Daniel Hellström

83 papers receiving 2.5k citations

Peers

Daniel Hellström
Comparison fields: 5 of 152
  • Marketing 793
  • Industrial and Manufacturing Engineering 604
  • Building and Construction 491
  • Strategy and Management 478
  • Management Information Systems 281
Replace Lucila Maria de Souza Campos with:
Lucila Maria de Souza Campos Brazil
Massimo Gastaldi Italy
Edeltraud Guenther Germany
Saurabh Kumar Gupta India
Grigorios L. Kyriakopoulos Greece
Antônio Carlos de Francisco Brazil
Antonella Petrillo Italy
Ioannis E. Nikolaou Greece
Natalia Yakovleva United Kingdom
Akhilesh Barve India
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Hellström

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hellström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000239
2 2017190
3 2018162
4 2019159
5 2005145
6 2019144
7 2019115
8 2006111
9 199987
10 201074
11 201771
12 201166
13
Composition of Urine, Feaces, Greywater and Biowaste for Utilisation in the URWARE Model
200564
14 200657
15 199751
16 200751
17 201648
18 200847
19 200245
20 202042

About Daniel Hellström

Daniel Hellström is a scholar working on Marketing, Industrial and Manufacturing Engineering, Management Information Systems, Business and International Management and Organizational Behavior and Human Resource Management, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Wastewater Treatment and Reuse (13 papers), Consumer Retail Behavior Studies (11 papers), Customer Service Quality and Loyalty (9 papers), Quality and Supply Management (9 papers), Consumer Packaging Perceptions and Trends (9 papers), Outsourcing and Supply Chain Management (8 papers), Urban and Freight Transport Logistics (8 papers) and Sustainable Supply Chain Management (7 papers). The work is most often cited by research in Marketing (793 citations), Industrial and Manufacturing Engineering (604 citations), Building and Construction (491 citations), Strategy and Management (478 citations) and Management Information Systems (281 citations). Daniel Hellström has collaborated with scholars based in Sweden, United States and South Africa. Frequent co-authors include Klas Hjort, Yulia Vakulenko, Ulf Jeppsson, Erik Kärrman, Pejvak Oghazi, Poja Shams, Henrik Pålsson, John Olsson, Stefan Karlsson and Mazen A. R. Saghir. Their work appears in journals such as Water Science & Technology, International Journal of Physical Distribution & Logistics Management, Journal of Business Research, International Journal of Retail & Distribution Management and Packaging Technology and Science.

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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