Kerim Kalafala

1.1k total citations · 1 hit paper
9 papers, 898 citations indexed

About

Kerim Kalafala is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Statistics, Probability and Uncertainty. According to data from OpenAlex, Kerim Kalafala has authored 9 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Hardware and Architecture and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Kerim Kalafala's work include Low-power high-performance VLSI design (8 papers), VLSI and FPGA Design Techniques (6 papers) and VLSI and Analog Circuit Testing (4 papers). Kerim Kalafala is often cited by papers focused on Low-power high-performance VLSI design (8 papers), VLSI and FPGA Design Techniques (6 papers) and VLSI and Analog Circuit Testing (4 papers). Kerim Kalafala collaborates with scholars based in United States and Netherlands. Kerim Kalafala's co-authors include C. Visweswariah, S.G. Walker, Kaushik Ravindran, Ria Otten, Srinath R. Naidu, J.A.G. Jess, N. Venkateswaran, Jeffrey G. Hemmett, Debjit Sinha and Tsung‐Wei Huang and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Kerim Kalafala

9 papers receiving 844 citations

Hit Papers

First-order incremental b... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kerim Kalafala United States 6 824 638 57 50 46 9 898
Sarvesh Bhardwaj United States 14 1.1k 1.4× 428 0.7× 29 0.5× 88 1.8× 37 0.8× 31 1.2k
Chandu Visweswariah United States 17 870 1.1× 614 1.0× 66 1.2× 34 0.7× 22 0.5× 47 911
R. Burch United States 8 504 0.6× 360 0.6× 40 0.7× 29 0.6× 11 0.2× 20 561
S. Cherubal United States 13 598 0.7× 540 0.8× 79 1.4× 23 0.5× 7 0.2× 22 651
N. Venkateswaran United States 8 305 0.4× 242 0.4× 16 0.3× 45 0.9× 14 0.3× 17 369
R. Ramanarayanan India 9 182 0.2× 119 0.2× 15 0.3× 41 0.8× 20 0.4× 35 311
Rajeev R. Rao United States 10 1.1k 1.4× 738 1.2× 63 1.1× 201 4.0× 13 0.3× 10 1.2k
E. Malavasi United States 13 694 0.8× 509 0.8× 80 1.4× 54 1.1× 4 0.1× 41 753
M. Favalli Italy 19 983 1.2× 879 1.4× 33 0.6× 143 2.9× 7 0.2× 112 1.1k
Rahul Rao United States 8 746 0.9× 481 0.8× 62 1.1× 122 2.4× 5 0.1× 9 793

Countries citing papers authored by Kerim Kalafala

Since Specialization
Citations

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

Fields of papers citing papers by Kerim Kalafala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerim Kalafala

This figure shows the co-authorship network connecting the top 25 collaborators of Kerim Kalafala. A scholar is included among the top collaborators of Kerim Kalafala 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 Kerim Kalafala. Kerim Kalafala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Huang, Tsung‐Wei, Martin D. F. Wong, Debjit Sinha, Kerim Kalafala, & N. Venkateswaran. (2016). A distributed timing analysis framework for large designs. 1–6. 24 indexed citations
2.
Sinha, Debjit, et al.. (2016). Practical statistical static timing analysis with current source models. 1–6. 2 indexed citations
3.
Carothers, Christopher D., et al.. (2010). Prototype for a large-scale static timing analyzer running on an IBM Blue Gene. 1–8. 2 indexed citations
4.
Sinha, Debjit, et al.. (2009). A Hierarchical Transistor and Gate-Level Statistical Timing Flow for Microprocessor Designs. 4 indexed citations
5.
Jess, J.A.G., Kerim Kalafala, Srinath R. Naidu, Ria Otten, & C. Visweswariah. (2006). Statistical Timing for Parametric Yield Prediction of Digital Integrated Circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 25(11). 2376–2392. 21 indexed citations
6.
Visweswariah, C., Kaushik Ravindran, Kerim Kalafala, et al.. (2006). First-Order Incremental Block-Based Statistical Timing Analysis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 25(10). 2170–2180. 185 indexed citations
7.
Visweswariah, C., et al.. (2004). First-order incremental block-based statistical timing analysis. 331–336. 514 indexed citations breakdown →
8.
Jess, J.A.G., Kerim Kalafala, Srinath R. Naidu, Ria Otten, & C. Visweswariah. (2003). Statistical timing for parametric yield prediction of digital integrated circuits. 932–937. 105 indexed citations
9.
Jess, J.A.G., Kerim Kalafala, Srinath R. Naidu, Ria Otten, & C. Visweswariah. (2003). Statistical timing for parametric yield prediction of digital integrated circuits. 41 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.

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