Sumit Maheshwari

57 total papers · 642 total citations
33 papers, 398 citations indexed

About

Sumit Maheshwari is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Sumit Maheshwari has authored 33 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 13 papers in Electrical and Electronic Engineering and 9 papers in Information Systems. Recurrent topics in Sumit Maheshwari's work include IoT and Edge/Fog Computing (13 papers), IPv6, Mobility, Handover, Networks, Security (7 papers) and Cloud Computing and Resource Management (7 papers). Sumit Maheshwari is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), IPv6, Mobility, Handover, Networks, Security (7 papers) and Cloud Computing and Resource Management (7 papers). Sumit Maheshwari collaborates with scholars based in India, United States and Netherlands. Sumit Maheshwari's co-authors include Dipankar Raychaudhuri, Ivan Seskar, Francesco Bronzino, Sudipta Mahapatra, Cheruvu Siva Kumar, Tingjun Chen, Zoran Kostić, Gil Zussman, Daniel C. Kilper and Thanasis Korakis and has published in prestigious journals such as IEEE Access, Wireless Networks and IEEE Transactions on Network and Service Management.

In The Last Decade

Sumit Maheshwari

28 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Sumit Maheshwari	285	207	89	56	35	33	398
Abdukodir Khakimov	244 0.9×	136 0.7×	109 1.2×	29 0.5×	39 1.1×	33	333
Kashif Munir	329 1.2×	130 0.6×	154 1.7×	65 1.2×	39 1.1×	24	373
Suchetana Chakraborty	308 1.1×	135 0.7×	156 1.8×	74 1.3×	52 1.5×	43	399
Vasileios Tsoutsouras	268 0.9×	134 0.6×	72 0.8×	68 1.2×	40 1.1×	27	431
Soochang Park	302 1.1×	179 0.9×	86 1.0×	86 1.5×	37 1.1×	20	431
Anselme Ndikumana	333 1.2×	150 0.7×	64 0.7×	51 0.9×	60 1.7×	23	415
Chengcheng Zhou	232 0.8×	112 0.5×	106 1.2×	45 0.8×	59 1.7×	30	408
Junhua Wu	291 1.0×	119 0.6×	182 2.0×	54 1.0×	67 1.9×	38	396
Zhenyun Zhuang	257 0.9×	220 1.1×	76 0.9×	109 1.9×	31 0.9×	30	429
Yves Lemieux	304 1.1×	174 0.8×	163 1.8×	22 0.4×	40 1.1×	29	445

Countries citing papers authored by Sumit Maheshwari

Since Specialization

Citations

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

Fields of papers citing papers by Sumit Maheshwari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Maheshwari

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