Jan Erik Håkegård

499 citations
31 papers · 276 indexed · h-index 8

Jan Erik Håkegård

26 papers receiving 265 citations

Peers

Jan Erik Håkegård
Comparison fields: 5 of 64
  • Health Informatics 24
  • Transportation 46
  • Artificial Intelligence 84
  • Computer Networks and Communications 56
  • Building and Construction 24
Replace Bernardo Camajori Tedeschini with:
Bernardo Camajori Tedeschini Italy
Jingwei Sun United States
Hung Cao Canada
Shukang Yin China
Nihad Karim Chowdhury Bangladesh
Junfeng Hu China
Nitin Kumar Chauhan India
Kent Gauen United States
Rajesh Arunachalam India
Clement Nyirenda South Africa
Jan Erik Håkegård relative to Bernardo Camajori Tedeschini Italy Bernardo Camajori Tedeschini's profile →
Citations per field
00.5×10×15.3×
Bernardo Camajori Tedeschini · 1×
Citations per year

Countries citing papers authored by Jan Erik Håkegård

Since Specialization
Citations

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

Fields of papers citing papers by Jan Erik Håkegård

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Erik Håkegård. 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 Jan Erik Håkegård. The network helps show where Jan Erik Håkegård may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 202417
3 20231
4 202311
5 20232
6 20230
7 20226
8 20222
9
LambdaRoad - Summarizing the main findings of work package 1: System and organizational requirements for CCAM"
20200
10 20201
11 20190
12 201811
13 201740
14 20122
15 20094
16 20095
17 20091
18 20097
19 20081
20 20000

About Jan Erik Håkegård

Jan Erik Håkegård is a scholar working on Health Informatics, Computer Networks and Communications and Aerospace Engineering, having authored 31 papers that have together received 276 indexed citations. Recurring topics across this work include Power Line Communications and Noise (7 papers), Satellite Communication Systems (5 papers), Wireless Communication Networks Research (5 papers), Advanced Wireless Communication Technologies (4 papers), Underwater Vehicles and Communication Systems (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Health Informatics (24 citations), Transportation (46 citations) and Artificial Intelligence (84 citations). Jan Erik Håkegård has collaborated with scholars based in Norway, United States and Finland. Frequent co-authors include Tor André Myrvoll, Ashish Rauniyar, Ulaş Bağcı, Danda B. Rawat, Vladimir Vlassov, Debesh Jha, Desta Haileselassie Hagos, François Septier, Tomoko Matsui and Geir E. Øien. Their work appears in journals such as IEEE Sensors Journal, Sensors, IEEE Internet of Things Journal, Journal of Research of the National Institute of Standards and Technology and IEEE Access.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026