Arijit Khan

2.4k total citations
76 papers, 1.5k citations indexed

About

Arijit Khan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Arijit Khan has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 23 papers in Computer Networks and Communications. Recurrent topics in Arijit Khan's work include Advanced Graph Neural Networks (36 papers), Graph Theory and Algorithms (27 papers) and Data Management and Algorithms (21 papers). Arijit Khan is often cited by papers focused on Advanced Graph Neural Networks (36 papers), Graph Theory and Algorithms (27 papers) and Data Management and Algorithms (21 papers). Arijit Khan collaborates with scholars based in Singapore, Denmark and United States. Arijit Khan's co-authors include Xifeng Yan, Tao Shu, Charų C. Aggarwal, Nikos Anerousis, Gustavo Alonso, Yinghui Wu, Bo Zong, Shengqi Yang, Sourav Sen Gupta and Lawrence Jenkins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Arijit Khan

68 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arijit Khan Singapore	19	705	603	506	494	333	76	1.5k
Byron Choi Hong Kong	23	904 1.3×	656 1.1×	466 0.9×	480 1.0×	629 1.9×	126	1.7k
Jagan Sankaranarayanan United States	18	504 0.7×	542 0.9×	529 1.0×	316 0.6×	1.0k 3.1×	50	1.9k
Benjamin Moseley United States	15	594 0.8×	611 1.0×	326 0.6×	278 0.6×	231 0.7×	89	1.3k
HweeHwa Pang Singapore	21	984 1.4×	651 1.1×	699 1.4×	248 0.5×	337 1.0×	88	1.6k
Yingyi Bu United States	18	520 0.7×	730 1.2×	792 1.6×	572 1.2×	270 0.8×	32	1.4k
Kjetil Nørvåg Norway	22	544 0.8×	726 1.2×	647 1.3×	253 0.5×	681 2.0×	111	1.6k
Bahman Bahmani United States	8	523 0.7×	271 0.4×	263 0.5×	340 0.7×	252 0.8×	11	956
Michalis Potamias United States	10	311 0.4×	318 0.5×	203 0.4×	265 0.5×	500 1.5×	16	913
Lejian Liao China	20	784 1.1×	213 0.4×	569 1.1×	271 0.5×	84 0.3×	123	1.3k
Lijun Chang Australia	29	1.2k 1.7×	1.1k 1.9×	438 0.9×	950 1.9×	1.1k 3.3×	102	2.5k

Countries citing papers authored by Arijit Khan

Since Specialization

Citations

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

Fields of papers citing papers by Arijit Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arijit Khan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Tianxing, et al.. (2025). Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. 24589–24608.

Akçora, Cüneyt Gürcan, et al.. (2025). Machine Learning for Blockchain Data Analysis: Progress and Opportunities. VBN Forskningsportal (Aalborg Universitet). 5(1). 1–27. 3 indexed citations

Li, Feiyang, et al.. (2025). CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. VBN Forskningsportal (Aalborg Universitet). 3119–3171.

Khan, Arijit, et al.. (2025). Enhancing glucose level prediction of ICU patients through hierarchical modeling of irregular time-series. Computational and Structural Biotechnology Journal. 27. 2898–2914. 2 indexed citations

Khan, Arijit, et al.. (2024). Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. IEEE Transactions on Knowledge and Data Engineering. 37(1). 408–422. 1 indexed citations

Zhao, Lin, et al.. (2024). Identifying shader sub-patterns for GPU performance tuning and architecture design. Scientific Reports. 14(1). 24036–24036.

Zhu, Jason, Arijit Khan, & Cüneyt Gürcan Akçora. (2024). Data depth and core-based trend detection on blockchain transaction networks. SHILAP Revista de lepidopterología. 7. 3 indexed citations

Mihindukulasooriya, Nandana, et al.. (2024). Knowledge Graphs for Responsible AI. VBN Forskningsportal (Aalborg Universitet). 5596–5598.

Wu, Yinghui, et al.. (2024). View-based Explanations for Graph Neural Networks (Extended Abstract). VBN Forskningsportal (Aalborg Universitet). 1–2. 1 indexed citations

10.

Wang, Yuxiang, et al.. (2022). Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 2914–2927. 9 indexed citations

11.

Wang, Yuxiang, et al.. (2020). Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. 445–456. 23 indexed citations

12.

Feng, Shanshan, Gao Cong, Arijit Khan, et al.. (2018). Inf2vec: Latent Representation Model for Social Influence Embedding. 941–952. 52 indexed citations

13.

Khan, Arijit, et al.. (2018). Finding Seeds and Relevant Tags Jointly. 1097–1111. 17 indexed citations

14.

Khan, Arijit, et al.. (2017). Probabilistic Entity Resolution with Imperfect Crowd. arXiv (Cornell University). 1 indexed citations

15.

Khan, Arijit & Charų C. Aggarwal. (2016). Query-friendly compression of graph streams. 130–137. 8 indexed citations

16.

Luo, Gang, Chunhua Weng, Arijit Khan, et al.. (2016). Biomedical Data Management and Graph Online Querying : VLDB 2015 Workshops, Big-O (Q) and DMAH, Waikoloa, HI, USA, August 31 September 4, 2015, Revised Selected Papers. Springer eBooks. 3 indexed citations

17.

Khan, Arijit, et al.. (2016). Augmented Sketch. 1449–1463. 138 indexed citations

18.

Khan, Arijit, et al.. (2011). Neighborhood based fast graph search in large networks. 901–912. 83 indexed citations

19.

Khan, Arijit, Xifeng Yan, & Kun‐Lung Wu. (2010). Towards proximity pattern mining in large graphs. 867–878. 35 indexed citations

20.

Khan, Arijit & Lawrence Jenkins. (2008). Undersea wireless sensor network for ocean pollution prevention. 2–8. 45 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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