Dan Levin

1.9k citations
46 papers · 1.4k · h-index 14

Impact in

Papers in

Dan Levin

41 papers receiving 1.3k citations

Peers

Dan Levin
Comparison fields: 5 of 85
  • Computer Networks and Communications 708
  • Developmental and Educational Psychology 261
  • Education 563
  • Computer Science Applications 32
  • Information Systems and Management 38
Replace Michael J. Cahill with:
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Dan Levin relative to Michael J. Cahill United States Michael J. Cahill's profile →
Citations per field
00.5×4.2×
Michael J. Cahill · 1×
Citations per year

Countries citing papers authored by Dan Levin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009257
2 2012240
3 2011207
4 2013129
5
OFRewind: enabling record and replay troubleshooting for networks
2011107
6 200992
7 201581
8 201345
9 201343
10 201329
11 201221
12 201321
13 201416
14 201515
15 201413
16
STN: A Robust and Distributed SDN Control Plane
201410
17 20157
18 20136
19 20156
20
Exploring how novice teachers learn to attend to students' thinking in analyzing case studies of classroom teaching and learning
20105

About Dan Levin

Dan Levin is a scholar working on Computer Networks and Communications, Materials Chemistry, Mechanical Engineering, Education and Mechanics of Materials, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (12 papers), Material Properties and Failure Mechanisms (5 papers), Intermetallics and Advanced Alloy Properties (5 papers), Shape Memory Alloy Transformations (5 papers), Innovative Teaching and Learning Methods (4 papers), Network Security and Intrusion Detection (4 papers), Science Education and Pedagogy (4 papers) and Education and Critical Thinking Development (4 papers). The work is most often cited by research in Computer Networks and Communications (708 citations), Developmental and Educational Psychology (261 citations), Education (563 citations), Computer Science Applications (32 citations) and Information Systems and Management (38 citations). Dan Levin has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Janet E. Coffey, David Hammer, Anja Feldmann, Stefan Schmid, Marco Canini, Andreas Wundsam, Brandon Heller, Nikhil Handigol, Petr Kuznetsov and Srini Seetharaman. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Computer, Journal of Teacher Education, Science Education and International Journal of Science Education.

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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