Michael Sokolsky
- Automotive Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Jan BeckerMoritz WerlingSoeren KammelJesse LevinsonDavid HeldJ. Zico KolterDirk LangerOliver Pink
- Topics
- Advanced Database Systems and Queries (3 papers)Software Engineering Research (2 papers)Advanced Software Engineering Methodologies (2 papers)
- Journals
- Computer Standards & InterfacesColumbia Academic Commons (Columbia University)Software Engineering Journal
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Michael Sokolsky
6 papers receiving 873 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Automotive Engineering 407
- Computer Vision and Pattern Recognition 389
- Control and Systems Engineering 178
- Aerospace Engineering 174
- Electrical and Electronic Engineering 171
Countries citing papers authored by Michael Sokolsky
This map shows the geographic impact of Michael Sokolsky'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 Michael Sokolsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sokolsky more than expected).
Fields of papers citing papers by Michael Sokolsky
This network shows the impact of papers produced by Michael Sokolsky. 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 Michael Sokolsky. The network helps show where Michael Sokolsky may publish in the future.
Co-authorship network of co-authors of Michael Sokolsky
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sokolsky. A scholar is included among the top collaborators of Michael Sokolsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Sokolsky. Michael Sokolsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Towards fully autonomous driving: Systems and algorithmsbreakdown → | 901 |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 |
About Michael Sokolsky
Michael Sokolsky is a scholar working on Information Systems, Computer Networks and Communications and Management Information Systems, having authored 6 papers that have together received 927 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Software Engineering Research (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Automotive Engineering (407 citations), Computer Vision and Pattern Recognition (389 citations) and Instrumentation (52 citations). Michael Sokolsky has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jan Becker, Moritz Werling, Soeren Kammel, Jesse Levinson, David Held, J. Zico Kolter, Dirk Langer, Oliver Pink, Vaughan Pratt and Jennifer Dolson. Their work appears in journals such as Computer Standards & Interfaces, Columbia Academic Commons (Columbia University) and Software Engineering Journal.
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.