Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The worst-case execution-time problem—overview of methods and survey of tools
20081.1k citationsJakob Engblom, Andreas Ermedahl et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Jakob Engblom'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 Jakob Engblom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakob Engblom more than expected).
This network shows the impact of papers produced by Jakob Engblom. 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 Jakob Engblom. The network helps show where Jakob Engblom may publish in the future.
Co-authorship network of co-authors of Jakob Engblom
This figure shows the co-authorship network connecting the top 25 collaborators of Jakob Engblom.
A scholar is included among the top collaborators of Jakob Engblom 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 Jakob Engblom. Jakob Engblom is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Engblom, Jakob. (2012). A review of reverse debugging. 1–6.25 indexed citations
Engblom, Jakob, Andreas Ermedahl, Mikael Sjödin, Jan Gustafsson, & Hans Hansson. (2003). Execution-Time Analysis for Embedded Real-Time Systems. International Journal on Software Tools for Technology Transfer. 4(4). 437–455.8 indexed citations
8.
Engblom, Jakob. (2003). Full-System Simulation Technology : Extended abstract appearing in the proceedings of ESSES 2003 (European Summer School on Embedded Systems).1 indexed citations
Engblom, Jakob. (2002). Processor Pipelines and Static Worst-Case Execution Time Analysis. KTH Publication Database DiVA (KTH Royal Institute of Technology).81 indexed citations
Carlsson, Martin, et al.. (2002). Worst-Case Execution Time Analysis of Disable Interrupt Regions in a Commercial Real-Time Operating System.28 indexed citations
13.
Engblom, Jakob. (2002). Effects of Branch Predictors on Execution Time. KTH Publication Database DiVA (KTH Royal Institute of Technology).2 indexed citations
14.
Engblom, Jakob. (2001). On Hardware and Hardware Models for Embedded Real-Time Systems.12 indexed citations
15.
Engblom, Jakob, Andreas Ermedahl, & Friedhelm Stappert. (2001). A Worst-Case Execution-Time Analysis Tool Prototype for Embedded Real-Time Systems.7 indexed citations
Engblom, Jakob, Andreas Ermedahl, & Friedhelm Stappert. (2001). Validating a Worst-Case Execution Time Analysis Method for an Embedded Processor. KTH Publication Database DiVA (KTH Royal Institute of Technology).5 indexed citations
Engblom, Jakob. (1999). Embedded Code != Desktop Code. Why SpecInt95 Should Not Be Used to Benchmark Embedded Systems Tools.1 indexed citations
20.
Engblom, Jakob, et al.. (1997). A Platform for Secure Mobile Agents.1 indexed citations
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.