Walter Kaiser

60 papers receiving 902 citations

Peers

Walter Kaiser
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 385
  • Endocrine and Autonomic Systems 113
  • Ecology, Evolution, Behavior and Systematics 330
  • Genetics 293
  • Insect Science 120
Replace Yun Feng Zhang with:
Yun Feng Zhang China
Stephen M. Rogers United Kingdom
Michael S. Grace United States
Dimitrios Lambrinos Switzerland
S. R. Shaw United Kingdom
Michael Mangan United Kingdom
Rachel Templin Australia
Shin‐Ichi Terashima Japan
Norbert Boeddeker Germany
Anna Honkanen Finland
Walter Kaiser relative to Yun Feng Zhang China Yun Feng Zhang's profile →
Citations per field
00.5×8.6×
Yun Feng Zhang · 1×
Citations per year

Countries citing papers authored by Walter Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Walter Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983158
2 1988107
3 197482
4 198161
5 199955
6 198241
7 197034
8 197433
9 196330
10 197730
11 200229
12 200027
13 199826
14 196823
15 200018
16 201415
17 199114
18 199813
19 201210
20 20068

About Walter Kaiser

Walter Kaiser is a scholar working on Electrical and Electronic Engineering, Genetics, Control and Systems Engineering, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 958 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (11 papers), Plasma Diagnostics and Applications (10 papers), Plant and animal studies (8 papers), Neurobiology and Insect Physiology Research (8 papers), Advanced DC-DC Converters (8 papers), GaN-based semiconductor devices and materials (5 papers), Advanced Battery Technologies Research (4 papers) and Multilevel Inverters and Converters (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (385 citations), Endocrine and Autonomic Systems (113 citations), Ecology, Evolution, Behavior and Systematics (330 citations), Genetics (293 citations) and Insect Science (120 citations). Walter Kaiser has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Lourenço Matakas, Lewis G. Bishop, Ricardo Paulino Marques, Robert D. DeVoe, Leland S. Stone, Kristofer S. J. Pister, Joachim Misselwitz, Ulrich John, Hans‐Joachim Mentzel and Fábio Lima. Their work appears in journals such as IEEE Transactions on Industry Applications, Journal of Comparative Physiology A, Berichte zur Wissenschaftsgeschichte, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and IEEE Transactions on Power Delivery.

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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