Ka S. Lim

3.0k citations
74 papers · 2.2k · h-index 26

Impact in

Papers in

Ka S. Lim

73 papers receiving 2.1k citations

Peers

Ka S. Lim
Comparison fields: 5 of 106
  • Insect Science 756
  • Ecology, Evolution, Behavior and Systematics 925
  • Ecological Modeling 175
  • Genetics 672
  • Ecology 446
Replace J. R. Riley with:
J. R. Riley United Kingdom
Robert B. Srygley United States
Ralph V. Cartar Canada
Stacey A. Combes United States
Vincent Debat France
James H. Marden United States
Emma Despland Canada
Mark A. Willis United States
Andrew Reynolds United Kingdom
James D. Crall United States
Ka S. Lim relative to J. R. Riley United Kingdom J. R. Riley's profile →
Citations per field
00.5×1.5×2.4×
J. R. Riley · 1×
Citations per year

Countries citing papers authored by Ka S. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Ka S. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka S. Lim. 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 Ka S. Lim. The network helps show where Ka S. Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016253
2 2019143
3 2012127
4 2014101
5 201698
6 201879
7 201572
8 200472
9 201365
10 201863
11 200759
12 201557
13 201753
14 200848
15 201647
16 201646
17 200744
18 201543
19 201743
20 201337

About Ka S. Lim

Ka S. Lim is a scholar working on Electrical and Electronic Engineering, Ecology, Evolution, Behavior and Systematics, Genetics, Aerospace Engineering and Insect Science, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (19 papers), Plant and animal studies (18 papers), Microwave Engineering and Waveguides (11 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Soil Moisture and Remote Sensing (8 papers), 3D IC and TSV technologies (8 papers), Insect and Pesticide Research (7 papers) and Animal Behavior and Reproduction (6 papers). The work is most often cited by research in Insect Science (756 citations), Ecology, Evolution, Behavior and Systematics (925 citations), Ecological Modeling (175 citations), Genetics (672 citations) and Ecology (446 citations). Ka S. Lim has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Jason W. Chapman, Don R. Reynolds, Gao Hu, Andrew Reynolds, Suzanne J. Clark, Lars Chıttka, Juliet L. Osborne, Nir Horvitz, Nir Sapir and James C. Makinson. Their work appears in journals such as PLoS ONE, Electromagnetic waves, Journal of Electromagnetic Waves and Applications, Scientific Reports and Animal Behaviour.

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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