Andrey G. Bronevich

404 citations
36 papers · 220 indexed · h-index 9

Andrey G. Bronevich

33 papers receiving 206 citations

Peers

Andrey G. Bronevich
Comparison fields: 5 of 35
  • Management Science and Operations Research 145
  • Statistics and Probability 38
  • Computational Theory and Mathematics 73
  • Artificial Intelligence 128
  • General Decision Sciences 6
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Countries citing papers authored by Andrey G. Bronevich

Since Specialization
Citations

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

Fields of papers citing papers by Andrey G. Bronevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrey G. Bronevich. 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 Andrey G. Bronevich. The network helps show where Andrey G. Bronevich may publish in the future.

Co-authorship network

The 6 scholars most cited alongside Andrey G. Bronevich, 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 Andrey G. Bronevich Line = papers co-authored together Andrey G. Bronevich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 20217
4 20171
5 201713
6 20158
7 201421
8
The description of extreme 2-monotone measures.
20132
9 201311
10
The description of least favorable pairs in Huber-Strassen theory, finite case
20121
11 200935
12
Approximation of coherent lower probabilities by 2-monotone measures
200911
13 20082
14
Measuring Uncertainty with Imprecision Indices
20077
15 20072
16 20068
17 20062
18
On Eventwise Aggregation of Coherent Lower Probabilities.
20051
19 20050
20 20043

About Andrey G. Bronevich

Andrey G. Bronevich is a scholar working on Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics, Artificial Intelligence and General Decision Sciences, having authored 36 papers that have together received 220 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (25 papers), Bayesian Modeling and Causal Inference (19 papers), Rough Sets and Fuzzy Logic (14 papers), Fuzzy Systems and Optimization (9 papers), Statistical Mechanics and Entropy (2 papers), Fuzzy Logic and Control Systems (2 papers), Forecasting Techniques and Applications (2 papers) and Risk and Portfolio Optimization (2 papers). The work is most often cited by research in Management Science and Operations Research (145 citations), Statistics and Probability (38 citations), Computational Theory and Mathematics (73 citations), Artificial Intelligence (128 citations) and General Decision Sciences (6 citations). Andrey G. Bronevich has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Igor Rozenberg, George J. Klir, Thomas Augustin, W E Meyer, Radko Mesiar and José Valente de Oliveira. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of General Systems, International Journal of Approximate Reasoning, Natural Computing and Journal of Parallel and Distributed Computing.

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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