Daniel Pakkala

677 citations
36 papers · 426 · h-index 10

Impact in

Papers in

Daniel Pakkala

34 papers receiving 400 citations

Peers

Daniel Pakkala
Comparison fields: 5 of 70
  • Management Information Systems 94
  • Computer Networks and Communications 185
  • Information Systems 176
  • Information Systems and Management 30
  • Management Science and Operations Research 53
Replace Khouloud Boukadi with:
Khouloud Boukadi Tunisia
Ben Amaba United States
Altan Koçyiğit Türkiye
Everton Cavalcante Brazil
David S. Linthicum United States
Dieter Uckelmann Germany
Walid Gaaloul France
Judith Hurwitz
Aneta Poniszewska-Marańda Poland
Toby J. Velte United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Pakkala

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pakkala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daniel Pakkala, 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 Pakkala Line = papers co-authored together Daniel Pakkala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015154
2 201435
3 201527
4 200726
5 201923
6 202020
7 200416
8 200515
9 202011
10 200310
11 20219
12 20089
13
Lightweight distributed service platform for adaptive mobile services
20049
14 20256
15
Towards a Distributed Service Platform for Extending Enterprise Applications to the Mobile Computing Domain.
20046
16 20055
17 20235
18 20224
19 20074
20 20044

About Daniel Pakkala

Daniel Pakkala is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems, having authored 36 papers that have together received 426 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (13 papers), Context-Aware Activity Recognition Systems (9 papers), Advanced Software Engineering Methodologies (7 papers), Distributed and Parallel Computing Systems (6 papers), IoT and Edge/Fog Computing (5 papers), Software System Performance and Reliability (4 papers), Service and Product Innovation (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Management Information Systems (94 citations), Computer Networks and Communications (185 citations), Information Systems (176 citations), Information Systems and Management (30 citations) and Management Science and Operations Research (53 citations). Daniel Pakkala has collaborated with scholars based in Finland, United States and Netherlands. Frequent co-authors include Pekka Pääkkönen, Anne Immonen, Jim Spohrer, Eila Niemelä, Eila Ovaska, Jiehan Zhou, Jussi Kiljander, Mika Ylianttila, Jukka Riekki and Kimmo Ahola. Their work appears in journals such as Service Oriented Computing and Applications, IEEE Access, Computers in Industry, Future Internet and IEEE Wireless Communications.

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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