Adit Goyal

530 total citations
11 papers, 301 citations indexed

About

Adit Goyal is a scholar working on Information Systems, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Adit Goyal has authored 11 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Adit Goyal's work include Blockchain Technology Applications and Security (4 papers), Antifungal resistance and susceptibility (2 papers) and Fungal Infections and Studies (2 papers). Adit Goyal is often cited by papers focused on Blockchain Technology Applications and Security (4 papers), Antifungal resistance and susceptibility (2 papers) and Fungal Infections and Studies (2 papers). Adit Goyal collaborates with scholars based in India, Singapore and United States. Adit Goyal's co-authors include Vinay Chamola, Vikas Hassija, Mohsen Guizani, Biplab Sikdar, Nishad Sahu, Tejasvi Alladi, Tilak Agerwala, Salil S. Kanhere, Nadra Guizani and Huỳnh Thị Thanh Bình and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Internet of Things Journal and IBM Journal of Research and Development.

In The Last Decade

Adit Goyal

11 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adit Goyal India	8	128	101	95	53	25	11	301
Ibrahim Tariq Javed Pakistan	10	186 1.5×	133 1.3×	88 0.9×	58 1.1×	28 1.1×	23	310
Enrique Moguel Spain	10	142 1.1×	116 1.1×	120 1.3×	33 0.6×	56 2.2×	29	359
Haoxiang Luo China	11	192 1.5×	190 1.9×	67 0.7×	90 1.7×	38 1.5×	29	348
Debin Liu China	12	122 1.0×	74 0.7×	127 1.3×	42 0.8×	44 1.8×	34	357
Vankamamidi S. Naresh India	12	124 1.0×	194 1.9×	161 1.7×	74 1.4×	34 1.4×	51	380
Yekta Türk Spain	11	110 0.9×	201 2.0×	95 1.0×	130 2.5×	17 0.7×	57	392
Maryam Shabbir Pakistan	6	84 0.7×	99 1.0×	81 0.9×	20 0.4×	36 1.4×	15	221
Abir El Azzaoui South Korea	10	139 1.1×	105 1.0×	97 1.0×	35 0.7×	21 0.8×	14	296
Christos Ilioudis Greece	13	191 1.5×	111 1.1×	89 0.9×	103 1.9×	21 0.8×	58	420
Lichuan Ma China	7	122 1.0×	140 1.4×	246 2.6×	73 1.4×	23 0.9×	15	407

Countries citing papers authored by Adit Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Adit Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adit Goyal

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

All Works

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11 of 11 papers shown

Goyal, Adit, Murari Mandal, Vikas Hassija, Moayad Aloqaily, & Vinay Chamola. (2023). Captionomaly: A Deep Learning Toolbox for Anomaly Captioning in Social Surveillance Systems. IEEE Transactions on Computational Social Systems. 11(1). 207–215. 6 indexed citations

Chamola, Vinay, Rasoul Mohammadi, Harish Nair, et al.. (2022). COVID-19-associated mucormycosis. Journal of Research in Medical Sciences. 27(1). 57–57. 7 indexed citations

Chamola, Vinay, et al.. (2022). Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management. Neural Computing and Applications. 35(31). 22959–22969. 41 indexed citations

Alladi, Tejasvi, et al.. (2022). A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks. IEEE Communications Surveys & Tutorials. 24(2). 1212–1239. 82 indexed citations

Goyal, Adit, et al.. (2022). A Blockchain and ML-Based Framework for Fast and Cost-Effective Health Insurance Industry Operations. IEEE Transactions on Computational Social Systems. 10(4). 1642–1653. 12 indexed citations

Sharma, Arvind, et al.. (2021). Reducing mortality in mucormycosis of the head and neck in diabetic patients: A CARE case series. European Annals of Otorhinolaryngology Head and Neck Diseases. 139(3). 146–152. 2 indexed citations

Goyal, Adit, Vikas Hassija, & Victor Hugo C. de Albuquerque. (2021). Revisiting Machine Learning Training Process for Enhanced Data Privacy. 247–251. 3 indexed citations

Goyal, Adit, et al.. (2021). A Blockchain and Machine Learning based Framework for Efficient Health Insurance Management. 511–515. 8 indexed citations

Chamola, Vinay, et al.. (2020). Disaster and Pandemic Management Using Machine Learning: A Survey. IEEE Internet of Things Journal. 8(21). 16047–16071. 80 indexed citations

10.

Hassija, Vikas, Vinay Chamola, Adit Goyal, Salil S. Kanhere, & Nadra Guizani. (2020). Forthcoming applications of quantum computing: peeking into the future. 1(2). 35–41. 36 indexed citations

11.

Goyal, Adit & Tilak Agerwala. (1984). Performance Analysis of Future Shared Storage Systems. IBM Journal of Research and Development. 28(1). 95–108. 24 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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