Justin Hudak

37 total papers · 799 total citations
30 papers, 543 citations indexed

About

Justin Hudak is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Justin Hudak has authored 30 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 13 papers in Experimental and Cognitive Psychology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Justin Hudak's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers), Neural and Behavioral Psychology Studies (11 papers) and Mindfulness and Compassion Interventions (9 papers). Justin Hudak is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers), Neural and Behavioral Psychology Studies (11 papers) and Mindfulness and Compassion Interventions (9 papers). Justin Hudak collaborates with scholars based in Germany, United States and United Kingdom. Justin Hudak's co-authors include Ann‐Christine Ehlis, Andreas J. Fallgatter, Eric L. Garland, Thomas Dresler, Yoshio Nakamura, Adam W. Hanley, Florian B. Haeussinger, Friederike Blume, Caterina Gawrilow and Tobias Renner and has published in prestigious journals such as PLoS ONE, American Psychologist and Scientific Reports.

In The Last Decade

Justin Hudak

29 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
Justin Hudak	285	135	128	127	110	30	543
Katsutoshi Yokoyama	241 0.8×	55 0.4×	199 1.6×	61 0.5×	164 1.5×	25	599
Xin Hou	229 0.8×	95 0.7×	94 0.7×	110 0.9×	54 0.5×	27	518
Yosuke Sakairi	196 0.7×	81 0.6×	94 0.7×	65 0.5×	213 1.9×	34	618
Yuichi Takei	429 1.5×	143 1.1×	104 0.8×	114 0.9×	49 0.4×	33	619
Bodo Warrings	146 0.5×	81 0.6×	64 0.5×	75 0.6×	117 1.1×	20	549
Stefanie Köhler	243 0.9×	107 0.8×	54 0.4×	86 0.7×	103 0.9×	37	515
Yanqiu Wang	113 0.4×	97 0.7×	80 0.6×	52 0.4×	48 0.4×	21	521
Masaki Fumoto	200 0.7×	93 0.7×	25 0.2×	73 0.6×	127 1.2×	24	526
Vera Abeln	154 0.5×	35 0.3×	47 0.4×	60 0.5×	86 0.8×	37	597
Jean-Marie Batail	303 1.1×	45 0.3×	67 0.5×	54 0.4×	44 0.4×	31	470

Countries citing papers authored by Justin Hudak

Since Specialization

Citations

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

Fields of papers citing papers by Justin Hudak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Hudak

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