Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Иван Попчев'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 Иван Попчев with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Иван Попчев more than expected).
This network shows the impact of papers produced by Иван Попчев. 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 Иван Попчев. The network helps show where Иван Попчев may publish in the future.
Co-authorship network of co-authors of Иван Попчев
This figure shows the co-authorship network connecting the top 25 collaborators of Иван Попчев.
A scholar is included among the top collaborators of Иван Попчев 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 Иван Попчев. Иван Попчев is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Filev, Dimitar, Janusz Kacprzyk, Maciej Krawczak, et al.. (2014). Intelligent Systems'2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS'2014, September 2426, 2014, Warsaw, Poland. Springer eBooks.1 indexed citations
9.
Попчев, Иван, et al.. (2009). MODELS FOR FUZZY MULTICRITERIA DECISION MAKING BASED ON FUZZY RELATIONS.4 indexed citations
10.
Попчев, Иван, et al.. (2008). FUZZY CRITERIA IMPORTANCE DEPENDING ON MEMBERSHIP DEGREES OF FUZZY RELATIONS. 61(5). 579–584.6 indexed citations
11.
Попчев, Иван, et al.. (2008). New Upper Bounds for the CALE : A Singular Value Decomposition Approach. International Journal of Control Automation and Systems. 6(2). 288–294.5 indexed citations
12.
Попчев, Иван, et al.. (2008). FUZZY CRITERIA IMPORTANCE WITH WEIGHTING FUNCTIONS. 61(3). 293–300.7 indexed citations
13.
Попчев, Иван, et al.. (2007). Aggregation of fuzzy relations using weighting function. 60(10). 1047–1052.4 indexed citations
14.
Попчев, Иван, et al.. (2004). Transformations by parameterized t-norms preserving the properties of fuzzy relations. Comptes Rendus De L Academie Bulgare Des Sciences. 57(10). 10.1 indexed citations
Попчев, Иван, et al.. (2002). Sensitivity of Fuzzy Logic Operators. Comptes Rendus De L Academie Bulgare Des Sciences. 55(3). 45–50.3 indexed citations
17.
Попчев, Иван, et al.. (2001). On the Stability Problem for a Class of Uncertain Matrices. Comptes Rendus De L Academie Bulgare Des Sciences. 54. 5.4 indexed citations
18.
Попчев, Иван, et al.. (2001). Aggregation of Fuzzy Relations in Multicriteria Decision Making. Comptes Rendus De L Academie Bulgare Des Sciences. 54. 4.3 indexed citations
19.
Попчев, Иван, et al.. (1990). A truth maintenance theory: an alternative approach. European Conference on Artificial Intelligence. 509–514.4 indexed citations
20.
Попчев, Иван, et al.. (1988). A Formal Treatment of Non-Monotonic Reasoning.. 37–42.1 indexed citations
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.