Mark J. Wierman

120 total papers · 2.2k total citations
45 papers, 1.5k citations indexed

About

Mark J. Wierman is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Mark J. Wierman has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 17 papers in Artificial Intelligence and 12 papers in Computational Theory and Mathematics. Recurrent topics in Mark J. Wierman's work include Multi-Criteria Decision Making (18 papers), Rough Sets and Fuzzy Logic (11 papers) and Fuzzy Logic and Control Systems (5 papers). Mark J. Wierman is often cited by papers focused on Multi-Criteria Decision Making (18 papers), Rough Sets and Fuzzy Logic (11 papers) and Fuzzy Logic and Control Systems (5 papers). Mark J. Wierman collaborates with scholars based in United States and China. Mark J. Wierman's co-authors include George J. Klir, William J. Tastle, Janusz Kacprzyk, Jiye Liang, Zhicai Shi, Deyu Li, Uldarico Rex Dumdum, Terry D. Clark, John N. Mordeson and Jennifer Larson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Fuzzy Sets and Systems.

In The Last Decade

Mark J. Wierman

39 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Mark J. Wierman 569 523 490 211 137 45 1.5k
Jonathan Lawry 873 1.5× 699 1.3× 611 1.2× 132 0.6× 119 0.9× 113 1.6k
Liguo Fei 572 1.0× 885 1.7× 305 0.6× 111 0.5× 190 1.4× 55 1.6k
Xiuwu Liao 409 0.7× 833 1.6× 373 0.8× 231 1.1× 37 0.3× 57 1.6k
Xinyang Deng 448 0.8× 678 1.3× 179 0.4× 131 0.6× 170 1.2× 20 1.8k
Jun Ma 479 0.8× 584 1.1× 274 0.6× 244 1.2× 34 0.2× 83 1.6k
Xiaoyan Su 469 0.8× 556 1.1× 266 0.5× 101 0.5× 362 2.6× 64 1.3k
Mi Zhou 444 0.8× 626 1.2× 193 0.4× 90 0.4× 65 0.5× 63 1.2k
Jianjun Zhu 351 0.6× 708 1.4× 170 0.3× 122 0.6× 57 0.4× 100 1.4k
Marc Pirlot 445 0.8× 746 1.4× 438 0.9× 64 0.3× 43 0.3× 98 1.7k
Yinghua Shen 456 0.8× 621 1.2× 207 0.4× 103 0.5× 25 0.2× 77 1.5k

Countries citing papers authored by Mark J. Wierman

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Wierman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Wierman

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