Aivars Celmiņš

703 citations
19 papers · 549 · h-index 6

Impact in

Papers in

Aivars Celmiņš

15 papers receiving 500 citations

Peers

Aivars Celmiņš
Comparison fields: 5 of 79
  • Statistics and Probability 324
  • Management Science and Operations Research 295
  • Artificial Intelligence 255
  • Control and Systems Engineering 84
  • Computer Networks and Communications 86
Replace Abdelkader Mokkadem with:
Abdelkader Mokkadem France
M. B. Nevel’son Germany
A. Kandel United States
W.E. Combs United States
Nilotpal Chakravarti India
Ming-Hu Ha China
Siegfried Weber Germany
László Gerencsér Hungary
R. M. Dudley United States
John G. Saw United States
Aivars Celmiņš relative to Abdelkader Mokkadem France Abdelkader Mokkadem's profile →
Citations per field
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Abdelkader Mokkadem · 1×
Citations per year

Countries citing papers authored by Aivars Celmiņš

Since Specialization
Citations

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

Fields of papers citing papers by Aivars Celmiņš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Aivars Celmiņš, 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 Aivars Celmiņš Line = papers co-authored together Aivars Celmiņš links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1987213
2 1998107
3 198788
4 200365
5 199135
6 19747
7 19986
8 19826
9 19845
10 19575
11
A Practical Approach to Nonlinear Fuzzy Regression.
19914
12 20022
13 19942
14 19811
15 19591
16 19721
17
Averaging Effects in Models of Three-Dimensional Two-Phase Flows.
19841
18 20200
19 20020

About Aivars Celmiņš

Aivars Celmiņš is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 19 papers that have together received 549 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (6 papers), Fuzzy Logic and Control Systems (6 papers), Fuzzy Systems and Optimization (5 papers), Rocket and propulsion systems research (3 papers), Scientific Measurement and Uncertainty Evaluation (3 papers), Neural Networks and Applications (2 papers), Fault Detection and Control Systems (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Statistics and Probability (324 citations), Management Science and Operations Research (295 citations), Artificial Intelligence (255 citations), Control and Systems Engineering (84 citations) and Computer Networks and Communications (86 citations). Aivars Celmiņš has collaborated with scholars based in United States and Brazil. Frequent co-authors include Sumit Ghosh, Robert J. Hammell and T. Warren Liao. Their work appears in journals such as Fuzzy Sets and Systems, AIAA Journal, Journal of Statistical Computation and Simulation, IEEE Transactions on Fuzzy Systems and Geophysics.

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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