Jason Waterman

31 total papers · 548 total citations
22 papers, 341 citations indexed

About

Jason Waterman is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Jason Waterman has authored 22 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. Recurrent topics in Jason Waterman's work include Context-Aware Activity Recognition Systems (7 papers), Distributed Control Multi-Agent Systems (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Jason Waterman is often cited by papers focused on Context-Aware Activity Recognition Systems (7 papers), Distributed Control Multi-Agent Systems (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Jason Waterman collaborates with scholars based in United States, Canada and Chile. Jason Waterman's co-authors include Matt Welsh, Geoffrey Challen, Karthik Dantu, Konrad Lorincz, Bor‐Rong Chen, G. Werner-Allen, Mark Gaynor, Peter Bailis, Lucila Ohno‐Machado and Robert A. Greenes and has published in prestigious journals such as The Journal of the Acoustical Society of America, The Journal of the American Board of Family Medicine and American Journal of Clinical Oncology.

In The Last Decade

Jason Waterman

21 papers receiving 320 citations

Author Peers

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

Author						Papers	Cites
Jason Waterman	218	86	79	58	52	22	341
Letizia Marchegiani	96 0.4×	57 0.7×	97 1.2×	52 0.9×	44 0.8×	24	304
Roberto Sannino	119 0.5×	81 0.9×	78 1.0×	21 0.4×	92 1.8×	16	296
Pietro Boccadoro	177 0.8×	145 1.7×	51 0.6×	26 0.4×	22 0.4×	22	336
Lenan Wu	119 0.5×	172 2.0×	78 1.0×	75 1.3×	21 0.4×	33	380
Aminul Haque	102 0.5×	56 0.7×	47 0.6×	36 0.6×	79 1.5×	38	304
Timothy Hnat	132 0.6×	128 1.5×	132 1.7×	45 0.8×	36 0.7×	15	360
Russell Clark	303 1.4×	102 1.2×	52 0.7×	92 1.6×	13 0.3×	29	385
Robert Sauter	306 1.4×	179 2.1×	68 0.9×	23 0.4×	21 0.4×	20	377
Felix Büsching	274 1.3×	175 2.0×	100 1.3×	18 0.3×	66 1.3×	33	388
Raja Bose	215 1.0×	130 1.5×	157 2.0×	41 0.7×	18 0.3×	23	402

Countries citing papers authored by Jason Waterman

Since Specialization

Citations

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

Fields of papers citing papers by Jason Waterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Waterman

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