Matthew A J Apps
- General Decision Sciences top 1%
- Decision-Making and Behavioral Economics 7
- Cognitive Neuroscience top 0.5%
- Neural and Behavioral Psychology Studies 28
- Psychology of Moral and Emotional Judgment 14
- Neural dynamics and brain function 10
- Functional Brain Connectivity Studies 8
- Face Recognition and Perception 6
- Applied Psychology top 2%
- Behavioral Health and Interventions 6
- Social Psychology top 1%
- Action Observation and Synchronization 10
- Co-authors
- Masud HusainManos TsakirisPatricia LockwoodSteve W. C. ChangMatthew F. S. RushworthNarender RamnaniCampbell Le HeronTanja Müller
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (4 papers)Neuron (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Matthew A J Apps
56 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- General Decision Sciences 264
- Cognitive Neuroscience 2.4k
- Applied Psychology 330
- Experimental and Cognitive Psychology 722
- Social Psychology 1.1k
Countries citing papers authored by Matthew A J Apps
This map shows the geographic impact of Matthew A J Apps'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 Matthew A J Apps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A J Apps more than expected).
Fields of papers citing papers by Matthew A J Apps
This network shows the impact of papers produced by Matthew A J Apps. 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 Matthew A J Apps. The network helps show where Matthew A J Apps may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew A J Apps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 8 | |
| 15 | Resilience during uncertainty? Greater social connectedness during COVID‐19 lockdown is associated with reduced distress and fatiguebreakdown → | 2020 | 235 |
| 16 | 2020 | 31 | |
| 17 | 2018 | 63 | |
| 18 | 2017 | 124 | |
| 19 | 2017 | 153 | |
| 20 | 2017 | 259 |
About Matthew A J Apps
Matthew A J Apps is a scholar working on General Decision Sciences, Cognitive Neuroscience and Applied Psychology, having authored 61 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (28 papers), Psychology of Moral and Emotional Judgment (14 papers), Action Observation and Synchronization (10 papers), Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (8 papers), Decision-Making and Behavioral Economics (7 papers), Behavioral Health and Interventions (6 papers) and Face Recognition and Perception (6 papers). The work is most often cited by research in General Decision Sciences (264 citations), Cognitive Neuroscience (2.4k citations) and Applied Psychology (330 citations). Matthew A J Apps has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Masud Husain, Manos Tsakiris, Patricia Lockwood, Steve W. C. Chang, Matthew F. S. Rushworth, Narender Ramnani, Campbell Le Heron, Tanja Müller, Trevor T.‐J. Chong and Joshua H. Balsters. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.