Kamalika Das

898 total citations
33 papers, 454 citations indexed

About

Kamalika Das is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Kamalika Das has authored 33 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Kamalika Das's work include Topic Modeling (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Kamalika Das is often cited by papers focused on Topic Modeling (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Kamalika Das collaborates with scholars based in United States, France and Slovenia. Kamalika Das's co-authors include Kanishka Bhaduri, Alan Li, Ved Chirayath, Michal Segal‐Rozenhaimer, Hillol Kargupta, Kumar Sricharan, Bryan Matthews, Kun Liu, Ashok N. Srivastava and Nikunj C. Oza and has published in prestigious journals such as Remote Sensing of Environment, Lecture notes in computer science and Knowledge and Information Systems.

In The Last Decade

Kamalika Das

29 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamalika Das United States 11 218 73 67 64 62 33 454
Tieli Sun China 11 275 1.3× 35 0.5× 32 0.5× 47 0.7× 93 1.5× 30 488
Shyam Boriah United States 13 337 1.5× 85 1.2× 117 1.7× 54 0.8× 93 1.5× 31 679
Sonajharia Minz India 10 157 0.7× 45 0.6× 42 0.6× 63 1.0× 89 1.4× 57 533
Xiaohui Huang China 11 179 0.8× 52 0.7× 28 0.4× 95 1.5× 104 1.7× 48 470
Mladen Nikolić Serbia 9 136 0.6× 71 1.0× 30 0.4× 20 0.3× 95 1.5× 20 547
Marijke F. Augusteijn United States 10 129 0.6× 36 0.5× 94 1.4× 92 1.4× 146 2.4× 26 429
Libin Jiao China 13 94 0.4× 86 1.2× 33 0.5× 82 1.3× 146 2.4× 47 439
Sizhe Wang China 14 116 0.5× 47 0.6× 25 0.4× 87 1.4× 346 5.6× 48 697
Xiaoxia Wang China 11 141 0.6× 36 0.5× 109 1.6× 51 0.8× 24 0.4× 53 620

Countries citing papers authored by Kamalika Das

Since Specialization
Citations

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

Fields of papers citing papers by Kamalika Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamalika Das

This figure shows the co-authorship network connecting the top 25 collaborators of Kamalika Das. A scholar is included among the top collaborators of Kamalika Das 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 Kamalika Das. Kamalika Das 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.
Wang, Yu, Jiaxin Zhang, Xiang Gao, et al.. (2025). Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation. 8206–8217.
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Das, Kamalika, et al.. (2024). Customizing Language Model Responses with Contrastive In-Context Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18039–18046. 2 indexed citations
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Gao, Xiang, et al.. (2024). SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models. 2336–2346. 2 indexed citations
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Sorek‐Hamer, Meytar, Ata Akbari Asanjan, Esra Süel, et al.. (2022). A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery. Atmosphere. 13(5). 696–696. 9 indexed citations
9.
Chirayath, Ved, Alan Li, Michal Segal‐Rozenhaimer, et al.. (2020). NeMO-Net – The Neural Multi-Modal Observation & Training Network for Global Coral Reef Assessment. NASA STI Repository (National Aeronautics and Space Administration).
10.
Asanjan, Ata Akbari, Kamalika Das, Alan Li, et al.. (2020). Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps. 2617–2624. 6 indexed citations
11.
Koehler, Christian, et al.. (2015). PerCCS. 987–998. 14 indexed citations
12.
Das, Kamalika, Kanishka Bhaduri, Bryan Matthews, & Nikunj C. Oza. (2015). Large scale support vector regression for aviation safety. 1. 999–1006. 2 indexed citations
13.
Matthews, Bryan, Santanu Das, Kanishka Bhaduri, et al.. (2013). Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. Journal of Aerospace Information Systems. 10(10). 467–475. 47 indexed citations
14.
Das, Kamalika & Ashok N. Srivastava. (2013). Sparse inverse kernel Gaussian Process regression. Statistical Analysis and Data Mining The ASA Data Science Journal. 6(3). 205–220. 3 indexed citations
15.
Das, Kamalika, Kanishka Bhaduri, & P. Votava. (2011). Distributed anomaly detection using 1‐class SVM for vertically partitioned data. Statistical Analysis and Data Mining The ASA Data Science Journal. 4(4). 393–406. 13 indexed citations
16.
Das, Kamalika & Ashok N. Srivastava. (2011). SPARSE INVERSE GAUSSIAN PROCESS REGRESSION WITH APPLICATION TO CLIMATE NETWORK DISCOVERY. 233–247. 1 indexed citations
17.
Bhaduri, Kanishka, et al.. (2011). Scalable, asynchronous, distributed eigen monitoring of astronomy data streams. Statistical Analysis and Data Mining The ASA Data Science Journal. 4(3). 336–352. 4 indexed citations
18.
Bhaduri, Kanishka, Kamalika Das, & P. Votava. (2010). Distributed Anomaly Detection using Satellite Data From Multiple Modalitie.. 109–123. 8 indexed citations
19.
Das, Kamalika & Ashok N. Srivastava. (2010). Block-GP: Scalable Gaussian Process Regression for Multimodal Data. 791–796. 18 indexed citations
20.
Das, Kamalika, Kanishka Bhaduri, & Hillol Kargupta. (2010). Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks. Peer-to-Peer Networking and Applications. 4(2). 192–209. 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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