Maitreya Natu

64 total papers · 532 total citations
40 papers, 339 citations indexed

About

Maitreya Natu is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Maitreya Natu has authored 40 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 12 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Maitreya Natu's work include Software System Performance and Reliability (25 papers), Network Security and Intrusion Detection (16 papers) and Cloud Computing and Resource Management (6 papers). Maitreya Natu is often cited by papers focused on Software System Performance and Reliability (25 papers), Network Security and Intrusion Detection (16 papers) and Cloud Computing and Resource Management (6 papers). Maitreya Natu collaborates with scholars based in United States, India and Taiwan. Maitreya Natu's co-authors include Adarshpal S. Sethi, Vasundhara Mahajan, Jelena Mirković, Harrick M. Vin, Girish Keshav Palshikar, Rajiv Ranjan, Prashant Shenoy, R. K. Ghosh, Errol L. Lloyd and Neminath Hubballi and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Cloud Computing and Telecommunication Systems.

In The Last Decade

Maitreya Natu

36 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Maitreya Natu	304	90	79	66	41	40	339
Ana Gainaru	287 0.9×	132 1.5×	64 0.8×	70 1.1×	26 0.6×	27	339
Mohammed Sayagh	200 0.7×	187 2.1×	117 1.5×	86 1.3×	59 1.4×	23	326
S. Kannan	175 0.6×	46 0.5×	95 1.2×	57 0.9×	42 1.0×	35	307
RJ Stroud	305 1.0×	131 1.5×	202 2.6×	28 0.4×	49 1.2×	29	403
S. Srbljic	213 0.7×	168 1.9×	52 0.7×	40 0.6×	43 1.0×	44	304
Weixing Ji	271 0.9×	59 0.7×	73 0.9×	58 0.9×	14 0.3×	62	397
Lincoln S. Rocha	153 0.5×	175 1.9×	84 1.1×	47 0.7×	68 1.7×	52	295
Paulo Romero Martins Maciel	209 0.7×	141 1.6×	27 0.3×	66 1.0×	46 1.1×	46	315
Yow-Jian Lin	241 0.8×	81 0.9×	118 1.5×	85 1.3×	28 0.7×	31	337
Hannes Payer	245 0.8×	80 0.9×	90 1.1×	57 0.9×	21 0.5×	34	400

Countries citing papers authored by Maitreya Natu

Since Specialization

Citations

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

Fields of papers citing papers by Maitreya Natu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maitreya Natu

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