Jeffrey Habert

32 total papers · 748 total citations
13 papers, 154 citations indexed

About

Jeffrey Habert is a scholar working on Pharmacology, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Jeffrey Habert has authored 13 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 3 papers in Experimental and Cognitive Psychology and 3 papers in Psychiatry and Mental health. Recurrent topics in Jeffrey Habert's work include Treatment of Major Depression (6 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Clinical practice guidelines implementation (2 papers). Jeffrey Habert is often cited by papers focused on Treatment of Major Depression (6 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Clinical practice guidelines implementation (2 papers). Jeffrey Habert collaborates with scholars based in Canada, United States and Spain. Jeffrey Habert's co-authors include Roger S. McIntyre, Diane McIntosh, Martin A. Katzman, Glenda MacQueen, Roumen Milev, Pierre Blier, Sidney H. Kennedy, Atul Khullar, Pratap Chokka and Kevin Kjernisted and has published in prestigious journals such as Canadian Medical Association Journal, The Canadian Journal of Psychiatry and The International Journal of Neuropsychopharmacology.

In The Last Decade

Jeffrey Habert

10 papers receiving 150 citations

Author Peers

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

Author						Papers	Cites
Jeffrey Habert	104	65	42	39	29	13	154
P Morón	143 1.4×	56 0.9×	117 2.8×	43 1.1×	16 0.6×	20	223
Tom Denee	124 1.2×	42 0.6×	82 2.0×	68 1.7×	56 1.9×	21	262
Sanae Kishimoto	68 0.7×	74 1.1×	50 1.2×	23 0.6×	29 1.0×	14	274
Ileana Andriola	71 0.7×	36 0.6×	63 1.5×	50 1.3×	13 0.4×	14	220
Jared Linthicum	72 0.7×	30 0.5×	61 1.5×	23 0.6×	88 3.0×	11	240
André Elferink	69 0.7×	34 0.5×	80 1.9×	18 0.5×	21 0.7×	15	277
Vera De Carlo	115 1.1×	80 1.2×	71 1.7×	51 1.3×	28 1.0×	12	237
Rie Toyomoto	41 0.4×	62 1.0×	23 0.5×	14 0.4×	29 1.0×	19	134
Felipe Coelho Argôlo	36 0.3×	26 0.4×	43 1.0×	25 0.6×	18 0.6×	22	175
Lara Malvini	65 0.6×	32 0.5×	76 1.8×	15 0.4×	18 0.6×	17	207

Countries citing papers authored by Jeffrey Habert

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Habert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Habert

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