Phil Adams

3.9k total citations · 1 hit paper
26 papers, 1.8k citations indexed

About

Phil Adams is a scholar working on Experimental and Cognitive Psychology, Human-Computer Interaction and Pharmacology. According to data from OpenAlex, Phil Adams has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Experimental and Cognitive Psychology, 7 papers in Human-Computer Interaction and 6 papers in Pharmacology. Recurrent topics in Phil Adams's work include Innovative Human-Technology Interaction (7 papers), Functional Brain Connectivity Studies (6 papers) and Digital Mental Health Interventions (6 papers). Phil Adams is often cited by papers focused on Innovative Human-Technology Interaction (7 papers), Functional Brain Connectivity Studies (6 papers) and Digital Mental Health Interventions (6 papers). Phil Adams collaborates with scholars based in United States, Singapore and United Kingdom. Phil Adams's co-authors include Geri Gay, Myrna M. Weissman, Patrick J. McGrath, Madhukar H. Trivedi, Melvin G. McInnis, Crystal Cooper, Maurizio Fava, Eric P. S. Baumer, Mary L. Phillips and Russell T. Shinohara and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Journal of Affective Disorders.

In The Last Decade

Phil Adams

26 papers receiving 1.7k citations

Hit Papers

Harmonization of cortical thickness measurements across s... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phil Adams United States 18 632 445 312 273 264 26 1.8k
Bumseok Jeong South Korea 24 676 1.1× 412 0.9× 291 0.9× 180 0.7× 31 0.1× 80 2.0k
Eliza Congdon United States 30 1.5k 2.4× 234 0.5× 766 2.5× 61 0.2× 105 0.4× 60 3.2k
Jeremy F. Huckins United States 19 1.1k 1.7× 433 1.0× 590 1.9× 167 0.6× 33 0.1× 29 2.5k
Kenji Matsumoto Japan 27 1.6k 2.5× 499 1.1× 306 1.0× 131 0.5× 18 0.1× 171 3.6k
Thomas Z. Ramsøy Denmark 22 1.5k 2.4× 163 0.4× 385 1.2× 328 1.2× 53 0.2× 52 2.5k
Peter Smittenaar United Kingdom 20 893 1.4× 207 0.5× 314 1.0× 83 0.3× 14 0.1× 26 1.8k
Robert C. Lorenz Germany 22 632 1.0× 83 0.2× 346 1.1× 194 0.7× 23 0.1× 56 1.5k
Jaap M. J. Murre Netherlands 33 1.8k 2.9× 68 0.2× 670 2.1× 248 0.9× 42 0.2× 123 3.6k
Takayuki Nozawa Japan 23 738 1.2× 145 0.3× 442 1.4× 67 0.2× 79 0.3× 99 1.6k
Matthew S. Cain United States 24 986 1.6× 190 0.4× 400 1.3× 234 0.9× 73 0.3× 64 1.9k

Countries citing papers authored by Phil Adams

Since Specialization
Citations

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

Fields of papers citing papers by Phil Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Adams

