Gregory J. Kacprzynski

46 total papers · 1.3k total citations
33 papers, 754 citations indexed

About

Gregory J. Kacprzynski is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Gregory J. Kacprzynski has authored 33 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 7 papers in Electrical and Electronic Engineering and 6 papers in Automotive Engineering. Recurrent topics in Gregory J. Kacprzynski's work include Fault Detection and Control Systems (20 papers), Machine Fault Diagnosis Techniques (7 papers) and Advanced Measurement and Detection Methods (7 papers). Gregory J. Kacprzynski is often cited by papers focused on Fault Detection and Control Systems (20 papers), Machine Fault Diagnosis Techniques (7 papers) and Advanced Measurement and Detection Methods (7 papers). Gregory J. Kacprzynski collaborates with scholars based in United States, Canada and Chile. Gregory J. Kacprzynski's co-authors include Michael Roemer, George Vachtsevanos, Kai Goebel, Andrew Hess, Marcos E. Orchard, Bhaskar Saha, Rolf F. Orsagh, Liang Tang, Carl S. Byington and Liang Tang and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, JOM and National Conference on Artificial Intelligence.

In The Last Decade

Gregory J. Kacprzynski

33 papers receiving 711 citations

Author Peers

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

Author						Papers	Cites
Gregory J. Kacprzynski	507	172	166	131	127	33	754
Mohamed-Salah Ouali	297 0.6×	129 0.8×	240 1.4×	83 0.6×	151 1.2×	37	716
Pierre Dersin	476 0.9×	70 0.4×	164 1.0×	91 0.7×	199 1.6×	48	819
Gang Niu	457 0.9×	65 0.4×	152 0.9×	133 1.0×	181 1.4×	46	840
Hong Pei	393 0.8×	93 0.5×	345 2.1×	122 0.9×	192 1.5×	40	829
Xiaolei Fang	297 0.6×	90 0.5×	234 1.4×	74 0.6×	115 0.9×	33	692
H.M. Hashemian	399 0.8×	119 0.7×	109 0.7×	94 0.7×	147 1.2×	44	869
Yizhen Peng	457 0.9×	58 0.3×	230 1.4×	135 1.0×	247 1.9×	26	629
Márcia L. Baptista	261 0.5×	53 0.3×	134 0.8×	74 0.6×	102 0.8×	37	736
Zhen Chen	215 0.4×	133 0.8×	324 2.0×	64 0.5×	100 0.8×	63	634
Tangfan Xiahou	246 0.5×	323 1.9×	377 2.3×	78 0.6×	97 0.8×	42	812

Countries citing papers authored by Gregory J. Kacprzynski

Since Specialization

Citations

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

Fields of papers citing papers by Gregory J. Kacprzynski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Kacprzynski. 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 Gregory J. Kacprzynski. The network helps show where Gregory J. Kacprzynski may publish in the future.

Co-authorship network of co-authors of Gregory J. Kacprzynski

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Kacprzynski. A scholar is included among the top collaborators of Gregory J. Kacprzynski 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 Gregory J. Kacprzynski. Gregory J. Kacprzynski 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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