Ida Momennejad

2.2k total citations
20 papers, 924 citations indexed

About

Ida Momennejad is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Ida Momennejad has authored 20 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 4 papers in Sociology and Political Science. Recurrent topics in Ida Momennejad's work include Neural and Behavioral Psychology Studies (8 papers), Neural dynamics and brain function (6 papers) and Memory and Neural Mechanisms (5 papers). Ida Momennejad is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Neural dynamics and brain function (6 papers) and Memory and Neural Mechanisms (5 papers). Ida Momennejad collaborates with scholars based in United States, United Kingdom and Germany. Ida Momennejad's co-authors include Nathaniel D. Daw, John­–Dylan Haynes, Samuel J. Gershman, Matthew Botvinick, Evan M. Russek, Jin Hyun Cheong, Alin Coman, Kenneth A. Norman, Andra Geana and A. Ross Otto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Ida Momennejad

18 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ida Momennejad United States 12 666 170 151 121 95 20 924
Jan Drugowitsch United States 21 1.4k 2.1× 218 1.3× 229 1.5× 234 1.9× 99 1.0× 55 1.9k
Marcelo G. Mattar United States 16 952 1.4× 227 1.3× 99 0.7× 169 1.4× 76 0.8× 29 1.1k
Mehdi Keramati United Kingdom 12 598 0.9× 189 1.1× 107 0.7× 162 1.3× 76 0.8× 19 874
Amir Dezfouli Australia 14 778 1.2× 215 1.3× 143 0.9× 329 2.7× 151 1.6× 23 1.2k
Anne E Urai Netherlands 17 919 1.4× 127 0.7× 47 0.3× 164 1.4× 89 0.9× 27 1.2k
Wako Yoshida Japan 12 822 1.2× 165 1.0× 110 0.7× 85 0.7× 192 2.0× 22 1.2k
Marco Mirolli Italy 19 585 0.9× 207 1.2× 402 2.7× 131 1.1× 263 2.8× 56 1.4k
Florent Meyniel France 20 1.2k 1.8× 243 1.4× 136 0.9× 88 0.7× 127 1.3× 32 1.5k
Mona M. Garvert Germany 9 558 0.8× 100 0.6× 73 0.5× 102 0.8× 79 0.8× 17 674
Alireza Soltani United States 19 1.3k 1.9× 155 0.9× 105 0.7× 217 1.8× 109 1.1× 44 1.6k

Countries citing papers authored by Ida Momennejad

Since Specialization
Citations

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

Fields of papers citing papers by Ida Momennejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Momennejad

This figure shows the co-authorship network connecting the top 25 collaborators of Ida Momennejad. A scholar is included among the top collaborators of Ida Momennejad 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 Ida Momennejad. Ida Momennejad 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.
Webb, Taylor W., Shanka Subhra Mondal, & Ida Momennejad. (2025). A brain-inspired agentic architecture to improve planning with LLMs. Nature Communications. 16(1). 8633–8633.
2.
Morton, Neal W, et al.. (2022). Representations of Temporal Community Structure in Hippocampus and Precuneus Predict Inductive Reasoning Decisions. Journal of Cognitive Neuroscience. 34(10). 1736–1760. 15 indexed citations
3.
Milani, Stephanie, et al.. (2022). How Humans Perceive Human-like Behavior in Video Game Navigation. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–11. 3 indexed citations
4.
Juliani, Arthur, et al.. (2022). Neuro-Nav: A Library for Neurally-Plausible Reinforcement Learning. 2 indexed citations
5.
Momennejad, Ida. (2022). A rubric for human-like agents and NeuroAI. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1869). 20210446–20210446. 9 indexed citations
6.
Vlasceanu, Madalina, Miroslav Dudı́k, & Ida Momennejad. (2022). Interdisciplinarity, Gender Diversity, and Network Structure Predict the Centrality of AI Organizations. 122. 1–10.
7.
Momennejad, Ida, et al.. (2021). The Learning Salon: Toward a new participatory science. Neuron. 109(19). 3036–3040. 1 indexed citations
8.
Momennejad, Ida. (2021). Collective minds: social network topology shapes collective cognition. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1843). 20200315–20200315. 44 indexed citations
9.
Momennejad, Ida, Jarrod A. Lewis‐Peacock, Kenneth A. Norman, et al.. (2020). Rational use of episodic and working memory: A normative account of prospective memory. Neuropsychologia. 158. 107657–107657. 5 indexed citations
10.
Momennejad, Ida. (2020). Learning Structures: Predictive Representations, Replay, and Generalization. Current Opinion in Behavioral Sciences. 32. 155–166. 84 indexed citations
11.
Zorowitz, Samuel, Ida Momennejad, & Nathaniel D. Daw. (2020). Anxiety, Avoidance, and Sequential Evaluation. SHILAP Revista de lepidopterología. 4(0). 1–1. 38 indexed citations
12.
Momennejad, Ida, et al.. (2019). Bridge ties bind collective memories. Nature Communications. 10(1). 1578–1578. 29 indexed citations
13.
Momennejad, Ida, A. Ross Otto, Nathaniel D. Daw, & Kenneth A. Norman. (2018). Offline replay supports planning in human reinforcement learning. eLife. 7. 73 indexed citations
14.
Momennejad, Ida, Evan M. Russek, Jin Hyun Cheong, et al.. (2017). The successor representation in human reinforcement learning. Nature Human Behaviour. 1(9). 680–692. 190 indexed citations
15.
Russek, Evan M., Ida Momennejad, Matthew Botvinick, Samuel J. Gershman, & Nathaniel D. Daw. (2017). Predictive representations can link model-based reinforcement learning to model-free mechanisms. PLoS Computational Biology. 13(9). e1005768–e1005768. 163 indexed citations
16.
Coman, Alin, et al.. (2016). Mnemonic convergence in social networks: The emergent properties of cognition at a collective level. Proceedings of the National Academy of Sciences. 113(29). 8171–8176. 76 indexed citations
17.
Wisniewski, David, Carlo Reverberi, Ida Momennejad, Thorsten Kahnt, & John­–Dylan Haynes. (2015). The Role of the Parietal Cortex in the Representation of Task-Reward Associations. Journal of Neuroscience. 35(36). 12355–12365. 54 indexed citations
18.
Haynes, John­–Dylan, David Wisniewski, Kai Görgen, Ida Momennejad, & Carlo Reverberi. (2015). FMRI decoding of intentions: Compositionality, hierarchy and prospective memory. BOA (University of Milano-Bicocca). 1–3. 3 indexed citations
19.
Momennejad, Ida & John­–Dylan Haynes. (2013). Encoding of Prospective Tasks in the Human Prefrontal Cortex under Varying Task Loads. Journal of Neuroscience. 33(44). 17342–17349. 52 indexed citations
20.
Momennejad, Ida & John­–Dylan Haynes. (2012). Human anterior prefrontal cortex encodes the ‘what’ and ‘when’ of future intentions. NeuroImage. 61(1). 139–148. 83 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

Breakdown of academic impact, for papers by Jan Drugowitsch Breakdown of academic impact, for papers by Marcelo G. Mattar Breakdown of academic impact, for papers by Mehdi Keramati Breakdown of academic impact, for papers by Amir Dezfouli Breakdown of academic impact, for papers by Anne E Urai Breakdown of academic impact, for papers by Wako Yoshida Breakdown of academic impact, for papers by Marco Mirolli Breakdown of academic impact, for papers by Florent Meyniel Breakdown of academic impact, for papers by Mona M. Garvert Breakdown of academic impact, for papers by Alireza Soltani
Rankless by CCL
2026