Tanya Garg

40 total papers · 780 total citations
12 papers, 94 citations indexed

About

Tanya Garg is a scholar working on Building and Construction, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Tanya Garg has authored 12 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Building and Construction, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Tanya Garg's work include Traffic Prediction and Management Techniques (3 papers), Network Security and Intrusion Detection (3 papers) and Advanced Malware Detection Techniques (2 papers). Tanya Garg is often cited by papers focused on Traffic Prediction and Management Techniques (3 papers), Network Security and Intrusion Detection (3 papers) and Advanced Malware Detection Techniques (2 papers). Tanya Garg collaborates with scholars based in India, United Arab Emirates and United Kingdom. Tanya Garg's co-authors include Surinder Singh Khurana, Yogesh Kumar, G. K. Rajanikant, Shashank Gupta, Mohammad S. Obaidat, Prashant Singh Rana, Xiaochun Cheng, Manish Kumar and Chandramohan Dhasarathan and has published in prestigious journals such as CNS & Neurological Disorders - Drug Targets, Cluster Computing and SN Computer Science.

In The Last Decade

Tanya Garg

10 papers receiving 89 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tanya Garg	44	33	23	23	12	12	94
Kui Wang	28 0.6×	23 0.7×	23 1.0×	30 1.3×	11 0.9×	18	92
Moses Kazeem Abiodun	79 1.8×	64 1.9×	41 1.8×	36 1.6×	4 0.3×	14	150
Congbo Ma	18 0.4×	102 3.1×	25 1.1×	15 0.7×	8 0.7×	10	200
Wouter Kool	26 0.6×	75 2.3×	9 0.4×	7 0.3×	7 0.6×	9	162
Alireza Rezaei Mahdiraji	35 0.8×	56 1.7×	22 1.0×	22 1.0×	3 0.3×	15	111
Chengtai Cao	29 0.7×	202 6.1×	25 1.1×	16 0.7×	10 0.8×	10	247
Zhitang Chen	37 0.8×	72 2.2×	7 0.3×	12 0.5×	3 0.3×	13	147
Michael Fenton	29 0.7×	105 3.2×	27 1.2×	12 0.5×	27 2.3×	15	193
Anam Fatima	45 1.0×	47 1.4×	23 1.0×	41 1.8×	13 1.1×	13	248
Yaguang Li	25 0.6×	23 0.7×	14 0.6×	69 3.0×	2 0.2×	16	140

Countries citing papers authored by Tanya Garg

Since Specialization

Citations

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

Fields of papers citing papers by Tanya Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya Garg

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

All Works

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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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