M.A. Shanblatt

64 total papers · 633 total citations
42 papers, 406 citations indexed

About

M.A. Shanblatt is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, M.A. Shanblatt has authored 42 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hardware and Architecture, 17 papers in Electrical and Electronic Engineering and 13 papers in Artificial Intelligence. Recurrent topics in M.A. Shanblatt's work include Embedded Systems Design Techniques (14 papers), Neural Networks and Applications (11 papers) and VLSI and FPGA Design Techniques (7 papers). M.A. Shanblatt is often cited by papers focused on Embedded Systems Design Techniques (14 papers), Neural Networks and Applications (11 papers) and VLSI and FPGA Design Techniques (7 papers). M.A. Shanblatt collaborates with scholars based in United States, South Korea and Pakistan. M.A. Shanblatt's co-authors include Muhammad Akbar, Youngchul Kim, Young‐Chul Kim, P.D. Fisher, Punya Mishra, Erik D. Goodman, Matthew J. Koehler, Steven J. Pierce, Neeraj Buch and Daniel H. Baker and has published in prestigious journals such as Proceedings of the IEEE, Sensors and Actuators A Physical and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

M.A. Shanblatt

36 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
M.A. Shanblatt	217	147	98	88	60	42	406
Koldo Basterretxea	217 1.0×	120 0.8×	87 0.9×	35 0.4×	66 1.1×	39	438
Cajetan M. Akujuobi	58 0.3×	193 1.3×	182 1.9×	87 1.0×	39 0.7×	70	472
V.K. Agrawal	100 0.5×	155 1.1×	70 0.7×	219 2.5×	105 1.8×	42	448
Vladimir Vujičić	72 0.3×	309 2.1×	83 0.8×	132 1.5×	83 1.4×	51	408
George Coghill	116 0.5×	147 1.0×	49 0.5×	120 1.4×	20 0.3×	46	409
Louise H. Crockett	62 0.3×	225 1.5×	42 0.4×	131 1.5×	39 0.7×	46	441
Baxter F. Womack	81 0.4×	109 0.7×	180 1.8×	48 0.5×	42 0.7×	57	424
J.W. Gannett	81 0.4×	377 2.6×	62 0.6×	124 1.4×	28 0.5×	31	485
S. Bass	76 0.4×	136 0.9×	125 1.3×	54 0.6×	33 0.6×	32	481
Chuanpei Xu	158 0.7×	160 1.1×	53 0.5×	29 0.3×	75 1.3×	70	453

Countries citing papers authored by M.A. Shanblatt

Since Specialization

Citations

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

Fields of papers citing papers by M.A. Shanblatt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.A. Shanblatt

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