanmoy, et al.. (2018). ComPAS: Community Preserving Sampling for Streaming Graphs. Adaptive Agents and Multi-Agents Systems. 184–192. 1 indexed citations

14.

Marsili, Matteo, et al.. (2017). Influence of reviewer interaction network on long-term citations: a case study of the scientific peer-review system of the journal of high energy physics. arXiv (Cornell University). 179–188. 4 indexed citations

15.

Goyal, Pawan, et al.. (2016). A graphical framework to detect and categorize diverse opinions from online news.. International Conference on Computational Linguistics. 40–49. 4 indexed citations

16.

Chakraborty, Abhijnan, et al.. (2015). Can Trending News Stories Create Coverage Bias? On the Impact of High Content Churn in Online News Media. MPG.PuRe (Max Planck Society). 14 indexed citations

17.

Chakraborty, Tanmoy, et al.. (2014). Towards a stratified learning approach to predict future citation counts. 351–360. 45 indexed citations

18.

Ghosh, Saptarshi, et al.. (2010). The effects of restrictions on number of connections in OSNs: a case-study on twitter. 10–10. 5 indexed citations

19.

Ganguly, Niloy, Andreas Deutsch, & Animesh Mukherjee. (2009). Applications to biology, computer science, and the social sciences. Birkhäuser eBooks. 2 indexed citations

20.

Maji, Pradipta, et al.. (2003). Theory and Application of Cellular Automata For Pattern Classification. Fundamenta Informaticae. 58(3). 321–354. 42 indexed citations

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.

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