Karthik Soman

1.0k total citations
15 papers, 129 citations indexed

About

Karthik Soman is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Karthik Soman has authored 15 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Karthik Soman's work include Biomedical Text Mining and Ontologies (5 papers), Neural dynamics and brain function (4 papers) and Memory and Neural Mechanisms (4 papers). Karthik Soman is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Neural dynamics and brain function (4 papers) and Memory and Neural Mechanisms (4 papers). Karthik Soman collaborates with scholars based in United States, India and Russia. Karthik Soman's co-authors include V. Srinivasa Chakravarthy, Vignesh Muralidharan, Charlotte Nelson, Sergio E. Baranzini, Gabriel Cerono, Daniele Ravì, Michael M. Yartsev, Peter W. Rose, Angela Rizk‐Jackson and Brett Smith and has published in prestigious journals such as Nature Communications, Bioinformatics and European Journal of Neuroscience.

In The Last Decade

Karthik Soman

14 papers receiving 126 citations

Peers

Karthik Soman
Karthik Soman
Citations per year, relative to Karthik Soman Karthik Soman (= 1×) peers Shantanu Ghosh

Countries citing papers authored by Karthik Soman

Since Specialization
Citations

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

Fields of papers citing papers by Karthik Soman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karthik Soman

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

All Works

15 of 15 papers shown
1.
Soman, Karthik, et al.. (2025). A fusion based approach for uneven illumination correction in retinal images using Gaussian Filtering method. Procedia Computer Science. 260. 991–999.
2.
Namboori, P. K. Krishnan, et al.. (2024). A novel interferometry-based optical sensor to study the coagulation of human plasma. Optics & Laser Technology. 181. 111638–111638. 2 indexed citations
3.
Soman, Karthik, Peter W. Rose, John H. Morris, et al.. (2024). Biomedical knowledge graph-optimized prompt generation for large language models. Bioinformatics. 40(9). 30 indexed citations
4.
Soman, Karthik, Charlotte Nelson, Gabriel Cerono, et al.. (2023). Early detection of Parkinson’s disease through enriching the electronic health record using a biomedical knowledge graph. Frontiers in Medicine. 10. 1081087–1081087. 14 indexed citations
5.
Baranzini, Sergio E., Katy Börner, John P. Morris, et al.. (2022). A biomedical open knowledge network harnesses the power of AI to understand deep human biology. AI Magazine. 43(1). 46–58. 6 indexed citations
6.
Baranzini, Sergio E., Katy Börner, John P. Morris, et al.. (2022). A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology. AI Magazine. 43(1). 46–58. 6 indexed citations
7.
Soman, Karthik, Charlotte Nelson, Gabriel Cerono, & Sergio E. Baranzini. (2022). Time-aware Embeddings of Clinical Data using a Knowledge Graph. PubMed. 28. 97–108. 3 indexed citations
8.
Soman, Karthik, et al.. (2019). Modeling the Effect of Environmental Geometries on Grid Cell Representations. Frontiers in Neural Circuits. 12. 120–120. 2 indexed citations
9.
Soman, Karthik, et al.. (2019). A Model of Motion Processing in the Visual Cortex Using Neural Field With Asymmetric Hebbian Learning. Frontiers in Neuroscience. 13. 67–67. 5 indexed citations
10.
Soman, Karthik, Vignesh Muralidharan, & V. Srinivasa Chakravarthy. (2018). An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing. Frontiers in Computational Neuroscience. 12. 52–52. 8 indexed citations
11.
Soman, Karthik, V. Srinivasa Chakravarthy, & Michael M. Yartsev. (2018). A hierarchical anti-Hebbian network model for the formation of spatial cells in three-dimensional space. Nature Communications. 9(1). 4046–4046. 10 indexed citations
12.
Soman, Karthik, Vignesh Muralidharan, & V. Srinivasa Chakravarthy. (2018). A unified hierarchical oscillatory network model of head direction cells, spatially periodic cells, and place cells. European Journal of Neuroscience. 47(10). 1266–1281. 7 indexed citations
13.
Soman, Karthik, Vignesh Muralidharan, & V. Srinivasa Chakravarthy. (2017). A Model of Multisensory Integration and Its Influence on Hippocampal Spatial Cell Responses. IEEE Transactions on Cognitive and Developmental Systems. 10(3). 637–646. 5 indexed citations
15.
Soman, Karthik & Daniele Ravì. (2014). Detection of exudates in human fundus image with a comparative study on methods for the optic disk detection. 975. 1–5. 7 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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