Thalia Richter

832 total citations
17 papers, 486 citations indexed

About

Thalia Richter is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Reproductive Medicine. According to data from OpenAlex, Thalia Richter has authored 17 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Experimental and Cognitive Psychology, 5 papers in Social Psychology and 4 papers in Reproductive Medicine. Recurrent topics in Thalia Richter's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Mental Health Research Topics (5 papers) and Hypothalamic control of reproductive hormones (4 papers). Thalia Richter is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Mental Health Research Topics (5 papers) and Hypothalamic control of reproductive hormones (4 papers). Thalia Richter collaborates with scholars based in Israel, United Kingdom and United States. Thalia Richter's co-authors include Hadas Okon‐Singer, Stephen D. Roper, Alejandro Caicedo, Gal Richter‐Levin, Barak Fishbain, Neil P. Evans, Jane E. Robinson, J.M. Lozano, Nazanin Derakshan and Cecile D. Ladouceur and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and Endocrinology.

In The Last Decade

Thalia Richter

17 papers receiving 474 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thalia Richter Israel 10 131 120 89 89 73 17 486
Kathleen Stern United States 5 152 1.2× 35 0.3× 220 2.5× 100 1.1× 109 1.5× 8 645
Katrin T. Lübke Germany 13 122 0.9× 91 0.8× 262 2.9× 82 0.9× 155 2.1× 22 420
A. K. Dixon Switzerland 16 70 0.5× 57 0.5× 74 0.8× 16 0.2× 227 3.1× 22 717
Lenka Martinec Nováková Czechia 13 76 0.6× 57 0.5× 313 3.5× 166 1.9× 63 0.9× 31 458
Matthias Hoenen Germany 12 63 0.5× 102 0.8× 104 1.2× 33 0.4× 115 1.6× 16 272
Michael D. Havens United States 8 33 0.3× 140 1.2× 29 0.3× 28 0.3× 105 1.4× 10 464
Valerio Manippa Italy 12 103 0.8× 176 1.5× 55 0.6× 34 0.4× 66 0.9× 36 438
Peggy Schneider Germany 9 96 0.7× 93 0.8× 54 0.6× 26 0.3× 320 4.4× 12 606
Claudia F. Plappert Germany 15 22 0.2× 216 1.8× 79 0.9× 78 0.9× 146 2.0× 33 708
Edward Deaux United States 12 26 0.2× 248 2.1× 73 0.8× 55 0.6× 79 1.1× 25 707

Countries citing papers authored by Thalia Richter

Since Specialization
Citations

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

Fields of papers citing papers by Thalia Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thalia Richter

This figure shows the co-authorship network connecting the top 25 collaborators of Thalia Richter. A scholar is included among the top collaborators of Thalia Richter 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 Thalia Richter. Thalia Richter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Richter, Thalia, Nazanin Derakshan, Noga Cohen, et al.. (2025). Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms. npj Digital Medicine. 8(1). 65–65. 1 indexed citations
2.
Richter, Thalia, et al.. (2024). Disorder-specific versus transdiagnostic cognitive mechanisms in anxiety and depression: Machine-learning-based prediction of symptom severity. Journal of Affective Disorders. 354. 473–482. 4 indexed citations
3.
Richter, Thalia, et al.. (2022). How Social Experiences Affect Interpretation Bias Among Individuals With Non-clinical Depression: The Role of Ostracism. Frontiers in Psychiatry. 13. 819143–819143. 2 indexed citations
4.
Richter, Thalia, Barak Fishbain, Eyal Fruchter, Gal Richter‐Levin, & Hadas Okon‐Singer. (2021). Machine learning-based diagnosis support system for differentiating between clinical anxiety and depression disorders. Journal of Psychiatric Research. 141. 199–205. 37 indexed citations
5.
Richter, Thalia, Barak Fishbain, Gal Richter‐Levin, & Hadas Okon‐Singer. (2021). Machine Learning-Based Behavioral Diagnostic Tools for Depression: Advances, Challenges, and Future Directions. Journal of Personalized Medicine. 11(10). 957–957. 24 indexed citations
6.
Richter, Thalia, et al.. (2020). Using machine learning-based analysis for behavioral differentiation between anxiety and depression. Scientific Reports. 10(1). 16381–16381. 59 indexed citations
7.
Dolcos, Florin, Yuta Katsumi, Matthew Moore, et al.. (2019). Neural correlates of emotion-attention interactions: From perception, learning, and memory to social cognition, individual differences, and training interventions. Neuroscience & Biobehavioral Reviews. 108. 559–601. 138 indexed citations
8.
Richter, Thalia, et al.. (2019). Machine-learning-based optical performance monitoring using carrier phase recovery. 221 (4 pp.)–221 (4 pp.). 2 indexed citations
9.
Richter, Thalia, Jane E. Robinson, J.M. Lozano, & Neil P. Evans. (2005). Progesterone Can Block the Preovulatory Gonadotropin‐Releasing Hormone/Luteinising Hormone Surge in the Ewe by a Direct Inhibitory Action on Oestradiol‐Responsive Cells within the Hypothalamus. Journal of Neuroendocrinology. 17(3). 161–169. 34 indexed citations
10.
11.
Richter, Thalia, Alejandro Caicedo, & Stephen D. Roper. (2003). Sour Taste Stimuli Evoke Ca 2+ and pH Responses in Mouse Taste Cells. The Journal of Physiology. 547(2). 475–483. 96 indexed citations
12.
Richter, Thalia, B. Malpaux, Patricia A. Fleming, A. J. Molteno, & Nigel C. Bennett. (2003). Melatonin secretion in a strictly subterranean mammal, the Damaraland mole‐rat (Cryptomys damarensis). Journal of Zoology. 261(3). 313–319. 13 indexed citations
13.
Richter, Thalia, Jane E. Robinson, & Neil P. Evans. (2002). Progesterone Blocks the Estradiol-Stimulated Luteinizing Hormone Surge by Disrupting Activation in Response to a Stimulatory Estradiol Signal in the Ewe1. Biology of Reproduction. 67(1). 119–125. 37 indexed citations
14.
15.
Richter, Thalia, Jane E. Robinson, Sandra Dye, et al.. (2001). Role of Endogenous Opioid Peptides in Mediating Progesterone-Induced Disruption of the Activation and Transmission Stages of the GnRH Surge Induction Process. Endocrinology. 142(12). 5212–5219. 9 indexed citations
16.
Richter, Thalia. (1997). Does the southern African ice rat (Otomys sloggetti) show morphological adaptation to cold?. Journal of Zoology. 242(2). 384–387. 6 indexed citations
17.
Csaba, G & Thalia Richter. (1975). Collaboration of serotonin and melatonin in the control of thyroid function.. PubMed. 34(6). 1097–100. 2 indexed citations

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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