John M. Calandrino

15 total papers · 1.1k total citations
13 papers, 744 citations indexed

About

John M. Calandrino is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, John M. Calandrino has authored 13 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hardware and Architecture, 9 papers in Computer Networks and Communications and 1 paper in Computational Theory and Mathematics. Recurrent topics in John M. Calandrino's work include Real-Time Systems Scheduling (13 papers), Parallel Computing and Optimization Techniques (10 papers) and Embedded Systems Design Techniques (6 papers). John M. Calandrino is often cited by papers focused on Real-Time Systems Scheduling (13 papers), Parallel Computing and Optimization Techniques (10 papers) and Embedded Systems Design Techniques (6 papers). John M. Calandrino collaborates with scholars based in United States. John M. Calandrino's co-authors include James H. Anderson, UmaMaheswari C. Devi, Aaron Block, Hennadiy Leontyev, Björn B. Brandenburg, Tong Li, Scott Hahn and Jessica C. Young and has published in prestigious journals such as ACM SIGBED Review and Carolina Digital Repository (University of North Carolina at Chapel Hill).

In The Last Decade

John M. Calandrino

13 papers receiving 668 citations

Author Peers

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

Author						Papers	Cites
John M. Calandrino	710	450	64	55	23	13	744
Hennadiy Leontyev	769 1.1×	504 1.1×	134 2.1×	25 0.5×	19 0.8×	16	791
Donald Varvel	612 0.9×	497 1.1×	113 1.8×	29 0.5×	34 1.5×	7	739
C. Scheurich	643 0.9×	679 1.5×	39 0.6×	58 1.1×	64 2.8×	13	720
Nathann Cohen	510 0.7×	406 0.9×	260 4.1×	26 0.5×	48 2.1×	29	764
José Luis Gahete Díaz	581 0.8×	397 0.9×	208 3.3×	50 0.9×	22 1.0×	27	683
Gregory M. Papadopoulos	621 0.9×	577 1.3×	36 0.6×	55 1.0×	29 1.3×	14	668
Jennifer Whitehead	741 1.0×	431 1.0×	292 4.6×	13 0.2×	14 0.6×	11	794
Yau-Tsun Steven Li	650 0.9×	250 0.6×	117 1.8×	18 0.3×	41 1.8×	9	684
Z. Deng	632 0.9×	341 0.8×	186 2.9×	20 0.4×	46 2.0×	8	702
Martin Stigge	614 0.9×	289 0.6×	173 2.7×	13 0.2×	11 0.5×	17	633

Countries citing papers authored by John M. Calandrino

Since Specialization

Citations

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

Fields of papers citing papers by John M. Calandrino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Calandrino. 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 John M. Calandrino. The network helps show where John M. Calandrino may publish in the future.

Co-authorship network of co-authors of John M. Calandrino

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Calandrino. A scholar is included among the top collaborators of John M. Calandrino 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 John M. Calandrino. John M. Calandrino 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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