Peng Jia

22 total papers · 698 total citations
17 papers, 455 citations indexed

About

Peng Jia is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Peng Jia has authored 17 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 8 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Peng Jia's work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (9 papers) and Auction Theory and Applications (6 papers). Peng Jia is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (9 papers) and Auction Theory and Applications (6 papers). Peng Jia collaborates with scholars based in United States, Canada and China. Peng Jia's co-authors include Francesco Bullo, Noah E. Friedkin, Anahita Mirtabatabaei, Peter E. Caines, Long Wang and Ying Wang and has published in prestigious journals such as IEEE Transactions on Automatic Control, SIAM Review and SIAM Journal on Control and Optimization.

In The Last Decade

Peng Jia

17 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Peng Jia	377	117	85	71	57	17	455
Ercan Yildiz	350 0.9×	125 1.1×	136 1.6×	64 0.9×	17 0.3×	8	461
B. Kozma	397 1.1×	178 1.5×	27 0.3×	85 1.2×	16 0.3×	11	477
Pranav Dandekar	335 0.9×	180 1.5×	59 0.7×	62 0.9×	11 0.2×	8	485
András Lukács	351 0.9×	72 0.6×	17 0.2×	64 0.9×	13 0.2×	21	483
Hai-Feng Zhang	326 0.9×	87 0.7×	12 0.1×	47 0.7×	18 0.3×	17	498
Ali ParandehGheibi	207 0.5×	108 0.9×	94 1.1×	210 3.0×	5 0.1×	20	476
Emanuele Cozzo	370 1.0×	64 0.5×	14 0.2×	97 1.4×	6 0.1×	19	496
Abir De	170 0.5×	28 0.2×	21 0.2×	31 0.4×	17 0.3×	37	432
Travis Martin	329 0.9×	36 0.3×	25 0.3×	41 0.6×	6 0.1×	8	460
Davide Cellai	345 0.9×	55 0.5×	17 0.2×	63 0.9×	2 0.0×	15	431

Countries citing papers authored by Peng Jia

Since Specialization

Citations

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

Fields of papers citing papers by Peng Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Jia

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