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

All Works

20 of 20 papers shown
1.
Trombello, Joseph M., Michael Killian, Bruce D. Grannemann, et al.. (2019). The Concise Health Risk Tracking-Self Report: Psychometrics within a placebo-controlled antidepressant trial among depressed outpatients. Journal of Psychopharmacology. 33(2). 185–193. 18 indexed citations
2.
Fonzo, Gregory A., Amit Etkin, Yu Zhang, et al.. (2019). Brain regulation of emotional conflict predicts antidepressant treatment response for depression. Nature Human Behaviour. 3(12). 1319–1331. 40 indexed citations
3.
Trombello, Joseph M., Diego A. Pizzagalli, Myrna M. Weissman, et al.. (2018). Characterizing anxiety subtypes and the relationship to behavioral phenotyping in major depression: Results from the EMBARC study. Journal of Psychiatric Research. 102. 207–215. 10 indexed citations
4.
Walker, Robrina, Thomas Carmody, Crystal Cooper, et al.. (2018). Anxiety and anhedonia in depression: Associations with neuroticism and cognitive control. Journal of Affective Disorders. 245. 1070–1078. 25 indexed citations
5.
Whitton, Alexis E., Christian A. Webb, Daniel G. Dillon, et al.. (2018). Pretreatment Rostral Anterior Cingulate Cortex Connectivity With Salience Network Predicts Depression Recovery: Findings From the EMBARC Randomized Clinical Trial. Biological Psychiatry. 85(10). 872–880. 46 indexed citations
6.
Pizzagalli, Diego A., Christian A. Webb, Daniel G. Dillon, et al.. (2018). Pretreatment Rostral Anterior Cingulate Cortex Theta Activity in Relation to Symptom Improvement in Depression. JAMA Psychiatry. 75(6). 547–547. 118 indexed citations
7.
Adams, Alexander T., Elizabeth L. Murnane, Phil Adams, et al.. (2018). Keppi. PubMed. 2018. 1–13. 31 indexed citations
8.
Yeh, Fang‐Cheng, Phil Adams, Madhukar H. Trivedi, et al.. (2017). A comparison of structural connectivity in anxious depression versus non-anxious depression. Journal of Psychiatric Research. 89. 38–47. 31 indexed citations
9.
Almeida, Jorge, Tsafrir Greenberg, Hanzhang Lu, et al.. (2017). Test-retest reliability of cerebral blood flow in healthy individuals using arterial spin labeling: Findings from the EMBARC study. Magnetic Resonance Imaging. 45. 26–33. 20 indexed citations
10.
Fortin, Jean‐Philippe, Nicholas Cullen, Yvette I. Sheline, et al.. (2017). Harmonization of cortical thickness measurements across scanners and sites. NeuroImage. 167. 104–120. 737 indexed citations breakdown →
11.
Brzozowski, Michael J., Phil Adams, & Ed H.. (2015). Google+ Communities as Plazas and Topic Boards. 10. 3779–3788. 4 indexed citations
12.
Adams, Phil, Mashfiqui Rabbi, Tauhidur Rahman, et al.. (2014). Towards Personal Stress Informatics: Comparing Minimally Invasive Techniques for Measuring Daily Stress in the Wild. 76 indexed citations
13.
Baumer, Eric P. S., Vera Khovanskaya, Phil Adams, et al.. (2013). Designing for Engaging Experiences in Mobile Social-Health Support Systems. IEEE Pervasive Computing. 12(3). 32–39. 5 indexed citations
14.
Khovanskaya, Vera, Phil Adams, & Stephen Voida. (2013). The Value of a Critical Approach to Personal Health Informatics. 1 indexed citations
15.
Baumer, Eric P. S., Phil Adams, Vera Khovanskaya, et al.. (2013). Limiting, leaving, and (re)lapsing. 3257–3266. 235 indexed citations
16.
Gay, Geri, et al.. (2011). Pilot Study of Aurora, a Social, Mobile-Phone-Based Emotion Sharing and Recording System. Journal of Diabetes Science and Technology. 5(2). 325–332. 33 indexed citations
17.
Pollak, John P., Phil Adams, & Geri Gay. (2011). PAM. 725–734. 111 indexed citations
18.
Adams, Phil. (2005). An Introduction to the European Securitization Markets. ˜The œjournal of structured finance. 11(3). 33–39. 6 indexed citations
19.
Adams, Phil, et al.. (2004). Veterans Speak Out: A Collection of Essays from the Documenting Courage Project. eYLS (Yale Law School). 2 indexed citations
20.
Miller, Lisa, Myrna M. Weissman, Merav Gur, & Phil Adams. (2001). Religiousness and substance use in children of opiate addicts. Journal of Substance Abuse. 13(3). 323–336. 17 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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