Uday B. Desai

164 total papers · 1.1k total citations
84 papers, 778 citations indexed

About

Uday B. Desai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Uday B. Desai has authored 84 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 20 papers in Electrical and Electronic Engineering and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Uday B. Desai's work include Infrared Target Detection Methodologies (11 papers), Cooperative Communication and Network Coding (11 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). Uday B. Desai is often cited by papers focused on Infrared Target Detection Methodologies (11 papers), Cooperative Communication and Network Coding (11 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). Uday B. Desai collaborates with scholars based in India, United States and United Kingdom. Uday B. Desai's co-authors include S. N. Merchant, Debajyoti Pal, R. D. Kirkpatrick, P. Rajalakshmi, Vikram M. Gadre, Mukesh A. Zaveri, Sunil Kumar Kopparapu, Mohammed Zafar Ali Khan, Lajos Hanzo and Doohwan Lee and has published in prestigious journals such as IEEE Access, Frontiers in Plant Science and IEEE Transactions on Wireless Communications.

In The Last Decade

Uday B. Desai

79 papers receiving 723 citations

Author Peers

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

Author						Papers	Cites
Uday B. Desai	201	196	158	130	127	84	778
Xing Wang	182 0.9×	108 0.6×	80 0.5×	84 0.6×	54 0.4×	75	763
Yigang He	282 1.4×	221 1.1×	89 0.6×	59 0.5×	356 2.8×	121	899
Shaoyuan Sun	69 0.3×	79 0.4×	328 2.1×	193 1.5×	222 1.7×	49	826
Hua Shao	286 1.4×	169 0.9×	156 1.0×	57 0.4×	35 0.3×	78	669
Xiaoyu Zhang	153 0.8×	161 0.8×	133 0.8×	18 0.1×	140 1.1×	76	694
Minh N. Dao	196 1.0×	106 0.5×	229 1.4×	220 1.7×	112 0.9×	60	895
Jitendra R. Raol	78 0.4×	56 0.3×	260 1.6×	287 2.2×	237 1.9×	59	875
Fei Xie	73 0.4×	44 0.2×	193 1.2×	44 0.3×	158 1.2×	86	761
Xiaodong Zhang	130 0.6×	124 0.6×	90 0.6×	71 0.5×	115 0.9×	57	813
Julius Τ. Tou	90 0.4×	89 0.5×	148 0.9×	33 0.3×	237 1.9×	74	757

Countries citing papers authored by Uday B. Desai

Since Specialization

Citations

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

Fields of papers citing papers by Uday B. Desai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uday B. Desai. 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 Uday B. Desai. The network helps show where Uday B. Desai may publish in the future.

Co-authorship network of co-authors of Uday B. Desai

This figure shows the co-authorship network connecting the top 25 collaborators of Uday B. Desai. A scholar is included among the top collaborators of Uday B. Desai 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 Uday B. Desai. Uday B. Desai 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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