Joydeep Chandra

688 total citations
58 papers, 384 citations indexed

About

Joydeep Chandra is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Joydeep Chandra has authored 58 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 18 papers in Statistical and Nonlinear Physics and 12 papers in Computer Networks and Communications. Recurrent topics in Joydeep Chandra's work include Complex Network Analysis Techniques (17 papers), Topic Modeling (11 papers) and Traffic Prediction and Management Techniques (8 papers). Joydeep Chandra is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Topic Modeling (11 papers) and Traffic Prediction and Management Techniques (8 papers). Joydeep Chandra collaborates with scholars based in India, Portugal and Germany. Joydeep Chandra's co-authors include Sourav Kumar Dandapat, João Mendes‐Moreira, Samrat Mondal, Kripabandhu Ghosh, Raju Halder, Niloy Ganguly, Ashok Singh Sairam, Parul Agarwal, Brijesh Singh Yadav and Arun K. Pandey and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Joydeep Chandra

51 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joydeep Chandra India 12 208 71 63 56 53 58 384
Loris Belcastro Italy 12 112 0.5× 61 0.9× 35 0.6× 25 0.4× 83 1.6× 32 374
Xovee Xu China 12 263 1.3× 63 0.9× 244 3.9× 34 0.6× 68 1.3× 42 488
Onur Küçüktunç United States 11 172 0.8× 41 0.6× 46 0.7× 35 0.6× 147 2.8× 18 520
Engin Demir Türkiye 6 394 1.9× 69 1.0× 116 1.8× 11 0.2× 228 4.3× 13 568
P Deepak India 14 330 1.6× 107 1.5× 31 0.5× 16 0.3× 202 3.8× 70 613
O‐Joun Lee South Korea 13 169 0.8× 76 1.1× 64 1.0× 7 0.1× 65 1.2× 58 421
Guodao Sun China 10 111 0.5× 58 0.8× 81 1.3× 31 0.6× 23 0.4× 27 442
Haoruo Peng United States 12 386 1.9× 15 0.2× 22 0.3× 22 0.4× 49 0.9× 21 471
Marcin Sydow Poland 11 245 1.2× 38 0.5× 23 0.4× 6 0.1× 164 3.1× 32 397
Jalel Akaichi Tunisia 10 175 0.8× 40 0.6× 62 1.0× 5 0.1× 104 2.0× 88 349

Countries citing papers authored by Joydeep Chandra

Since Specialization
Citations

This map shows the geographic impact of Joydeep Chandra'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 Joydeep Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joydeep Chandra more than expected).

Fields of papers citing papers by Joydeep Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joydeep Chandra. 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 Joydeep Chandra. The network helps show where Joydeep Chandra may publish in the future.

Co-authorship network of co-authors of Joydeep Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Joydeep Chandra. A scholar is included among the top collaborators of Joydeep Chandra 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 Joydeep Chandra. Joydeep Chandra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sharma, Rajesh Kumar, et al.. (2025). Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data. Artificial Intelligence in Medicine. 165. 103134–103134. 1 indexed citations
2.
Srivastava, V.J., et al.. (2025). NoRD: A framework for noise-resilient self-distillation through relative supervision. Applied Intelligence. 55(7). 1 indexed citations
3.
Dandapat, Sourav Kumar, et al.. (2025). Multi-source domain adaptation approach to classify infrastructure damage tweets during crisis. International Journal of Data Science and Analytics. 20(4). 3981–4005.
4.
Chandra, Joydeep, et al.. (2024). StAlK: Structural Alignment based Self Knowledge distillation for Medical Image Classification. Knowledge-Based Systems. 304. 112503–112503. 6 indexed citations
5.
Chandra, Joydeep, et al.. (2024). A Novel Artificial Intelligence System for the Prediction of Interstitial Lung Diseases. SN Computer Science. 5(1).
6.
Halder, Raju, et al.. (2024). SpaTeD: Sparsity-Aware Tensor Decomposition-Based Representation Learning Framework for Phishing Scams Detection. IEEE Transactions on Computational Social Systems. 12(1). 320–334. 5 indexed citations
7.
Chandra, Joydeep, et al.. (2024). Secure and Scalable AI: Insights into Federated Learning Algorithms and Platforms. 2(2). 15–27. 1 indexed citations
8.
Mendes‐Moreira, João, et al.. (2024). Spatio-Temporal Parallel Transformer Based Model for Traffic Prediction. ACM Transactions on Knowledge Discovery from Data. 18(9). 1–25. 11 indexed citations
9.
Mendes‐Moreira, João, et al.. (2024). Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey. ACM Computing Surveys. 57(2). 1–42. 13 indexed citations
10.
Chandra, Joydeep, et al.. (2023). SAlign: A Graph Neural Attention Framework for Aligning Structurally Heterogeneous Networks. Journal of Artificial Intelligence Research. 77. 949–969.
11.
Halder, Raju, et al.. (2023). Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection. Blockchain Research and Applications. 4(4). 100153–100153. 12 indexed citations
12.
Chandra, Joydeep, et al.. (2022). SigGAN: Adversarial Model for Learning Signed Relationships in Networks. ACM Transactions on Knowledge Discovery from Data. 17(1). 1–20. 2 indexed citations
13.
Chandra, Joydeep, et al.. (2022). HCNA: Hyperbolic Contrastive Learning Framework for Self-Supervised Network Alignment. Information Processing & Management. 59(5). 103021–103021. 13 indexed citations
14.
Chandra, Joydeep, et al.. (2020). Forecasting the Future. 219–223. 2 indexed citations
15.
Dandapat, Sourav Kumar, et al.. (2019). Tweet Summarization of News Articles: An Objective Ordering-Based Perspective. IEEE Transactions on Computational Social Systems. 6(4). 761–777. 22 indexed citations
16.
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
17.
Chandra, Joydeep, et al.. (2019). Predictive Flow Modeling in Software Defined Network. 1494–1498. 4 indexed citations
18.
Gopalakrishnan, Karthik, et al.. (2015). Social Interaction in Flickr: Mechanisms and Role in Link Formation.. arXiv (Cornell University). 1 indexed citations
19.
Chandra, Joydeep, et al.. (2011). Optimizing topology in Bit Torrent based networks. 1. 888–893. 1 indexed citations
20.
Chandra, Joydeep, et al.. (2009). HPC5: An efficient topology generation mechanism for Gnutella networks. Computer Networks. 54(9). 1440–1459. 4 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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