Eva Siegmann

754 citations
26 papers · 630 · h-index 12

Impact in

Papers in

Eva Siegmann

22 papers receiving 619 citations

Peers

Eva Siegmann
Comparison fields: 5 of 46
  • Computational Mechanics 467
  • Hardware and Architecture 61
  • Pharmaceutical Science 20
  • Ocean Engineering 23
  • Civil and Structural Engineering 27
Replace Shashank S. Tiwari with:
Shashank S. Tiwari India
Robertas Balevičius Lithuania
Ali Ashrafizadeh Iran
Martin Čermák Czechia
Zhihui Wang China
H. C. Boisson France
Zhongguo Zhou China
Chr. Boyadjiev Bulgaria
Chulin Yu China
Eva Siegmann relative to Shashank S. Tiwari India Shashank S. Tiwari's profile →
Citations per field
00.5×5×10×15.3×
Shashank S. Tiwari · 1×
Citations per year

Countries citing papers authored by Eva Siegmann

Since Specialization
Citations

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

Fields of papers citing papers by Eva Siegmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Siegmann, 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 Eva Siegmann Line = papers co-authored together Eva Siegmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013218
2 201876
3 201965
4 201643
5 201935
6 202134
7 201733
8 202124
9 201720
10 201617
11 202415
12 202112
13 202110
14 20239
15 20225
16 20245
17 20233
18 20222
19 20211
20 20231

About Eva Siegmann

Eva Siegmann is a scholar working on Hardware and Architecture, Computational Mechanics, Computer Networks and Communications, Computer Science Applications and Media Technology, having authored 26 papers that have together received 630 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Granular flow and fluidized beds (10 papers), Distributed and Parallel Computing Systems (3 papers), Information and Cyber Security (1 paper), Advanced Electrical Measurement Techniques (1 paper), Network Security and Intrusion Detection (1 paper), Teaching and Learning Programming (1 paper) and Engineering and Technology Innovations (1 paper). The work is most often cited by research in Computational Mechanics (467 citations), Hardware and Architecture (61 citations), Pharmaceutical Science (20 citations), Ocean Engineering (23 citations) and Civil and Structural Engineering (27 citations). Eva Siegmann has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Johannes Khinast, Charles A. Radeke, Dalibor Jajčević, Peter Toson, Pankaj Doshi, N. Govender, Robert J. Harrison, Daniel O. Blackwood, Benjamin J. Glasser and Mary T. am Ende. Their work appears in journals such as International Journal of Pharmaceutics, Chemical Engineering Science, Powder Technology, Advanced Powder Technology and Chemie Ingenieur Technik.

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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