Tim Kiessling

1.8k citations
17 papers · 628 · h-index 9

Impact in

Papers in

Tim Kiessling

16 papers receiving 606 citations

Peers

Tim Kiessling
Comparison fields: 5 of 65
  • Pollution 497
  • Industrial and Manufacturing Engineering 329
  • Ecological Modeling 32
  • Management, Monitoring, Policy and Law 54
  • Biomaterials 54
Replace Justine Ammendolia with:
Justine Ammendolia Canada
Paloma Eza Núñez Chile
Daniela Honorato‐Zimmer Chile
Catarina Serra-Gonçalves Australia
Xiaonan Zhao China
Mariia Fedoruk Germany
Lauren Roman Australia
Joana Mira Veiga United Kingdom
Camila Gallardo Chile
John S. Woods Norway
Tim Kiessling relative to Justine Ammendolia Canada Justine Ammendolia's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tim Kiessling

Since Specialization
Citations

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

Fields of papers citing papers by Tim Kiessling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2018122
2 2017109
3 202190
4 201688
5 201953
6 202346
7 202136
8 202030
9 202126
10 20237
11 20236
12 20225
13 20205
14 20243
15 20211
16 20211
17 20240

About Tim Kiessling

Tim Kiessling is a scholar working on Pollution, Industrial and Manufacturing Engineering, Ecology, Ecological Modeling and Oceanography, having authored 17 papers that have together received 628 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (13 papers), Recycling and Waste Management Techniques (7 papers), Species Distribution and Climate Change (3 papers), Municipal Solid Waste Management (3 papers), Marine Biology and Ecology Research (2 papers), Coral and Marine Ecosystems Studies (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and COVID-19 impact on air quality (1 paper). The work is most often cited by research in Pollution (497 citations), Industrial and Manufacturing Engineering (329 citations), Ecological Modeling (32 citations), Management, Monitoring, Policy and Law (54 citations) and Biomaterials (54 citations). Tim Kiessling has collaborated with scholars based in Chile, Germany and Uruguay. Frequent co-authors include Martín Thiel, Katrin Knickmeier, Dennis Brennecke, Katrin Kruse, Alice Nauendorf, Sonia Salas, Diamela De Veer, Nelson Vásquez, Erika Meerhoff and Valeria Hidalgo‐Ruz. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution, Frontiers in Environmental Science, Ocean & Coastal Management and Marine Pollution Bulletin.

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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