Ivan Raikov

530 total citations
21 papers, 288 citations indexed

About

Ivan Raikov is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Ivan Raikov has authored 21 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Ivan Raikov's work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Advanced Memory and Neural Computing (4 papers). Ivan Raikov is often cited by papers focused on Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Advanced Memory and Neural Computing (4 papers). Ivan Raikov collaborates with scholars based in United States, Japan and Belgium. Ivan Raikov's co-authors include Kelly Burk, Marianne Bezaire, Ivan Soltesz, Robert J. Butera, Iván Soltész, Erik De Schutter, Jure Leskovec, Zhenrui Liao, Mario Negrello and Attila Losonczy and has published in prestigious journals such as Neuron, Nature Neuroscience and Trends in Cognitive Sciences.

In The Last Decade

Ivan Raikov

17 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan Raikov United States	6	223	174	42	36	35	21	288
Haroon Anwar United States	8	281 1.3×	140 0.8×	42 1.0×	22 0.6×	45 1.3×	14	379
Thomas Deneux France	12	372 1.7×	215 1.2×	31 0.7×	18 0.5×	40 1.1×	19	540
Chi Chung Alan Fung Hong Kong	8	314 1.4×	219 1.3×	42 1.0×	34 0.9×	39 1.1×	22	380
Guy Eyal Israel	6	371 1.7×	335 1.9×	64 1.5×	26 0.7×	102 2.9×	6	528
Yair Deitcher Israel	5	242 1.1×	210 1.2×	32 0.8×	16 0.4×	59 1.7×	5	325
Keisuke Ota Japan	9	273 1.2×	196 1.1×	33 0.8×	18 0.5×	47 1.3×	28	412
Sadra Sadeh United Kingdom	12	339 1.5×	267 1.5×	61 1.5×	18 0.5×	29 0.8×	20	398
Katie Ferguson Canada	11	301 1.3×	291 1.7×	23 0.5×	26 0.7×	80 2.3×	19	432
Alexander O. Komendantov United States	11	304 1.4×	313 1.8×	32 0.8×	52 1.4×	93 2.7×	17	454
Jacob Duijnhouwer Netherlands	7	217 1.0×	152 0.9×	17 0.4×	34 0.9×	42 1.2×	16	302

Countries citing papers authored by Ivan Raikov

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Raikov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Raikov

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

All Works

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20 of 20 papers shown

Raikov, Ivan, Seung‐Hyun Kim, Mattia Gazzola, et al.. (2025). LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition. Frontiers in Neurorobotics. 18. 1490267–1490267.

Breland, Jessica Y., Ivan Raikov, Katherine J. Hoggatt, et al.. (2024). Behavioral weight management use in the Veterans Health Administration: Sociodemographic and health correlates. Eating Behaviors. 53. 101864–101864.

Liao, Zhenrui, Satoshi Terada, Ivan Raikov, et al.. (2024). Inhibitory plasticity supports replay generalization in the hippocampus. Nature Neuroscience. 27(10). 1987–1998. 4 indexed citations

Gschwind, Tilo, Ayman Zeine, Ivan Raikov, et al.. (2023). Hidden behavioral fingerprints in epilepsy. Neuron. 111(9). 1440–1452.e5. 18 indexed citations

Breland, Jessica Y., Terri L. Fletcher, Shira Maguen, et al.. (2023). The EMBER trial for weight management engagement: A hybrid type 1 randomized controlled trial protocol. Contemporary Clinical Trials. 135. 107364–107364. 1 indexed citations

Blonigen, Daniel M., David Smelson, Jennifer S. Smith, et al.. (2022). Peer support and whole health coaching to address the healthcare needs of homeless veterans: a pilot study. BMC Primary Care. 23(1). 331–331. 3 indexed citations

Raikov, Ivan, et al.. (2021). Epistemic Autonomy: Self-supervised Learning in the Mammalian Hippocampus. Trends in Cognitive Sciences. 25(7). 582–595. 3 indexed citations

Raikov, Ivan, et al.. (2021). Entorhinal mismatch: A model of self-supervised learning in the hippocampus. iScience. 24(4). 102364–102364. 3 indexed citations

Lovett-Barron, Matthew, Ivan Raikov, Fraser T. Sparks, et al.. (2021). Maximally selective single-cell target for circuit control in epilepsy models. Neuron. 109(16). 2556–2572.e6. 37 indexed citations

10.

Hong, Sungho, Ivan Raikov, Thomas Close, et al.. (2017). Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. PLoS Computational Biology. 13(9). e1005754–e1005754. 30 indexed citations

11.

Soltész, Iván, et al.. (2016). Simulation results from a network model of the isolated hippocampal CA1 subfield in rat. OSF Preprints (OSF Preprints). 1 indexed citations

12.

Bezaire, Marianne, et al.. (2016). Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit. eLife. 5. 123 indexed citations

13.

Raikov, Ivan & Iván Soltész. (2015). A Master Plan for the Epilepsies? toward a General Theory of Seizure Dynamics. Epiliepsy currents. 15(3). 133–135. 1 indexed citations

14.

Raikov, Ivan & Erik De Schutter. (2012). The Layer-Oriented Approach to Declarative Languages for Biological Modeling. PLoS Computational Biology. 8(5). e1002521–e1002521. 5 indexed citations

15.

Close, Thomas, et al.. (2012). Exploring the functional implications of brain architecture and connectivity: a multi-simulator framework for biophysical neuronal models. BMC Neuroscience. 13(S1).

16.

Negrello, Mario, Ivan Raikov, & Erik De Schutter. (2011). Boundary representation of neural architecture and connectivity. BMC Neuroscience. 12(S1). 1 indexed citations

17.

Raikov, Ivan, Robert C. Cannon, Robert Clewley, et al.. (2011). NineML: the network interchange for ne uroscience modeling language. BMC Neuroscience. 12(S1). 24 indexed citations

18.

Raikov, Ivan & Erik De Schutter. (2009). The layer oriented approach to neuroscience modeling languages. BMC Neuroscience. 10(S1).

19.

Brown, E.A., et al.. (2005). Custom-made multiphoton microscope for long-term imaging of neuronal cultures to explore structural and functional plasticity. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5700. 102–102. 1 indexed citations

20.

Raikov, Ivan, et al.. (2003). MRCI: a flexible real-time dynamic clamp system for electrophysiology experiments. Journal of Neuroscience Methods. 132(2). 109–123. 32 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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