Todd R. Andel

1.1k citations
58 papers · 653 · h-index 14

Impact in

Papers in

Todd R. Andel

52 papers receiving 608 citations

Peers

Todd R. Andel
Comparison fields: 5 of 62
  • Computer Networks and Communications 352
  • Signal Processing 146
  • Hardware and Architecture 87
  • Information Systems 155
  • Software 22
Replace Alec Yasinsac with:
Alec Yasinsac United States
Gedare Bloom United States
Georgia Sakellari United Kingdom
Xiaohui Kuang China
Tobias Hoppe Germany
Firooz B. Saghezchi Portugal
Georg Macher Austria
Chia-Wei Hsu Taiwan
Yingxu Lai China
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Citations per field
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Citations per year

Countries citing papers authored by Todd R. Andel

Since Specialization
Citations

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

Fields of papers citing papers by Todd R. Andel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd R. Andel. 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 Todd R. Andel. The network helps show where Todd R. Andel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006138
2 201762
3 201554
4 201442
5 200739
6 200929
7 201422
8 201619
9 202118
10 201417
11 201116
12 201614
13 200814
14 201814
15 200911
16 201011
17 201710
18 201810
19 202010
20 20148

About Todd R. Andel

Todd R. Andel is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 58 papers that have together received 653 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (23 papers), Security and Verification in Computing (17 papers), Physical Unclonable Functions (PUFs) and Hardware Security (12 papers), Network Security and Intrusion Detection (11 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Smart Grid Security and Resilience (9 papers), Cryptographic Implementations and Security (7 papers) and Mobile Ad Hoc Networks (7 papers). The work is most often cited by research in Computer Networks and Communications (352 citations), Signal Processing (146 citations), Hardware and Architecture (87 citations), Information Systems (155 citations) and Software (22 citations). Todd R. Andel has collaborated with scholars based in United States, France and Canada. Frequent co-authors include J. Todd McDonald, Alec Yasinsac, Mark Yampolskiy, Michael Doran, Paul Carsten, William Bradley Glisson, Jeffrey W. Humphries, Kenneth M. Hopkinson, Barry E. Mullins and William Mahoney. Their work appears in journals such as IEEE Transactions on Power Delivery, Journal of the Association for Information Systems, IEEE Communications Surveys & Tutorials, Computer and Simulation Modelling Practice and Theory.

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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