Kamalika Das

79 total papers · 892 total citations
33 papers, 451 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 451 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 Anomaly Detection Techniques and Applications (6 papers), Topic Modeling (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Kamalika Das is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Topic Modeling (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Kamalika Das collaborates with scholars based in United States, Switzerland and Slovenia. Kamalika Das's co-authors include Kanishka Bhaduri, Ved Chirayath, Alan Li, 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 431 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kamalika Das	218	73	67	64	61	33	451
Dimitrios Michail	107 0.5×	59 0.8×	35 0.5×	51 0.8×	70 1.1×	39	470
Xiaohui Huang	176 0.8×	51 0.7×	28 0.4×	94 1.5×	101 1.7×	47	456
Tieli Sun	274 1.3×	35 0.5×	32 0.5×	47 0.7×	93 1.5×	30	486
Sonajharia Minz	157 0.7×	45 0.6×	40 0.6×	62 1.0×	88 1.4×	57	524
Jibo Xie	92 0.4×	77 1.1×	36 0.5×	75 1.2×	54 0.9×	31	470
Yi Du	153 0.7×	25 0.3×	60 0.9×	74 1.2×	159 2.6×	47	534
Guilu Wu	114 0.5×	83 1.1×	20 0.3×	42 0.7×	102 1.7×	32	480
Dan Mandl	177 0.8×	154 2.1×	35 0.5×	31 0.5×	41 0.7×	38	534
Mladen Nikolić	132 0.6×	71 1.0×	29 0.4×	20 0.3×	91 1.5×	20	532
Jianhua Zhao	115 0.5×	21 0.3×	49 0.7×	25 0.4×	67 1.1×	70	542

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

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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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