Zoran Tiganj
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 16
- Memory and Neural Mechanisms 9
- Neuroscience and Music Perception 3
- Memory Processes and Influences 2
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- Neuroscience and Neuropharmacology Research 6
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- Neural Networks and Applications 5
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- Blind Source Separation Techniques 2
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- Advanced Memory and Neural Computing 2
- Co-authors
- Marc W. HowardMichael E. HasselmoHoward EichenbaumKarthik H. ShankarChristopher J. MacDonaldQian DuMin Whan JungJieun Kim
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Neuroscience (2 papers)Science Advances (1 paper)
- Partner nations
- United StatesFranceCzechia
In The Last Decade
Zoran Tiganj
20 papers receiving 520 citations
Peers
Comparison fields: 5 of 44
- Cognitive Neuroscience 498
- Cellular and Molecular Neuroscience 238
- Behavioral Neuroscience 12
- Sensory Systems 16
- Neurology 20
Countries citing papers authored by Zoran Tiganj
This map shows the geographic impact of Zoran Tiganj'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 Zoran Tiganj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoran Tiganj more than expected).
Fields of papers citing papers by Zoran Tiganj
This network shows the impact of papers produced by Zoran Tiganj. 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 Zoran Tiganj. The network helps show where Zoran Tiganj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zoran Tiganj, 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 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 4 | |
| 5 | A computational model for simulating the future using a memory timeline | 2021 | 1 |
| 6 | 2020 | 53 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 34 | |
| 9 | 2018 | 32 | |
| 10 | 2018 | 2 | |
| 11 | Scale Invariant Value Computation for Reinforcement Learning in Continuous Time. | 2017 | 5 |
| 12 | 2017 | 9 | |
| 13 | 2016 | 109 | |
| 14 | Efficient neural computation in the Laplace domain | 2015 | 3 |
| 15 | 2014 | 124 | |
| 16 | 2014 | 5 | |
| 17 | 2014 | 33 | |
| 18 | 2013 | 1 | |
| 19 | 2012 | 10 | |
| 20 | 2011 | 10 |
About Zoran Tiganj
Zoran Tiganj is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 23 papers that have together received 533 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Neural Networks and Applications (5 papers), Neuroscience and Music Perception (3 papers), Blind Source Separation Techniques (2 papers), Memory Processes and Influences (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Cognitive Neuroscience (498 citations), Cellular and Molecular Neuroscience (238 citations) and Behavioral Neuroscience (12 citations). Zoran Tiganj has collaborated with scholars based in United States, France and Czechia. Frequent co-authors include Marc W. Howard, Michael E. Hasselmo, Howard Eichenbaum, Karthik H. Shankar, Christopher J. MacDonald, Qian Du, Min Whan Jung, Jieun Kim, Daniel J. Sheehan and Earl K. Miller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Science Advances.
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.