J. Sauvola

3.4k total citations · 2 hit papers
49 papers, 2.2k citations indexed

About

J. Sauvola is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, J. Sauvola has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Electrical and Electronic Engineering. Recurrent topics in J. Sauvola's work include Mobile Agent-Based Network Management (14 papers), IPv6, Mobility, Handover, Networks, Security (12 papers) and Handwritten Text Recognition Techniques (8 papers). J. Sauvola is often cited by papers focused on Mobile Agent-Based Network Management (14 papers), IPv6, Mobility, Handover, Networks, Security (12 papers) and Handwritten Text Recognition Techniques (8 papers). J. Sauvola collaborates with scholars based in Finland, United States and Belarus. J. Sauvola's co-authors include Matti Pietikäinen, Jun‐Zhao Sun, Tapio Seppänen, Matti Pietikäinen, Jukka Riekki, David Doermann, Oleg Okun, Erkki Harjula, Mika Ylianttila and Marko Jurmu and has published in prestigious journals such as Pattern Recognition, Computer and IEEE Wireless Communications.

In The Last Decade

J. Sauvola

43 papers receiving 2.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

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.

Adaptive document image binarization

2000 1.6k citations J. Sauvola, Matti Pietikäinen Pattern Recognition profile →
Future of software development with generative AI

2024 35 citations J. Sauvola, Sasu Tarkoma et al. Automated Software Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Sauvola Finland	15	1.4k	434	250	207	176	49	2.2k
J. R. Parker Canada	13	667 0.5×	180 0.4×	279 1.1×	156 0.8×	227 1.3×	43	1.5k
Suchendra M. Bhandarkar United States	24	1.0k 0.8×	190 0.4×	286 1.1×	173 0.8×	273 1.6×	137	2.3k
M. Abdullah‐Al‐Wadud Saudi Arabia	23	1.5k 1.1×	632 1.5×	245 1.0×	781 3.8×	265 1.5×	124	3.1k
Fei Su China	20	1.3k 0.9×	148 0.3×	78 0.3×	178 0.9×	425 2.4×	166	2.2k
Ning Lv China	21	405 0.3×	230 0.5×	144 0.6×	204 1.0×	175 1.0×	93	1.6k
Jianfeng Wang China	26	1.8k 1.3×	127 0.3×	254 1.0×	158 0.8×	762 4.3×	62	2.6k
Lin Wang China	23	554 0.4×	137 0.3×	153 0.6×	373 1.8×	337 1.9×	164	1.9k
Hironobu Fujiyoshi Japan	17	2.7k 2.0×	218 0.5×	174 0.7×	424 2.0×	741 4.2×	163	3.6k
Tao Lü China	27	2.1k 1.6×	1.2k 2.7×	104 0.4×	215 1.0×	222 1.3×	254	3.6k

Countries citing papers authored by J. Sauvola

Since Specialization

Citations

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

Fields of papers citing papers by J. Sauvola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sauvola

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sauvola, J., Sasu Tarkoma, Mika Klemettinen, Jukka Riekki, & David Doermann. (2024). Future of software development with generative AI. Automated Software Engineering. 31(1). 35 indexed citations breakdown →

Hannu, Jari, Christian Schuss, Mikko Rajanen, et al.. (2022). Smart mask – Wearable IoT solution for improved protection and personal health. Internet of Things. 18. 100511–100511. 36 indexed citations

Liukkunen, Kari, et al.. (2019). Fenix: A Platform for Digital Partnering and Business Ecosystem Creation. IT Professional. 21(1). 74–81. 4 indexed citations

Sauvola, J., et al.. (2016). Consent Management Architecture for Secure Data Transactions. University of Oulu Repository (University of Oulu). 3 indexed citations

Sun, Jun‐Zhao, Jukka Riekki, J. Sauvola, & Marko Jurmu. (2007). Policy mechanism and evaluation algorithm for connectivity management adaptability. International Journal of Pervasive Computing and Communications. 3(1). 57–81. 2 indexed citations

Sun, Jun‐Zhao & J. Sauvola. (2006). Cross-Layer Processing Methodology of Wireless Sensor Networks. 523–528.

Sun, Jun‐Zhao, Jukka Riekki, Marko Jurmu, & J. Sauvola. (2005). Adaptive connectivity management middleware for heterogeneous wireless networks. IEEE Wireless Communications. 12(6). 18–25. 18 indexed citations

Sun, Jun‐Zhao, J. Sauvola, & Jukka Riekki. (2005). Application of connectivity information for context interpretation and derivation. 3. 303–310. 4 indexed citations

Sun, Jun‐Zhao, Jukka Riekki, Marko Jurmu, & J. Sauvola. (2005). Channel-Based Connectivity Management Middleware for Seamless Integration of Heterogeneous Wireless Networks. 213–219. 4 indexed citations

10.

Riekki, Jukka, et al.. (2004). Enabling Context-Aware Services for Mobile Users. 1 indexed citations

11.

Sun, Jun‐Zhao, Jussi Tenhunen, & J. Sauvola. (2004). Cme: a middleware architecture for network-aware adaptive applications. 1. 839–843. 10 indexed citations

12.

Sun, Jun‐Zhao & J. Sauvola. (2003). On fundamental concept of mobility for mobile communications. 2. 799–803. 6 indexed citations

13.

Sauvola, J. & Omid E. Kia. (2002). Hyperdocument management for compression, transmission and processing. 2916. 537–542. 1 indexed citations

14.

Sauvola, J., et al.. (2002). A distributed management system for testing document image analysis algorithms. 2. 989–995. 4 indexed citations

15.

Sauvola, J., et al.. (2002). Adaptive document binarization. 1. 147–152. 159 indexed citations

16.

Sauvola, J., et al.. (2002). Predictive coding for document layout characterization. 44–50. 1 indexed citations

17.

Sauvola, J. & Matti Pietikäinen. (2000). Adaptive document image binarization. Pattern Recognition. 33(2). 225–236. 1553 indexed citations breakdown →

18.

Okun, Oleg, et al.. (1999). Document skew estimation without angle range restriction. International Journal on Document Analysis and Recognition (IJDAR). 2(2-3). 132–144. 23 indexed citations

19.

Sauvola, J.. (1997). Automated document image preprocessing management utilizing grey-scale image analysis and neural network classification. 1997. 502–506. 2 indexed citations

20.

Sauvola, J. & Matti Pietikäinen. (1996). A document management interface utilizing page decomposition and content-based compression. 34. 752–757 vol.3. 2 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.

Explore authors with similar magnitude of impact