P. Chang

39.9k total citations
4 papers, 18 citations indexed

About

P. Chang is a scholar working on Computer Networks and Communications, Civil and Structural Engineering and Sociology and Political Science. According to data from OpenAlex, P. Chang has authored 4 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Civil and Structural Engineering and 1 paper in Sociology and Political Science. Recurrent topics in P. Chang's work include Regional Socio-Economic Development Trends (1 paper), Engineering Applied Research (1 paper) and Distributed and Parallel Computing Systems (1 paper). P. Chang is often cited by papers focused on Regional Socio-Economic Development Trends (1 paper), Engineering Applied Research (1 paper) and Distributed and Parallel Computing Systems (1 paper). P. Chang collaborates with scholars based in United States. P. Chang's co-authors include Robert J. Burkholder, R. J. Marhefka, John L. Volakis, Raymond T. Yeh, Tomáš Konečný, Rahul N. Doshi, S R Carlson, Han W. Tun and Ray Matthews and has published in prestigious journals such as Journal of Innovations in Cardiac Rhythm Management and Very Large Data Bases.

In The Last Decade

P. Chang

4 papers receiving 17 citations

Peers

P. Chang
J. Goff France
R. Lacasse Canada
S. O’Day United States
V. Vitale Italy
A. Ivanovs Switzerland
R. Valbuena Switzerland
N. M. Hartman United States
N. Lam Italy
M. Booke United States
D. Short United States
J. Goff France
P. Chang
Citations per year, relative to P. Chang P. Chang (= 1×) peers J. Goff

Countries citing papers authored by P. Chang

Since Specialization
Citations

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

Fields of papers citing papers by P. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of P. Chang. A scholar is included among the top collaborators of P. Chang 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 P. Chang. P. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Chang, P., et al.. (2023). Perceiving the Ukraine-Russia Conflict: Topic Modeling and Clustering on Twitter Data. 147–148. 5 indexed citations
2.
Carlson, S R, Han W. Tun, Ray Matthews, et al.. (2016). Incidence and Predictors of Pacemaker Implant Post Commercial Approval of the CoreValve System for TAVR. Journal of Innovations in Cardiac Rhythm Management. 7(8). 2452–2460. 2 indexed citations
3.
Burkholder, Robert J., et al.. (2007). Model-based near-field imaging of objects inside a room. 1469–1472. 9 indexed citations
4.
Yeh, Raymond T., et al.. (1978). Software and Data Base Engineering - Towards a Common Design Methodology.. Very Large Data Bases. 109–123. 2 indexed citations

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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