Linas Mockus

906 citations
39 papers · 584 · h-index 13

Impact in

Papers in

Linas Mockus

38 papers receiving 558 citations

Peers

Linas Mockus
Comparison fields: 5 of 100
  • Industrial and Manufacturing Engineering 248
  • Control and Systems Engineering 322
  • Management Science and Operations Research 76
  • Statistics, Probability and Uncertainty 37
  • Pharmaceutical Science 25
Replace Mitsuo Yamashiro with:
Mitsuo Yamashiro Japan
Paul J. Sánchez United States
J. M. Wilson United Kingdom
Churlzu Lim United States
Yeou-Ren Shiue Taiwan
Robert G. Batson United States
Jianqiang Cheng United States
Xiong Wang China
Wilson L. Price Canada
Linas Mockus relative to Mitsuo Yamashiro Japan Mitsuo Yamashiro's profile →
Citations per field
00.5×8.9×
Mitsuo Yamashiro · 1×
Citations per year

Countries citing papers authored by Linas Mockus

Since Specialization
Citations

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

Fields of papers citing papers by Linas Mockus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Linas Mockus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linas Mockus Line = papers co-authored together Linas Mockus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199878
2 199771
3 199956
4 201253
5 201140
6 199739
7 201428
8
The Impact of Mobile Access on Motivation: Distance Education Student Perceptions
201125
9 199823
10 201117
11 199714
12 202013
13 201812
14 199611
15 19999
16 20199
17 20118
18 20237
19 19987
20 20226

About Linas Mockus

Linas Mockus is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 39 papers that have together received 584 indexed citations. Recurring topics across this work include Process Optimization and Integration (11 papers), Advanced Control Systems Optimization (9 papers), Scheduling and Optimization Algorithms (9 papers), Statistical Methods in Clinical Trials (6 papers), Advanced Statistical Process Monitoring (5 papers), Systems Engineering Methodologies and Applications (4 papers), Fault Detection and Control Systems (4 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (248 citations), Control and Systems Engineering (322 citations), Management Science and Operations Research (76 citations), Statistics, Probability and Uncertainty (37 citations) and Pharmaceutical Science (25 citations). Linas Mockus has collaborated with scholars based in United States, Malaysia and Australia. Frequent co-authors include Gintaras V. Reklaitis, Seza Orçun, José M. Laínez‐Aguirre, Ye Chen, Daniel DeLaurentis, Audris Mockus, William Eddy, Ali K. Raz, Prabir K. Basu and John J. Peterson. Their work appears in journals such as Computers & Chemical Engineering, Industrial & Engineering Chemistry Research, International Transactions in Operational Research, Journal of Pharmaceutical Sciences and AAPS PharmSciTech.

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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