Valerie Hendrix

60 total papers · 479 total citations
13 papers, 190 citations indexed

About

Valerie Hendrix is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Valerie Hendrix has authored 13 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Information Systems and Management and 4 papers in Information Systems. Recurrent topics in Valerie Hendrix's work include Scientific Computing and Data Management (5 papers), Research Data Management Practices (4 papers) and Distributed and Parallel Computing Systems (4 papers). Valerie Hendrix is often cited by papers focused on Scientific Computing and Data Management (5 papers), Research Data Management Practices (4 papers) and Distributed and Parallel Computing Systems (4 papers). Valerie Hendrix collaborates with scholars based in United States, South Korea and Switzerland. Valerie Hendrix's co-authors include Danielle Christianson, Charuleka Varadharajan, Lavanya Ramakrishnan, Dan Gunter, D. Agarwal, Aranildo R. Lima, Jared Willard, Mohammed Ombadi, Juliane Müller and Samantha K. Oliver and has published in prestigious journals such as Remote Sensing, Hydrological Processes and Computers & Geosciences.

In The Last Decade

Valerie Hendrix

12 papers receiving 183 citations

Author Peers

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

Author						Papers	Cites
Valerie Hendrix	83	72	60	38	32	13	190
Roger Moore	129 1.6×	57 0.8×	76 1.3×	20 0.5×	43 1.3×	16	278
Howard Veregin	39 0.5×	66 0.9×	52 0.9×	18 0.5×	12 0.4×	21	267
Stuart Minchin	29 0.3×	58 0.8×	112 1.9×	18 0.5×	30 0.9×	10	279
Adel Abdallah	146 1.8×	53 0.7×	39 0.7×	11 0.3×	54 1.7×	11	276
Zhiyu Li	111 1.3×	82 1.1×	93 1.6×	25 0.7×	57 1.8×	21	286
James W. Warner	75 0.9×	131 1.8×	36 0.6×	13 0.3×	4 0.1×	26	266
Philippe Lamontagne	51 0.6×	55 0.8×	71 1.2×	72 1.9×	2 0.1×	14	249
Amanda Tan	16 0.2×	18 0.3×	38 0.6×	19 0.5×	12 0.4×	12	154
Mathew Wyatt	43 0.5×	19 0.3×	82 1.4×	11 0.3×	13 0.4×	16	259
Bruno De Fraine	69 0.8×	33 0.5×	36 0.6×	54 1.4×	5 0.2×	21	181

Countries citing papers authored by Valerie Hendrix

Since Specialization

Citations

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

Fields of papers citing papers by Valerie Hendrix

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerie Hendrix

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