Daniel Wild

1.0k citations
37 papers · 839 · h-index 18

Impact in

Papers in

Daniel Wild

36 papers receiving 782 citations

Peers

Daniel Wild
Comparison fields: 5 of 88
  • Pollution 361
  • Industrial and Manufacturing Engineering 212
  • Process Chemistry and Technology 44
  • Water Science and Technology 115
  • Environmental Engineering 98
Replace Lisha Guo with:
Lisha Guo China
Patrice Chatellier France
Fusheng Li China
Óscar Pires Spain
Heng Xia China
Henk Vanhooren Belgium
Faramarz Bagherzadeh Poland
Magomed Muradov United Kingdom
Yifu Li United States
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Daniel Wild

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniel Wild, 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 Daniel Wild Line = papers co-authored together Daniel Wild links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994135
2 199883
3 201366
4 201057
5 199753
6 199543
7 199539
8 201027
9 201325
10
MLMA-A Collision-Free Multi-Access Method.
197724
11 202224
12 200923
13 199622
14 199521
15 201019
16 199618
17 199518
18 201317
19 199416
20 200515

About Daniel Wild

Daniel Wild is a scholar working on Pollution, Control and Systems Engineering, Industrial and Manufacturing Engineering, Computational Mechanics and Mechanical Engineering, having authored 37 papers that have together received 839 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (11 papers), Phosphorus and nutrient management (8 papers), Radiative Heat Transfer Studies (5 papers), Metallurgy and Material Forming (4 papers), Ammonia Synthesis and Nitrogen Reduction (4 papers), Advanced Control Systems Optimization (4 papers), Dynamics and Control of Mechanical Systems (3 papers) and Combustion and flame dynamics (3 papers). The work is most often cited by research in Pollution (361 citations), Industrial and Manufacturing Engineering (212 citations), Process Chemistry and Technology (44 citations), Water Science and Technology (115 citations) and Environmental Engineering (98 citations). Daniel Wild has collaborated with scholars based in Austria, Switzerland and Canada. Frequent co-authors include R. von Schulthess, Andreas Kugi, Willi Gujer, Andreas Steinboeck, Hansruedi Siegrist, Thomas Kiefer, Kai M. Udert, Peter Reichert, Dena W. McMartin and Thomas Meurer. Their work appears in journals such as Water Science & Technology, Journal of Process Control, Water Research, Journal of Digital Imaging and International Journal of Heat and Mass Transfer.

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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