Madhu Prabaker

10 total papers · 918 total citations
9 papers, 586 citations indexed

About

Madhu Prabaker is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Madhu Prabaker has authored 9 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Madhu Prabaker's work include Usability and User Interface Design (2 papers), Privacy, Security, and Data Protection (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Madhu Prabaker is often cited by papers focused on Usability and User Interface Design (2 papers), Privacy, Security, and Data Protection (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Madhu Prabaker collaborates with scholars based in United States. Madhu Prabaker's co-authors include Jason Hong, Lorrie Faith Cranor, Ian Fette, Norman Sadeh, Jinghai Rao, Patrick Gage Kelley, Eben M. Haber, Paul P. Maglio, Leila Takayama and Madelaine Plauché and has published in prestigious journals such as Personal and Ubiquitous Computing and Figshare.

In The Last Decade

Madhu Prabaker

9 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
Madhu Prabaker	260	206	200	124	117	9	586
Giovanni Iachello	345 1.3×	143 0.7×	133 0.7×	54 0.4×	187 1.6×	16	587
Ian E. Smith	285 1.1×	86 0.4×	108 0.5×	83 0.7×	188 1.6×	7	602
Karen Tang	211 0.8×	104 0.5×	178 0.9×	37 0.3×	125 1.1×	20	553
Clemens Drews	105 0.4×	166 0.8×	183 0.9×	38 0.3×	99 0.8×	16	577
Mike Gartrell	121 0.5×	235 1.1×	136 0.7×	197 1.6×	59 0.5×	25	617
Joshua Gluck	213 0.8×	130 0.6×	180 0.9×	74 0.6×	38 0.3×	10	616
Souneil Park	152 0.6×	73 0.4×	125 0.6×	164 1.3×	68 0.6×	26	593
Ilaria Liccardi	273 1.1×	153 0.7×	118 0.6×	35 0.3×	63 0.5×	28	554
Joanna Bresee	394 1.5×	189 0.9×	164 0.8×	45 0.4×	110 0.9×	5	529
Sanjay Kairam	263 1.0×	188 0.9×	198 1.0×	52 0.4×	41 0.4×	23	688

Countries citing papers authored by Madhu Prabaker

Since Specialization

Citations

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

Fields of papers citing papers by Madhu Prabaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Prabaker

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Prabaker. A scholar is included among the top collaborators of Madhu Prabaker 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 Madhu Prabaker. Madhu Prabaker 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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