Isha Gupta

699 total citations
31 papers, 522 citations indexed

About

Isha Gupta is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Isha Gupta has authored 31 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Isha Gupta's work include Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (9 papers) and Neural dynamics and brain function (8 papers). Isha Gupta is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (9 papers) and Neural dynamics and brain function (8 papers). Isha Gupta collaborates with scholars based in United Kingdom, India and United States. Isha Gupta's co-authors include Alexander Serb, Themis Prodromakis, Ali Khiat, Stefano Vassanelli, Anna Regoutz, Daniela Carta, Sheifali Gupta, Abderrahmane Khiat, Swati Singh and Daniel Chew and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Advanced Functional Materials.

In The Last Decade

Isha Gupta

29 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isha Gupta United Kingdom	12	311	208	108	85	56	31	522
Hojin Shin United States	16	246 0.8×	299 1.4×	66 0.6×	42 0.5×	74 1.3×	60	619
Zongya Zhao China	12	55 0.2×	68 0.3×	182 1.7×	33 0.4×	22 0.4×	50	619
David Gutiérrez Mexico	12	83 0.3×	54 0.3×	229 2.1×	15 0.2×	60 1.1×	49	502
Jiajia Li China	17	92 0.3×	263 1.3×	361 3.3×	34 0.4×	15 0.3×	43	671
Peter Ledochowitsch United States	15	612 2.0×	557 2.7×	386 3.6×	20 0.2×	72 1.3×	24	1.1k
Ian Williams United Kingdom	14	146 0.5×	266 1.3×	187 1.7×	44 0.5×	11 0.2×	39	764
Jaewook Kim South Korea	15	692 2.2×	242 1.2×	84 0.8×	21 0.2×	61 1.1×	45	877
Amir Eftekhar United Kingdom	12	195 0.6×	241 1.2×	279 2.6×	32 0.4×	9 0.2×	31	470
Marie Engelene J. Obien Japan	12	430 1.4×	832 4.0×	452 4.2×	25 0.3×	90 1.6×	27	1.1k

Countries citing papers authored by Isha Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Isha Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isha Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Isha Gupta. A scholar is included among the top collaborators of Isha Gupta 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 Isha Gupta. Isha Gupta 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

Gupta, Isha, et al.. (2023). Classification of Brain Tumours in MRI Images using a Convolutional NeuralNetwork. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20. e270323214998–e270323214998. 1 indexed citations

Gupta, Isha, et al.. (2023). Rendezvous-Based Data Collection Approaches in Wireless Sensor Network Using Mobile Sink. 278–283. 2 indexed citations

Gupta, Isha, et al.. (2022). A deep learning based approach to detect IDC in histopathology images. Multimedia Tools and Applications. 81(25). 36309–36330. 11 indexed citations

Gandhi, Sonia, et al.. (2022). Urinary metabolic modulation in human participants residing in Siachen: a 1H NMR metabolomics approach. Scientific Reports. 12(1). 9070–9070. 9 indexed citations

Baby, Santhosh M., Faisal K. Zaidi, David M. Sokal, et al.. (2022). Acute effects of insulin and insulin‐induced hypoglycaemia on carotid body chemoreceptor activity and cardiorespiratory responses in dogs. Experimental Physiology. 108(2). 280–295. 11 indexed citations

Brinkman, David J., Isha Gupta, P Matteucci, et al.. (2022). Splenic arterial neurovascular bundle stimulation in esophagectomy: A feasibility and safety prospective cohort study. Frontiers in Neuroscience. 16. 1088628–1088628. 4 indexed citations

Gupta, Isha, et al.. (2022). Architectures Based on Deep Learning for the Detection of Invasive Ductal Carcinoma. ECS Transactions. 107(1). 5469–5479. 3 indexed citations

Donegà, Matteo, Cathrine T. Fjordbakk, David M. Sokal, et al.. (2021). Human-relevant near-organ neuromodulation of the immune system via the splenic nerve. Proceedings of the National Academy of Sciences. 118(20). 34 indexed citations

Sokal, David M., Matteo Donegà, Romain A. Colas, et al.. (2021). Splenic Nerve Neuromodulation Reduces Inflammation and Promotes Resolution in Chronically Implanted Pigs. Frontiers in Immunology. 12. 649786–649786. 24 indexed citations

10.

Gupta, Sheifali, et al.. (2021). Detection of Alzheimer’s Disease Using Deep Convolutional Neural Network. International Journal of Image and Graphics. 22(3). 33 indexed citations

11.

Bhagwan, Shri, Isha Gupta, Raman Kumar Saini, & Devender Singh. (2021). Synthesis, characterization and photoluminescent studies of zinc complexes with heterocyclic ligands comprising N, O donor atoms. Optik. 251. 168303–168303. 2 indexed citations

12.

Gupta, Isha, Antonino M. Cassarà, Matteo Donegà, et al.. (2020). Quantification of clinically applicable stimulation parameters for precision near-organ neuromodulation of human splenic nerves. Communications Biology. 3(1). 577–577. 23 indexed citations

13.

Messaris, Ioannis, S. Nikolaidis, Alexander Serb, et al.. (2017). A TiO2 ReRAM parameter extraction method. 18. 1–4. 11 indexed citations

14.

Carta, Daniela, Adam P. Hitchcock, Peter Guttmann, et al.. (2016). Spatially resolved TiOx phases in switched RRAM devices using soft X-ray spectromicroscopy. Scientific Reports. 6(1). 21525–21525. 30 indexed citations

15.

Gupta, Isha, et al.. (2016). Real-time encoding and compression of neuronal spikes by metal-oxide memristors. Nature Communications. 7(1). 12805–12805. 140 indexed citations

16.

Gupta, Isha, Alexander Serb, Abderrahmane Khiat, & Themis Prodromakis. (2016). Practical operation considerations for memristive integrating sensors. ePrints Soton (University of Southampton). 102. 2322–2325. 1 indexed citations

17.

Gupta, Isha, Alexander Serb, Ali Khiat, & Themis Prodromakis. (2016). Improving Detection Accuracy of Memristor-Based Bio-Signal Sensing Platform. IEEE Transactions on Biomedical Circuits and Systems. 11(1). 203–211. 7 indexed citations

18.

Gupta, Isha, Alexander Serb, Abderrahmane Khiat, & Themis Prodromakis. (2016). Towards a memristor-based spike-sorting platform. 12. 408–411. 3 indexed citations

19.

Regoutz, Anna, Isha Gupta, Alexander Serb, et al.. (2015). Role and Optimization of the Active Oxide Layer in TiO₂‐Based RRAM. Advanced Functional Materials. 26(4). 507–513. 50 indexed citations

20.

Trapatseli, Maria, Daniela Carta, Anna Regoutz, et al.. (2015). Conductive Atomic Force Microscopy Investigation of Switching Thresholds in Titanium Dioxide Thin Films. The Journal of Physical Chemistry C. 119(21). 11958–11964. 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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