Eduardo Krempser

44 total papers · 824 total citations
18 papers, 463 citations indexed

About

Eduardo Krempser is a scholar working on Computational Theory and Mathematics, Molecular Biology and Ecology. According to data from OpenAlex, Eduardo Krempser has authored 18 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Eduardo Krempser's work include Computational Drug Discovery Methods (4 papers), Zoonotic diseases and public health (3 papers) and Optimization and Mathematical Programming (2 papers). Eduardo Krempser is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Zoonotic diseases and public health (3 papers) and Optimization and Mathematical Programming (2 papers). Eduardo Krempser collaborates with scholars based in Brazil, Germany and Argentina. Eduardo Krempser's co-authors include Hélio J. C. Barbosa, Laurent E. Dardenne, Isabella Alvim Guedes, Maria A. Miteva, Olivier Spérandio, André M. S. Barreto, Mélaine A. Kuenemann, Afonso Celso de Castro Lemonge, Heder S. Bernardino and Ana L. M. Karl and has published in prestigious journals such as Journal of Molecular Biology, Scientific Reports and Scientific Data.

In The Last Decade

Eduardo Krempser

17 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Eduardo Krempser 233 137 64 47 45 18 463
Tim Andersen 110 0.5× 286 2.1× 90 1.4× 20 0.4× 39 0.9× 48 512
Stephanus Daniel Handoko 315 1.4× 202 1.5× 156 2.4× 14 0.3× 39 0.9× 18 537
Nasser Ghadiri 201 0.9× 264 1.9× 171 2.7× 17 0.4× 11 0.2× 30 512
Rongjing Hu 106 0.5× 160 1.2× 155 2.4× 11 0.2× 62 1.4× 33 548
Han Li 93 0.4× 292 2.1× 62 1.0× 69 1.5× 11 0.2× 39 543
Mohamed A. Khamis 127 0.5× 113 0.8× 94 1.5× 158 3.4× 22 0.5× 22 511
Nobuaki Yasuo 255 1.1× 228 1.7× 8 0.1× 18 0.4× 55 1.2× 32 451
Fahimeh Ghasemi 198 0.8× 174 1.3× 41 0.6× 14 0.3× 35 0.8× 21 453
P.J. Reddy 58 0.2× 35 0.3× 53 0.8× 57 1.2× 83 1.8× 28 446
Nereida Rodríguez-Fernández 173 0.7× 126 0.9× 50 0.8× 5 0.1× 18 0.4× 16 509

Countries citing papers authored by Eduardo Krempser

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Krempser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Krempser

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Krempser. A scholar is included among the top collaborators of Eduardo Krempser 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 Eduardo Krempser. Eduardo Krempser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026