David Eckhoff

76 papers receiving 1.9k citations

David Eckhoff's Hit Papers

Technical Privacy Metrics 2018 · 245 citations
2450+2+5Years since publication50100150200

Peers

David Eckhoff
Comparison fields: 5 of 88
  • Transportation 275
  • Automotive Engineering 482
  • Computer Networks and Communications 716
  • Electrical and Electronic Engineering 1.1k
  • Control and Systems Engineering 467
Replace Renato Lo Cigno with:
Renato Lo Cigno Italy
Chi-Kin Chau Australia
Ivana Dusparić Ireland
Lyes Khoukhi France
Susana Sargento Portugal
Georgios Karagiannis Netherlands
Kshirasagar Naik Canada
Nizar Zorba Qatar
Luciano Bononi Italy
Chao Yang China
David Eckhoff relative to Renato Lo Cigno Italy Renato Lo Cigno's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Eckhoff

Since Specialization
Citations

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

Fields of papers citing papers by David Eckhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011282
2
Technical Privacy Metrics
Hit paper breakdown →
2018245
3 2017216
4 2019160
5 201382
6 201373
7 201464
8 201360
9 201257
10 201156
11 201055
12 201950
13 201446
14 201144
15 201732
16 201629
17 201526
18 201122
19 201720
20 201418

About David Eckhoff

David Eckhoff is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Transportation and Artificial Intelligence, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Traffic control and management (36 papers), Vehicular Ad Hoc Networks (VANETs) (32 papers), Transportation Planning and Optimization (20 papers), Traffic Prediction and Management Techniques (13 papers), Autonomous Vehicle Technology and Safety (12 papers), Privacy-Preserving Technologies in Data (12 papers), Transportation and Mobility Innovations (10 papers) and Privacy, Security, and Data Protection (8 papers). The work is most often cited by research in Transportation (275 citations), Automotive Engineering (482 citations), Computer Networks and Communications (716 citations), Electrical and Electronic Engineering (1.1k citations) and Control and Systems Engineering (467 citations). David Eckhoff has collaborated with scholars based in Germany, Singapore and United Kingdom. Frequent co-authors include Christoph Sommer, Isabel Wagner, Reinhard German, Falko Dressler, Alois Knoll, Alexander Brummer, Wentong Cai, Dominik S. Buse, Michele Segata and Florian Hagenauer. Their work appears in journals such as IEEE Access, Computer Communications, ACM Computing Surveys, IEEE Vehicular Technology Magazine and Autonomous Agents and Multi-Agent Systems.

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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