Eva Hilland

1.2k total citations
17 papers, 417 citations indexed

About

Eva Hilland is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eva Hilland has authored 17 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eva Hilland's work include Functional Brain Connectivity Studies (10 papers), Mental Health Research Topics (6 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers). Eva Hilland is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Mental Health Research Topics (6 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers). Eva Hilland collaborates with scholars based in Norway, United Kingdom and United States. Eva Hilland's co-authors include Rune Jonassen, Nils Inge Landrø, Luigi A. Maglanoc, Tor Endestad, Torgeir Moberget, Richard B. Ivry, Stein Andersson, Catherine J. Harmer, Lars T. Westlye and Tobias Kaufmann and has published in prestigious journals such as Journal of Neuroscience, Biological Psychiatry and Schizophrenia Bulletin.

In The Last Decade

Eva Hilland

17 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Hilland Norway	13	253	147	73	62	57	17	417
Benjamin M. Rosenberg United States	9	285 1.1×	183 1.2×	88 1.2×	149 2.4×	53 0.9×	20	533
Luigi A. Maglanoc Norway	11	222 0.9×	154 1.0×	42 0.6×	34 0.5×	66 1.2×	13	423
Melissa D. Stockbridge United States	11	302 1.2×	173 1.2×	33 0.5×	98 1.6×	50 0.9×	50	520
Jean‐Baptiste Pochon United States	9	385 1.5×	180 1.2×	49 0.7×	58 0.9×	53 0.9×	17	585
Arielle S. Keller United States	10	357 1.4×	211 1.4×	32 0.4×	84 1.4×	39 0.7×	29	592
Kayle S. Sawyer United States	14	335 1.3×	116 0.8×	37 0.5×	38 0.6×	89 1.6×	27	620
Jana Zweerings Germany	16	314 1.2×	120 0.8×	25 0.3×	80 1.3×	51 0.9×	28	486
Robin Kämpe Sweden	12	187 0.7×	73 0.5×	71 1.0×	105 1.7×	33 0.6×	19	371
Zachary Yaple Singapore	13	385 1.5×	117 0.8×	50 0.7×	43 0.7×	55 1.0×	22	553
Brooke R. Staveland United States	5	252 1.0×	184 1.3×	36 0.5×	64 1.0×	37 0.6×	7	401

Countries citing papers authored by Eva Hilland

Since Specialization

Citations

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

Fields of papers citing papers by Eva Hilland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Hilland

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Kraft, Brage, et al.. (2025). Measuring attentional bias using the dot-probe task in young women: Psychometric properties and feasibility of response-based computations, dwell time, and the N2pc component. Journal of Behavior Therapy and Experimental Psychiatry. 88. 102036–102036. 1 indexed citations

Hilland, Eva, et al.. (2023). Paying attention to attentional bias: comparing EEG, fNIRS, eye-tracking and behavioral measures of attentional bias - a pilot study. International Journal of Psychophysiology. 188. 131–132. 1 indexed citations

Barth, Cláudia, Stener Nerland, Ann‐Marie G. de Lange, et al.. (2021). In Vivo Amygdala Nuclei Volumes in Schizophrenia and Bipolar Disorders. Schizophrenia Bulletin. 47(5). 1431–1441. 29 indexed citations

Jonassen, Rune, et al.. (2021). Over-the-counter analgesics use is associated with pain and psychological distress among adolescents: a mixed effects approach in cross-sectional survey data from Norway. BMC Public Health. 21(1). 2030–2030. 17 indexed citations

Hilland, Eva, Rune Jonassen, Dag Alnæs, et al.. (2021). Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. NeuroImage Clinical. 33. 102881–102881. 15 indexed citations

Bø, Ragnhild, Brage Kraft, Rune Jonassen, et al.. (2021). Symptom severity moderates the outcome of attention bias modification for depression: An exploratory study. Journal of Psychiatric Research. 138. 528–534. 9 indexed citations

Maglanoc, Luigi A., Tobias Kaufmann, Dennis van der Meer, et al.. (2019). Brain Connectome Mapping of Complex Human Traits and Their Polygenic Architecture Using Machine Learning. Biological Psychiatry. 87(8). 717–726. 23 indexed citations

Maglanoc, Luigi A., Tobias Kaufmann, Rune Jonassen, et al.. (2019). Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis. Human Brain Mapping. 41(1). 241–255. 41 indexed citations

Jonassen, Rune, Catherine J. Harmer, Eva Hilland, et al.. (2019). Effects of Attentional Bias Modification on residual symptoms in depression: a randomized controlled trial. BMC Psychiatry. 19(1). 141–141. 27 indexed citations

10.

Hilland, Eva, Nils Inge Landrø, Brage Kraft, et al.. (2019). Exploring the links between specific depression symptoms and brain structure: A network study. Psychiatry and Clinical Neurosciences. 74(3). 220–221. 25 indexed citations

11.

Hilland, Eva, et al.. (2019). Attentional bias modification is associated with fMRI response toward negative stimuli in individuals with residual depression: a randomized controlled trial. Journal of Psychiatry and Neuroscience. 45(1). 23–33. 28 indexed citations

12.

Maglanoc, Luigi A., Nils Inge Landrø, Rune Jonassen, et al.. (2018). Data-Driven Clustering Reveals a Link Between Symptoms and Functional Brain Connectivity in Depression. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(1). 16–26. 42 indexed citations

13.

Hilland, Eva, Nils Inge Landrø, Catherine J. Harmer, Luigi A. Maglanoc, & Rune Jonassen. (2018). Within-Network Connectivity in the Salience Network After Attention Bias Modification Training in Residual Depression: Report From a Preregistered Clinical Trial. Frontiers in Human Neuroscience. 12. 508–508. 18 indexed citations

14.

Endestad, Tor, Eva Hilland, Lasse Bang, et al.. (2016). Brain volumes and regional cortical thickness in young females with anorexia nervosa. BMC Psychiatry. 16(1). 404–404. 21 indexed citations

15.

Nilsen, André Sevenius, Eva Hilland, Trond Heir, et al.. (2016). Right temporal cortical hypertrophy in resilience to trauma: an MRI study. European journal of psychotraumatology. 7(1). 31314–31314. 18 indexed citations

16.

Moberget, Torgeir, Eva Hilland, Stein Andersson, et al.. (2015). Patients with focal cerebellar lesions show reduced auditory cortex activation during silent reading. Brain and Language. 161. 18–27. 5 indexed citations

17.

Moberget, Torgeir, Eva Hilland, Stein Andersson, Richard B. Ivry, & Tor Endestad. (2014). Generalized Role for the Cerebellum in Encoding Internal Models: Evidence from Semantic Processing. Journal of Neuroscience. 34(8). 2871–2878. 97 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.

Explore authors with similar magnitude of impact