Zlatko Drmač

1.8k citations
41 papers · 1.1k · h-index 16

Impact in

Papers in

Zlatko Drmač

39 papers receiving 899 citations

Peers

Zlatko Drmač
Comparison fields: 5 of 103
  • Computational Mathematics 34
  • Numerical Analysis 254
  • Computational Theory and Mathematics 522
  • Signal Processing 112
  • Statistical and Nonlinear Physics 117
Replace Elizabeth R. Jessup with:
Elizabeth R. Jessup United States
Alexander Barvinok United States
Saugata Basu United States
Shin’ichi Oishi Japan
Sanzheng Qiao Canada
Barry Trager United States
Nikhil Srivastava United States
Francesco Romani Italy
Marko D. Petković Serbia
Yin Tat Lee United States
Zlatko Drmač relative to Elizabeth R. Jessup United States Elizabeth R. Jessup's profile →
Citations per field
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Elizabeth R. Jessup · 1×
Citations per year

Countries citing papers authored by Zlatko Drmač

Since Specialization
Citations

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

Fields of papers citing papers by Zlatko Drmač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Zlatko Drmač, 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 Zlatko Drmač Line = papers co-authored together Zlatko Drmač links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999416
2 1999133
3 200885
4 200854
5 199935
6 199732
7 200530
8 200029
9 199826
10 199825
11 199424
12 200320
13 200819
14 200419
15 199718
16 200916
17 200214
18 199613
19 199311
20 199711

About Zlatko Drmač

Zlatko Drmač is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (25 papers), Model Reduction and Neural Networks (11 papers), Numerical Methods and Algorithms (9 papers), Electromagnetic Scattering and Analysis (7 papers), Numerical methods for differential equations (7 papers), Advanced Optimization Algorithms Research (6 papers), Probabilistic and Robust Engineering Design (5 papers) and Nuclear Engineering Thermal-Hydraulics (3 papers). The work is most often cited by research in Computational Mathematics (34 citations), Numerical Analysis (254 citations), Computational Theory and Mathematics (522 citations), Signal Processing (112 citations) and Statistical and Nonlinear Physics (117 citations). Zlatko Drmač has collaborated with scholars based in Croatia, United States and Germany. Frequent co-authors include Elizabeth R. Jessup, Michael W. Berry, Krešimir Veselić, Vjeran Hari, Ming Gu, James Demmel, Stanley C. Eisenstat, Ivan Slapničar, Matjaž Omladič and Peter Arbenz. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, ACM Transactions on Mathematical Software, Linear Algebra and its Applications, SIAM Journal on Numerical Analysis and Scientific Reports.

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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